[{"source_id":"S000","organisation":"Inteprolation","title":"Inteprolation","details":"","authors":"","methodology":"","sample_size":"","target_pop":"","scale":"","quality_check":"","impact_factor":"","access_type":"","source_comment":"","publication_channel":"","link":"","source_date":null,"key_words":"","source_status":"","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S000"},{"source_id":"S001","organisation":"Africa CDC","title":"COVID-19 Vaccine Perceptions in Africa","details":"Despite regional differences the World Health Organisation (WHO) and healthcare professionals are key sources that need to provide their seal of approval in order for respondents to trust in the safety and efficacy of a potential COVID-19 vaccine.","authors":"Africa CDC, LSHTM, VCP, ORB","methodology":"Face-to-face interview","sample_size":"12570","target_pop":"","scale":"Multi-country","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"12,570 across 12 countries","publication_channel":"Africa CDC","link":"https://africacdc.org/download/covid-19-vaccine-perceptions-a-15-country-study/","source_date":"2021-02-01T00:00:00","key_words":"vaccination|hesitancy","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S001"},{"source_id":"S002","organisation":"Ground Truth Solutions","title":"Perceptions des personnes affectées sur le COVID-19","details":"The aim of this survey is to understand the perceptions of those affected on: 1) information sharing, 2) measures applied, 3) economic impact of COVID-19, as well as 4) social impact of the virus.","authors":"Ground Truth Solutions","methodology":"Misc.","sample_size":"400","target_pop":"Affected people","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"Through telephone surveys, conducted by a local team in Burkina Faso from the Africa Polling Institute (API), we spoke to 400 respondents in 9 communes. Africa Polling Institute (API), we spoke to 400 respondents in 9 communes in the Centre-North region of the Centre-North region of Burkina Faso. The surveys were conducted in Mooré, Fulfulde or French. To complement these telephone surveys, we also collaborated with the REACH with REACH Initiative. By asking questions similar to those we had asked on the phone, the REACH team REACH interviewed key informants in Kaya (Centre-North) and Dori (Sahel), asking questions similar to those we had asked on the phone and Dori (Sahel) through face-to-face surveys. It is important to note that It is important to note that the responses of key informants reflect what they think their communities feel, believe or do, while the responses of individuals in the telephone surveys reflect their own perceptions.","publication_channel":"Collective Service","link":"https://drive.google.com/drive/folders/1ykZVs-cCwG75CwicRFmYIcSyDw5hjoRb","source_date":"2020-11-01T00:00:00","key_words":"information | protective measures | economic impact |psychosocial impact","source_status":"Processed","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S002"},{"source_id":"S003","organisation":"Misc.","title":"Country data collection (KAP survey, Community Rapid Assessment, Community feedback systems, …)","details":"","authors":"","methodology":"Misc.","sample_size":"0","target_pop":"","scale":"","quality_check":"","impact_factor":"","access_type":"","source_comment":"","publication_channel":"","link":"","source_date":null,"key_words":"","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S003"},{"source_id":"S004","organisation":"Geopoll","title":"Vaccine Hesitancy and COVID-19 Vaccine Acceptance in sub-Saharan Africa","details":"In November 2020 GeoPoll conducted a study in Côte D’Ivoire, the Democratic Republic of Congo, Kenya, Mozambique, Nigeria, and South Africa to gauge how lives have changed in 2020, people’s views on the future, and their willingness to take a vaccine. This report compares results from this most recent study with GeoPoll’s previous studies, which covered topics from perception of the disease to the economic impacts of COVID-19 in multiple African countries","authors":"S. Lansell","methodology":"Texting survey","sample_size":"3000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"The study was run through SMS, in which a 2-way text message conversation takes place, with one survey question being sent at a time. Messages utilize short codes which are free to respond to, meaning respondents can participate even if they do not have airtime in their accounts. A small incentive in the form of airtime credit was provided upon survey completion.","publication_channel":"GeoPoll","link":"https://www.geopoll.com/blog/COVID-19-vaccine-sub-saharan-africa/","source_date":"2020-12-11T00:00:00","key_words":"","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S004"},{"source_id":"S005","organisation":"Geopoll","title":"Report: Coronavirus in sub-Saharan Africa","details":"Data was collected from 10 countries, and we ran the same questionnaire as our last study in order to detect any shifts in behavior or concerns over time. Surveys ran from April 24th to May 8th 2020, with a total of 3994 respondents, 400 from each country except Rwanda, which had 394 respondents. ","authors":"R. Elliott","methodology":"Texting survey","sample_size":"3994","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Dashboard","source_comment":"The sample was roughly nationally representative by age, gender, and location within each country, and respondents for this study are part of a unique panel created following GeoPoll’s previous coronavirus study. You can jump to the dashboard of results below, and to request raw data or country-level demographic breakdowns by emailing","publication_channel":"GeoPoll","link":"https://www.geopoll.com/blog/coronavirus-in-sub-saharan-africa-food-security-covid-testing/","source_date":"2020-05-18T00:00:00","key_words":"","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S005"},{"source_id":"S006","organisation":"Imperial College London","title":"COVID-19 Behaviour Tracker","details":"The Imperial College's global survey, launched in partnership with YouGov the first week of April, is collecting fortnightly data from 29 countries to explore the public’s attitudes and health behaviours as the situation evolves. This survey monitors how compliant individuals are with COVID-19 safety measures, such as self-isolation and avoiding unnecessary travel. It's also looking into a range of other relevant behaviours and measures, from hygiene to quality of life.","authors":"Imperial College London","methodology":"Web-based survey","sample_size":"30000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Dataset","source_comment":"in 29 countries","publication_channel":"COVID Data Hub","link":"http://www.COVIDdatahub.com/","source_date":"2020-06-01T00:00:00","key_words":"behaviour","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S006"},{"source_id":"S007","organisation":"Indonesia Ministry of Health","title":"COVID-19 Vaccine Acceptance Survey in Indonesia","details":"The MoH with support from UNICEF and WHO, conducted an online survey in Indonesia to understand the public views, perceptions, and concerns about COVID-19 vaccination.","authors":"Indonesia MoH, WHO, UNICEF","methodology":"Web-based survey","sample_size":"115000","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"The online survey took place from 19 to 30 September 2020. More than 115,000 respondents from all 34 provinces completed the survey. The distribution of respondents varied by question and province. Almost of all the 514 districts in the country (nearly 99 per cent) participated in the survey; six districts did not have any respondents (two in West Papua and four in Papua province). About 69 per cent of the total respondents were from Java and 13 per cent from Sumatra, where aproximately 75 per cent of the country’s population resides.","publication_channel":"COVID-19 Task Force","link":"https://COVID19.go.id/storage/app/media/Hasil%20Kajian/2020/November/vaccine-acceptance-survey-en-12-11-2020final.pdf","source_date":"2020-11-12T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S007"},{"source_id":"S008","organisation":"Ipsos","title":"Global attitudes on a COVID 19 vaccine - Oct20","details":"In a new Ipsos survey of more than 18,000 adults from 15 countries conducted in partnership with the World Economic Forum, 73% say they would get a vaccine for COVID-19 if it were available. This is four percentage points less than three months earlier, pointing to a drop in intentions to get vaccinated when possible.","authors":"Ipsos","methodology":"Web-based survey","sample_size":"18526","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos interviewed a total of 18,526 adults aged 18-74 in the United States, Canada, and South Africa, and 16-74 in Australia, Brazil, China (mainland), France, Germany, India, Italy, Japan, Mexico, South Korea,Spain, and the United Kingdom. Online samples in Brazil, China, India, Mexico, and South Africa tend to be more urban, educated, and/or affluent than the general population","publication_channel":"Ipsos","link":"https://www.ipsos.com/en/global-attitudes-covid-19-vaccine-october-2020","source_date":"2020-10-10T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S008"},{"source_id":"S009","organisation":"Peking University","title":"Acceptance of COVID-19 Vaccination during the COVID-19 Pandemic in China","details":"The study collected socio-demographic characteristics, risk perception, the impact of COVID-19, attitudes, acceptance and attribute preferences of vaccines against COVID-19 during the pandemic.","authors":"J. Wang and al.","methodology":"Web-based survey","sample_size":"2058","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Anonymous cross-sectional survey was conducted online using a stratified random sampling method on the largest online survey platform in China: Wen Juan Xing. Chinese respondents aged 18 years and above residing in Mainland China on the Wen Juan Xing sample database were eligible to participate in the survey. In general, 2100 respondents were randomly selected, and the final sample consisted of 2058 respondents after quality control and manual check procedures to exclude incomplete and invalid questionnaires","publication_channel":"Vaccines (MDPI)","link":"https://doi.org/10.3390/vaccines8030482","source_date":"2020-08-27T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S009"},{"source_id":"S010","organisation":"The Chinese University of Hong Kong","title":"Change of Willingness to Accept COVID-19 Vaccine and Reasons of Vaccine Hesitancy of Working People at Different Waves of Local Epidemic in Hong Kong, China: Repeated Cross-Sectional Surveys","details":"This study aimed to report the trend in response to willingness to accept the COVID-19 vaccine between two waves of the local epidemic and examine differences among occupations.","authors":"K. Wang and al.","methodology":"Web-based survey","sample_size":"1047","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"This study comprised two cross-sectional online surveys among the working population in Hong Kong (HK), China. This first survey was conducted from 17 to 27 February 2020 when the “first wave” of the local COVID-19 epidemic occurred and before declaration of the pandemic by WHO on 14 March 2020 [24]; the second survey was conducted from 24 August to 7 September 2020 when the “third wave” of the local epidemic was coming to an end [25,26]. Ethics approval of this study was obtained from the Survey and Behavioural Research Ethics Committee of The Chinese University of Hong Kong. standardized value","publication_channel":"Vaccines (MDPI)","link":"https://doi.org/10.3390/vaccines9010062","source_date":"2021-01-18T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S010"},{"source_id":"S011","organisation":"UNICEF","title":"KAP Stigma of person affected by COVID-19/who survived COVID-19","details":"Stigmatisation des personnes/familles ayant la COVID-19 ou ayant survécu à la COVID-19","authors":"U-Report Mali","methodology":"Texting survey","sample_size":"5192","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"U-Report Mali","link":"https://mali.ureport.in/opinion/4355/","source_date":"2020-06-30T00:00:00","key_words":"stigma","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S011"},{"source_id":"S012","organisation":"The University of Jordan","title":"High Rates of COVID-19 Vaccine Hesitancy and Its Association with Conspiracy Beliefs: A Study in Jordan and Kuwait among Other Arab Countries","details":"The aim of this study was to assess the attitudes towards the prospective COVID-19 vaccines among the general public in Jordan, Kuwait and other Arab countries. We also aimed to assess the association between COVID-19 vaccine acceptance and conspiracy beliefs. This study used an online survey distributed in December 2020, with items assessing conspiracies regarding COVID-19’s origin and vaccination. Attitudes towards COVID-19 vaccines were assessed using the Vaccine Conspiracy Belief Scale (VCBS), with higher scores indicating a greater belief in vaccine conspiracy","authors":"M. Sallam, et al.","methodology":"Web-based survey","sample_size":"3414","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The data utilized in this cross-sectional study on attitude were collected using an online-based questionnaire, which was conducted between 14 December 2020 (15:00) and 18 December 2020 (21:00), and targeted residents in Jordan aged 16 years and above. Other participants from Arab-speaking countries were invited as well. Potential participant recruitment was performed by advertisement on social media platforms (i.e., Facebook, Instagram and Twitter) and through free messaging services (WhatsApp and Snapchat), starting with contacts of the authors in Jordan and Kuwait.","publication_channel":"Vaccines (MDPI)","link":"https://doi.org/10.3390/vaccines9010042","source_date":"2021-01-12T00:00:00","key_words":"vaccination|conspiracy","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S012"},{"source_id":"S013","organisation":"College of Medicine, King Saud University","title":"COVID-19 vaccine confidence and hesitancy among healthcare workers: a cross-sectional survey from a MERS-CoV experienced nation","details":"This study aimed to identify COVID-19 vaccine perception, acceptance, confidence, hesitancy, and barriers among healthcare workers (HCW).","authors":"M. Barry and al.,","methodology":"Web-based survey","sample_size":"1512","target_pop":"Healthcare workers","scale":"National","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"This was a national cross-sectional survey among HCWs in KSA during the COVID-19 pandemic. [30] Data were collected between 4 and 14 November 2020. Participants were recruited from several social media platforms and email lists using a convenience sampling technique. The survey was a pilot-validated, self-administered questionnaire that was sent to HCW online through SurveyMonkey©, a platform that allows researchers to deploy and analyze surveys via the web.","publication_channel":"medRxiv","link":"https://www.medrxiv.org/content/10.1101/2020.12.09.20246447v1.full","source_date":"2020-12-11T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S013"},{"source_id":"S014","organisation":"Medical Ethics Committee - Fujian Medical University","title":"Understanding COVID-19 vaccine demand and hesitancy: A nationwide online survey in China","details":"This study attempts to understand coronavirus disease 2019 (COVID-19) vaccine demand and hesitancy by assessing the public’s vaccination intention and willingness-to-pay (WTP). Confidence in COVID-19 vaccines produced in China and preference for domestically-made or foreign-made vaccines was also investigated.","authors":"Y. Lin, Z. Hu, Q. Zhao, H. Alias, M. Danaee, L. P. Wong","methodology":"Web-based survey","sample_size":"3541","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The survey was conducted from 1–19 May 2020. The research team used WeChat (the most popular social media platform in China) to advertise and circulate the survey link to their network members. Network members were requested to distribute the survey invitation to all their contacts throughout the country. The participants were informed that their participation was voluntary, and consent was implied through their completion of the questionnaire. The inclusion criteria were that the respondents were Chinese citizens who were at least 18 years old, and able to comprehend and read Chinese.","publication_channel":"Plos Neglected Tropical Diseases","link":"https://doi.org/10.1371/journal.pntd.0008961","source_date":"2020-12-17T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S014"},{"source_id":"S016","organisation":"Massey University","title":"Aotearoa New Zealand Public Attitudes to COVID-19 Vaccine","details":"This report describes the attitudes of the New Zealandpublic towards vaccination in general and coronavirus vaccine in particular","authors":"V. Menon and J. Thaker","methodology":"Web-based survey","sample_size":"1040","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"The data in this report are based on a scientific online poll of 1040 New Zealand adults, aged 18and older, conducted by the School of Communication, Journalism & Marketing—Te Pou AroK?rero. Data was collected by Qualtrics. The survey was conducted between June 26 to July 13,2020. All questionnaires were self-administered by respondents in a web-based environment.The survey took about 22 minutes on average to complete. The data were weighted, post survey,on gender, age, education, and ethnicity to match the New Zealand census estimates. Weightsranged from 0.47 to 3.30, with a mean of 1.21, median of 0.98, and standard deviation of 0.63.95% of the weights fall between 0.58 and 2.15. ","publication_channel":"Massey University","link":"https://mro.massey.ac.nz/bitstream/handle/10179/15567/Aotearoa%20New%20Zealand%20Public%20Attitudes%20to%20COVID-19%20Vaccine.pdf?sequence=1","source_date":"2020-08-20T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S016"},{"source_id":"S017","organisation":"MIT","title":"MIT COVID-19 Survey on Beliefs, Behaviors and Norms","details":"MIT are conducting a large-scale, international survey related to COVID-19 in over 60 countries to help policymakers and researchers better monitor and understand people’s knowledge, beliefs, behaviors, and risk perceptions across the world. The survey went live on July 7, 2020 and data is continuing to be collected until at leas December 2020. The survey was translated to 51 languages. As of December 4, 2020, we had received over 1,000,000 completes from 67 countries.","authors":"MIT, Facebook, WHO","methodology":"Web-based survey","sample_size":"1000000","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Dataset","source_comment":"Based on the various attributes of each client and their patterns of engagement with the Facebook platform, the Facebook team designed a regularized regression and post-stratification model to issue a set of weights for the survey respondents in each wave (Wang et al. 2015). Subsequently, the survey respondents are modeled as differing not only in their demographics (through post-stratification), but also in their response or nonresponse behaviors. Over 1 million respondents weekly","publication_channel":"MIT","link":"https://COVIDsurvey.mit.edu/","source_date":"2020-07-01T00:00:00","key_words":"beliefs|vaccination|health workers|perception|practice","source_status":"Processed","frequency":"monthly","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S017"},{"source_id":"S018","organisation":"Barcelona Institute for Global Health","title":"A global survey of potential acceptance of a COVID-19 vaccine","details":"In June 2020, this study surveyed 13,426 people in 19 countries to determine potential acceptance rates and factors influencing acceptance of a COVID-19 vaccine. Of these, 71.5% of participants reported that they would be very or somewhat likely to take a COVID-19 vaccine, and 48.1% reported that they would accept their employer’s recommendation to do so. Differences in acceptance rates ranged from almost 90% (in China) to less than 55% (in Russia). Respondents reporting higher levels of trust in information from government sources were more likely to accept a vaccine and take their employer’s advice to do so.","authors":"J. V. Lazarus, S. C. Ratzan, A. Palayew, L. O. Gostin, H. J. Larson, K. Rabin, S. Kimball and A. El-Mohandes","methodology":"Web-based survey","sample_size":"13426","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Survey data were collected from 16 to 20 June 2020 from an online panel of 13,426 respondents aged 18 years and older from 19 different countries, ranging between 619 and 773 participants per country. Sample sizes were based on country studies comparing results by demographic characteristic groups (eg age and income groups). The margins of error ranged between 3.5 and 3.9 percentage points. ","publication_channel":"Nature Medecine","link":"https://doi.org/10.1038/s41591-020-1124-9","source_date":"2020-10-01T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S018"},{"source_id":"S019","organisation":"University of Oxford","title":"COVID-19 vaccine hesitancy in the UK: the Oxford coronavirus explanations, attitudes, and narratives survey (Oceans) II","details":"The aim of this study was to estimate provisional willingness to receive a coronavirus 2019 (COVID-19) vaccine, identify predictive socio-demographic factors, and, principally, determine potential causes in order to guide information provision.","authors":"D. Freeman, B. S. Loe, A. Chadwick, C. Vaccari, F. Waite, L. Rosebrock, L. Jenner, A. Petit, S. Lewandowsky, S. Vanderslott, S. Innocenti, M. Larkin, A. Giubilini, L.-M. Yu, H. McShane, A. J. Pollard and S. Lambe","methodology":"Web-based survey","sample_size":"5114","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"An online survey with a new quota sampled UK participant group of 5,114 adults (18+ years old) was conducted from 24th September to the 17th October 2020 via a market research company. The quotas were based on UK Office for National Statistics population estimate data for gender, age, ethnicity, income, and region. Invited respondents did not know the topic of the survey before provisional agreement to complete it. OCEANSII was approved by the University of Oxford Central University Research Ethics Committee. (See online supplementary materials for further survey detail.)","publication_channel":"Psychological Medicine, Cambridge University Press","link":"https://doi.org/10.1017/S0033291720005188","source_date":"2020-12-11T00:00:00","key_words":"vaccination|conspiracy","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S019"},{"source_id":"S020","organisation":"PEW Research Center","title":"Intent to Get a COVID-19 Vaccine Rises to 60% as Confidence in Research and Development Process Increases (USA)","details":"Pew Research Center conducted this study to understand how Americans are continuing to respond to the coronavirus outbreak. For this analysis, we surveyed 12,648 U.S. adults from Nov. 18 to 29, 2020.","authors":"C. Funk and A. Tyson","methodology":"Web-based survey","sample_size":"10121","target_pop":"","scale":"National","quality_check":"External review","impact_factor":"","access_type":"Report","source_comment":"Data in this report is drawn from the panel wave conducted Feb. 16 to Feb. 21, 2021. A total of 10,121 panelists responded out of 11,605 who were sampled, for a response rate of 87%. This does not include three panelists who were removed from the data due to extremely high rates of refusal or straightlining. The cumulative response rate accounting for nonresponse to the recruitment surveys and attrition is 4%. The break off rate among panelists who logged on to the survey and completed at least one item is 1%. The margin of sampling error for the full sample of 10,121 respondents is plus or minus 1.6 percentage points.","publication_channel":"PEW Research","link":"https://www.pewresearch.org/science/2020/12/03/intent-to-get-a-covid-19-vaccine-rises-to-60-as-confidence-in-research-and-development-process-increases/","source_date":"2020-12-03T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S020"},{"source_id":"S021","organisation":"GISSE","title":"Opinion poll on COVID-19 in Mali","details":"The GISSE polling institute conducted an opinion poll in order to assess the opinions, behaviors and appreciations of the policies carried out by the government with the population. The aim is also to assess the consequences of COVID-19 on school education and household income.","authors":"Institut de Sondage GISSE","methodology":"Phone survey","sample_size":"350","target_pop":"","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"This survey was carried out in the cities of Bamako and Kayes (which at one moment constituted COVID-19 epicenters) with a sample of 350 people. Starting from our telephone number base (This base contains at least 15,000 telephone numbers from our old polls in Mali) we randomly surveyed 171 men (48.86%) and 179 women (51, 14%).The phone calls were made on May 25 and 26, 2020.","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/1Dh61out9ErM3UqF3L8s8RgfcpXySk8AZ/view?usp=sharing","source_date":"2020-05-01T00:00:00","key_words":"","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S021"},{"source_id":"S022","organisation":"Pulse Asia Research","title":"Pulse Asia Survey","details":"Pulse Asia Research, Inc. conducted a face-to-face survey on population perception related to COVID-19 in the Philippines in December 2020","authors":"Pulse Asia Research","methodology":"Face-to-face interview","sample_size":"2400","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"This nationwide survey is based on a sample of 2,400 representative adults 18 years old and above. It has a ± 2% error margin at the 95% confidence level. Subnational estimates for each of the geographic areas covered in the survey (i.e., Metro Manila, the rest of Luzon, Visayas and Mindanao) have a ± 4% error margin, also at 95% confidence level. Those interested in further technical details may refer to our website (www.pulseasia.ph)","publication_channel":"Pulse Asia","link":"http://www.pulseasia.ph/november-2020-nationwide-survey-on-covid-19/","source_date":"2020-11-01T00:00:00","key_words":"susceptibility | protective measures","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S022"},{"source_id":"S023","organisation":"KAP Survey","title":"Rapid Kap Survey June-July-August 2020","details":"","authors":"","methodology":"","sample_size":"","target_pop":"","scale":"","quality_check":"","impact_factor":"","access_type":"","source_comment":"","publication_channel":"","link":"","source_date":"2020-08-01T00:00:00","key_words":"","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S023"},{"source_id":"S024","organisation":"University College London","title":"COVID-19 vaccine hesitancy is associated with beliefs on the origin of the novel coronavirus in the UK and Turkey","details":"This study aims to examine the levels of COVID-19 vaccine hesitancy and its association with beliefs on the origin of the novel coronavirus in a cross-cultural study.","authors":"G. Salali and M. Uysal","methodology":"Web-based survey","sample_size":"5024","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The study recruited 6067 participants in Turkey and, 1534 in the UK via social media andsnowball sampling. All participants were above 18, residing either in the UK orTurkey.After excluding participants who did not complete the survey fully, and who reportednot residing in the UK or Turkey (for corresponding surveys), we had 3936 participants in Turkey and 1088 participants in the UK. The study was approved bythe UCL Research Ethics Committee (Project ID: 13121/002) and all participantsprovided informed consent","publication_channel":"Psychological Medicine, Cambridge University Press","link":"https://doi.org/10.1017/S0033291720004067","source_date":"2020-10-19T00:00:00","key_words":"vaccination","source_status":"N","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S024"},{"source_id":"S026","organisation":"UNICEF","title":"U-Report Global - Coronavirus Information Centre","details":"Global poll launched in febuary 2020 to measure information demand and access on COVID-19 across over 70 countries","authors":"UNICEF HQ","methodology":"Texting survey","sample_size":"17874","target_pop":"","scale":"Multi-country","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"Limitation on the sample in some countries (less of 100 respondents per country)","publication_channel":"U-Report","link":"https://www.ureport.in","source_date":"2020-05-01T00:00:00","key_words":"informaiton","source_status":"N","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S026"},{"source_id":"S027","organisation":"YouGov","title":"COVID-19 fear of catching survey","details":"","authors":"YouGov","methodology":"Web-based survey","sample_size":"43500","target_pop":"","scale":"Multi-country","quality_check":"External review","impact_factor":"","access_type":"Dashboard","source_comment":"Sample matching is a methodology for selection of representative samples from non-randomly selected pools of respondents. It is ideally suited for Web access panels, but could also be used for other types of surveys, such as phone surveys. ","publication_channel":"YouGov","link":"https://today.yougov.com/topics/international/articles-reports/2020/03/17/fear-catching-covid-19","source_date":"2020-03-17T00:00:00","key_words":"","source_status":"N","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S027"},{"source_id":"S028","organisation":"University of Ibadan","title":"When it is available, will we take it? Public perception of hypothetical COVID-19 vaccine in Nigeria","details":"This study aimed to understand the perception of the public towards a hypothetical COVID-19 vaccine in Nigeria","authors":"Y. Adebayo Adebisi, A. Jumoke Alaran, O. Afolabi Bolarinwa, W. Akande-Sholabi, D. E. Lucero-Prisno","methodology":"Web-based survey","sample_size":"517","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"The study conducted a cross-sectional survey among males and females living in Nigeria at the time of data collection and aged 15 years and older. it used a non-probability convenient sampling technique to recruit the respondents, who were required to fill the questionnaire within the first-one-month period stipulated for the study as used in previous studies [18,19]. The inclusion criteria were being social media users and having access to an internet connection to fill out the online questionnaire. It excluded individuals who do not consent to participate in the study and younger than 15 years of age","publication_channel":"medRxiv","link":"https://doi.org/10.1101/2020.09.24.20200436","source_date":"2020-10-29T00:00:00","key_words":"vaccination","source_status":"N","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S028"},{"source_id":"S029","organisation":"Kantar","title":"COVID-19 Knowledge, Attitude and Practice Assessment for evidence-based communication strategy in Nigeria.","details":"","authors":"Kantar","methodology":"","sample_size":"","target_pop":"","scale":"","quality_check":"","impact_factor":"","access_type":"","source_comment":"","publication_channel":"","link":"","source_date":"2020-08-01T00:00:00","key_words":"","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S029"},{"source_id":"S032","organisation":"The Johanniter","title":"KAP: Health Worker's Perception Survey on Covid-19 in Afghanistan","details":"This report provides an assessment of Knowledge, Perceptions (Attitude) and Practice of Health workers related to COVID 19 responses. The report also assesses the availability and effectiveness of the infrastructure, medical and human resources and the PPEs supplied to health workers. Mental Health and stress levels of the health workers were also assessed.","authors":"The Johanniter","methodology":"Phone survey","sample_size":"213","target_pop":"Healthcare workers","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"The snowball sampling method was used, where in the first phase, the data collected call the health staff randomly from the districts where COVID 19 cases are detected or where the screening activities have started.","publication_channel":"ReliefWeb","link":"https://reliefweb.int/sites/reliefweb.int/files/resources/Health_Worker_s_Perception_Survey_FInal_20052020.pdf","source_date":"2020-04-01T00:00:00","key_words":"vaccination | knowledge | protective measure","source_status":"Identified","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S032"},{"source_id":"S034","organisation":"REACH Initiatives","title":"Communities' Information Access, Preferences, Needs, and Habits assessment - Afghanistan","details":"In partnership with the RCCE Working Group, facilitate a nation-wide evidence base on communities’ information access, gaps, and needs, as well as their communication preferences and habits","authors":"REACH Initiatives, CRS, NRC, IOM, ACBAR, Protection Cluster, WHO, AWAAZ, BBC Media Action","methodology":"Phone survey","sample_size":"2175","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"2,175 Key Informant Interviews (KIIs) in 419 districts between April 19 – 28 2020. Sarah Vose (sarah.vose@reach-initiatives.org)","publication_channel":"Humanitarian Response","link":"https://www.humanitarianresponse.info/en/operations/afghanistan/document/reach-rcce-communities-information-access-preferences-needs-and","source_date":"2020-05-01T00:00:00","key_words":"","source_status":"Identified","frequency":"","sample_type":"Purposive sample","insert_date":"2021-09-28T00:00:00","data_key":"S034"},{"source_id":"S037","organisation":"REACH Initiatives","title":"Hard to Reach (HTR) Needs Assessment - Afghanistan","details":"The Hard-to-Reach (HTR) assessment aims to identify and regularly monitor humanitarian needs and vulnerabilities of populations in HTR districts. There is limited insight into humanitarian needs of populations living in HTR areas, and a need to ensure an evidence-base for a humanitarian response in all areas of Afghanistan, irrespective of access.","authors":"REACH Initiatives","methodology":"Misc.","sample_size":"3533","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"Key informants were identified through snowballing from existing networks from previous assessments and purposefully sampled, based on their knowledge of the community. Key informants commonly included community elders, teachers, nurses, or maliks (village chiefs). In six HTR districts, data collection was not possible in person or via the phone, due to security restrictions and/or a lack of a reliable phone network. Focal point: Sarah Vose (sarah.vose@reach-initiatives.org)","publication_channel":"ReliefWeb","link":"https://reliefweb.int/sites/reliefweb.int/files/resources/AFG_HTR_R3_COVID-19-Overall-Factsheet.pdf","source_date":"2020-07-01T00:00:00","key_words":"","source_status":"Identified","frequency":"Quarterly","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S037"},{"source_id":"S040","organisation":"Care","title":"Afghanistan COVID-19 Rapid Gender Analysis","details":"The objective of this analysis is to assess and understand the gendered impacts of the COVID-19 crisis and to formulate practical recommendations for humanitarian and development program adaptation and responses","authors":"K. L. Yihun","methodology":"Phone survey","sample_size":"320","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"This analysis was conducted from May 17 to June 30, 2020, in seventeen (17) districts in nine (9) provinces in Afghanistan where CARE operates, including Balkh, Ghazni, Hirat, Kabul, Kapisa, Khost, Paktia, Parwan, and Kandahar provinces. A total of 320 people (50.3% women and 49.7% men) participated in the individual survey. Participants were selected randomly from the 17 districts in 9 provinces out of 11,000 lists of beneficiaries from the PQ unit records. ","publication_channel":"ReliefWeb","link":"https://reliefweb.int/sites/reliefweb.int/files/resources/CARE-Afghanistan-RGA-Report-July-2020.pdf","source_date":"2020-07-01T00:00:00","key_words":"gender","source_status":"Identified","frequency":"","sample_type":"Purposive sample","insert_date":"2021-09-28T00:00:00","data_key":"S040"},{"source_id":"S042","organisation":"Protection Cluster","title":"Research Brief: COVID-19 in Afghanistan: KAP & Implications","details":"Samuel Hall is supporting the Afghanistan Protection Cluster (PC) and other stakeholders with this brief to fill in key knowledge gaps around how COVID-19 is understood and perceived and its current and likely implications","authors":"Samuel Hall Protection, Cluster Afghanistan PC","methodology":"Phone survey","sample_size":"401","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"Samuel Hall launched a call-centre in Kabul to collect information from 401 randomly selected Afghan households (333 men and 68 women were interviewed) across 33 of Afghanistan’s 34 provinces, in June 2020. These were asked 40 questions with specific attention given to food security, psycho-social well-being and education.Focal point: Elise Verron (verron@unhcr.org)","publication_channel":"ReliefWeb","link":"https://reliefweb.int/sites/reliefweb.int/files/resources/afg_sh_covid19_research_brief_july_2020.pdf","source_date":"2020-07-01T00:00:00","key_words":"","source_status":"Identified","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S042"},{"source_id":"S051","organisation":"Ground Truth Solutions","title":"COVID-19: Perceptions of people in need in Iraq","details":"Ground Truth Solutions conducted qualitative surveys to further understand the pandemic's effects on daily workers, who have been consistently identified as one of the most impacted groups.","authors":"Ground Truth Solutions","methodology":"Phone survey","sample_size":"924","target_pop":"Refugees, IDPs, and Returnees","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"All participants were IDPs, returnees, or refugees over the age of 18. Of the total number of respondents, 42% were female and 58% were male. Respondents were selected from the IIC database of recent callers and chosen at random by IIC Information Management within the parameters set by the sample, aiming for a 50:50 gender split. In total, 1,006 individuals did not receive aid and 102 did not give their consent to be surveyed, and no interviews were conducted with either group. Language: Arabic. Focal point: Cholpon Ramizova (cholpon@groundtruthsolutions.org)","publication_channel":"Ground Truth Solutions","link":"https://groundtruthsolutions.org/collecting-community-perceptions-on-covid-19-in-iraq/","source_date":"2020-07-01T00:00:00","key_words":"","source_status":"Identified","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S051"},{"source_id":"S052","organisation":"UNICEF","title":"U-Report and COVID-19 related consequences on young people","details":"U-Report is being used to collect data from young people and community members on COVID-19 related consequences that impact the most vulnerable­ including child protection, health, education and emergency response. ","authors":"UNICEF Iraq","methodology":"Texting survey","sample_size":"1055","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"Several polls was conducted by UNICEF Iraq: https://iraq.ureport.in/opinion/1714/ , https://iraq.ureport.in/opinion/1802/, https://iraq.ureport.in/opinion/1833/","publication_channel":"U-Report Iraq","link":"https://iraq.ureport.in","source_date":"2020-07-16T00:00:00","key_words":"","source_status":"Identified","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S052"},{"source_id":"S054","organisation":"UNICEF","title":"KAP survey on COVID-19 among health workers (Iraq)","details":"Central Agency for Public Mobilization and Statistics (CAPMAS) conducted a KAP survey to understand information, knowledge of health workers on WASH- IPC standards under COVID-19 context.","authors":"UNICEF Iraq, International Federation of Medical Students Associasions (IFMSA), Ministry of Health and Environment and the Mayoralty of Baghdad","methodology":"Phone survey","sample_size":"1031","target_pop":"Healthcare workers","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"","publication_channel":"Collective Service","link":"https://docs.google.com/document/d/1vrpAM29TDF46a-GcQ4_cYrU4V2QnlPTlGZQrH16vKwM/edit","source_date":"2020-07-01T00:00:00","key_words":"","source_status":"Identified","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S054"},{"source_id":"S058","organisation":"UNICEF","title":"Assess the knowledge, attitudes and practices relevant to the prevention and containment of COVID-19.","details":"Rapid KAP using a mix of quantitative (phone-based survey) and qualitative (phone-based interviews) methods. Target: around 2,100 Lebanese and non-Lebanese across all governorates in Lebanon, gender, age groups and socioeconomic conditions.Assess the knowledge, attitudes and practices relevant to the prevention and containment of COVID-19. ","authors":"Nudge Lebanon and CRD","methodology":"Phone survey","sample_size":"2074","target_pop":"","scale":"National","quality_check":"","impact_factor":"","access_type":"","source_comment":"Any person in 8 governorates (Akkar, Baalbek-Hermel, Bekaa, Beirut, Mount Lebanon, Nabatieh, North Lebanon and South Lebanon)who was at least 18 years old, was Lebanese, Syrian or Palestinian, and had proper communication skills was eligible to participate in the survey.","publication_channel":"","link":"../../../../../:f:/t/MENARO-ME/EsLWzT4UkTpFm2KYuvH0v_IBiRwxvhboxrhwf_kxxiazKw%3Fe=9bpgqR","source_date":null,"key_words":"","source_status":"Identified","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S058"},{"source_id":"S066","organisation":"UNICEF","title":"C4D Baseline Assessment","details":"To measure the public attitudes, practices, awareness, perceptions, and knowledge on the coronavirus, COVID-19, in Palestine; and to assess community preferences for communication channels to inform targeted C4D strategies and activities, including messages, content and approaches.","authors":"UNSCO, WHO","methodology":"","sample_size":"957","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"","source_comment":"Survey: Palestinian citizen, at least 18 years of age, currently residing in the State of Palestine, and no other member of the household has filled out the survey.Qualitative Data Sample: FGD participants were adolescents (12-17 years of age, boys and girls) from the West Bank, East Jerusalem and the Gaza Strip. The final report will be available by end of November 2020","publication_channel":"","link":"","source_date":null,"key_words":"","source_status":"Identified","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S066"},{"source_id":"S070","organisation":"Ground Truth Solutions","title":"COVID-19 Insight from Syria","details":"Ground Truth Solutions (GTS) and the Humanitarian Needs Assessment Programme (HNAP) used perceptual data gathered in July to build on our first two rounds of findings from community consultations. We sought to learn whether and how information about the virus has reached the population and influenced trust, behaviour, and livelihoods. ","authors":"Ground Truth Solutions, Humanitarian Needs Assessment Programme","methodology":"Face-to-face interview","sample_size":"7731","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"7,731 focal points across all 14 governorates to tell us how the pandemic is affecting their communities. 54% of the community focal points consulted were women and 46% percent were men, with 12% aged 18–30, 64% aged 31–45, 22% aged 46–60, and 1% over 60. Respondent profiles included community leaders, local administrators, teachers, health workers, humanitarian aid workers, journalists, and religious leaders Language: Arabic, Focal point: Yasmine Colijn (yasmine@groundtruthsolutions.org)","publication_channel":"Ground Truth Solutions","link":"https://groundtruthsolutions.org/perceptions-on-a-pandemic-inside-syria/","source_date":"2020-08-01T00:00:00","key_words":"","source_status":"Identified","frequency":"","sample_type":"Purposive sample","insert_date":"2021-09-28T00:00:00","data_key":"S070"},{"source_id":"S073","organisation":"UNICEF","title":"Rapid Assessment of Knowledge, Attitudes and Practices related to COVID19 in Yemen","details":"Rapid survey on knowledge, attitudes, and practices related to the COVID-19, multiple rounds in order to monitor knowledge, attitudes and practice levels related to COVID-19 in Yemen, with focus on: COVID-19 symptoms, transmission and prevention, sources of information, risk perception, information gap of respondents, stigma due to COVID-19.","authors":"UNICEF Yemen","methodology":"Misc.","sample_size":"1312","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"Assessment was administered by partners through phone (in the south) or face to face interviews (in the north). Conducted during the first three weeks of July, 2020 in 22 governorates. 1312 respondents were interviewed for the quantitative assessment and 209 respondents for the qualitative assessment.","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/1ghpxbnjGEOGwT3pcCDPSXKwWyn_1eg4d/view?usp=sharing","source_date":"2020-09-01T00:00:00","key_words":"stigma | information | trust | knowledge | protective measures","source_status":"Identified","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S073"},{"source_id":"S074","organisation":"Kabale University","title":"Acceptance and Risk Perception of COVID-19 Vaccine in Uganda: A CrossSectional Study in Western Uganda","details":"Many countries have drawn their attention on developing Corona virus disease 2019 vaccine however there is less emphasis on whether thisvaccine could be accepted in most of these countries. This study aimed to investigate acceptance and risk perception of COVID-19 vaccine in Uganda.","authors":"I. Echoru, P. Decanar Ajambo, E. M. Bukenya","methodology":"Web-based survey","sample_size":"1067","target_pop":"","scale":"Localized","quality_check":"","impact_factor":"","access_type":"","source_comment":"A simplied snowball sampling technique was used to select 1067 respondents of 18-70 years in western Uganda using an online questionnaire fromJuly to September 2020. Vaccine acceptability and risk perception was assessed using odds ratio at 95% condence interval.","publication_channel":"Research Square","link":"https://www.researchsquare.com/article/rs-78780/v1","source_date":"2021-01-09T00:00:00","key_words":"vaccination|trust","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S074"},{"source_id":"S075","organisation":"Ground Truth Solutions","title":"Perceptions d’informateurs clés sur la COVID-19: République Centrafricaine","details":"In February 2021, Ground Truth Solutions (GTS) conducted telephone surveys with 35 key informants in six locations in the Central African Republic. The purpose of this survey is to understand the perceptions of these key members of the affected communities on: 1) information sharing, 2) compliance with barrier actions by members of their communities, 3) the socio-economic impact of COVID-19 and 4) vaccination against COVID-19. ","authors":"Ground Truth Solutions, DRC, UNICEF","methodology":"Phone survey","sample_size":"35","target_pop":"","scale":"National","quality_check":"","impact_factor":"","access_type":"Report","source_comment":"key informers playing a key role within their communities in 6 different places","publication_channel":"ReliefWeb","link":"https://reliefweb.int/report/central-african-republic/perceptions-d-informateurs-cl-s-sur-le-covid-19-r-publique-2","source_date":"2021-02-04T00:00:00","key_words":"perception|protective measures|vaccination","source_status":"Processed","frequency":"","sample_type":"Purposive sample","insert_date":"2021-09-28T00:00:00","data_key":"S075"},{"source_id":"S076","organisation":"Shiraz University of Medical Sciences","title":"Public Sphere Attitudes toward Rumor sources on COVID-19 Pandemic: Evidence from Community Perceptions in Iran","details":"In the case of the COVID-19 outbreak, misinformation seems to travel far faster than the outbreak itself. This study aimed to evaluate the factors affecting individuals' attitudes toward rumor-producing media in Iran.","authors":"M. Banakar, A. K. SadatiYazd, S. Sadoughi, L. Zarei, S. Shahabi, K. Bagheri Lankarani, S. Taghi Heydari","methodology":"Web-based survey","sample_size":"2550","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Journal","source_comment":"The survey was conducted online during 19–25 March, 2020 in Tehran, Fars, Gilan, East Azarbaijan, Sistan and Baluchestan, and Isfahan provinces, Iran. The participants were selected randomly from those who had access to the internet in these provinces. The questionnaire link was sent to the participants, and they decided to participate anonymously. The researchers had no access to the participants’ personal information. ","publication_channel":"Research Square","link":"https://doi.org/10.21203/rs.3.rs-30297/v1","source_date":"2020-06-20T00:00:00","key_words":"rumors","source_status":"Processed","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S076"},{"source_id":"S077","organisation":"University of Debrecen","title":"Acceptance Towards COVID-19 Vaccination Among the Lebanese Population: A Cross-Sectional study","details":"The emergence of the covid-19 pandemic has created major health risks to humanity as awhole, in turn, the world have been waiting for a solution to end this pandemic. This research aims tostudy the acceptance towards the covid-19 vaccine among the Lebanese population and investigate thefactors affecting the descision towards the vaccine.","authors":"M.H.D. B. A. Alhaffar, M. Alhaffar, J. Kreid, and E. Massoud","methodology":"Web-based survey","sample_size":"1157","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Journal","source_comment":"In order to obtain a clear insight about the propensity of the Lebanese population to take the vaccine, a cross-sectional study was conducted, data collected through a questionnaire based on google forms and distributed among the population via social media platforms (Instagram, whatsapp, facebook, etc). the survey consisted of different types of questions and 1157 participants of different age groups respomnded to the survey.","publication_channel":"Research Square","link":"https://doi.org/10.21203/rs.3.rs-301249/v2","source_date":"2021-03-08T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S077"},{"source_id":"S079","organisation":"The University of Jordan","title":"COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates","details":"Utility of vaccine campaigns to control coronavirus 2019 disease (COVID-19) is not merely dependent on vaccine efficacy and safety. Vaccine acceptance among the general public and healthcare workers appears to have a decisive role in the successful control of the pandemic. The aim of this review was to provide an up-to-date assessment of COVID-19 vaccination acceptance rates worldwide. A systematic search of the peer-reviewed English survey literature indexed in PubMed was done on 25 December 2020. Results from 31 peer-reviewed published studies met the inclusion criteria and formed the basis for the final COVID-19 vaccine acceptance estimates. Survey studies on COVID-19 vaccine acceptance rates were found from 33 different countries. Among adults representing the general public, the highest COVID-19 vaccine acceptance rates were found in Ecuador (97.0%), Malaysia (94.3%), Indonesia (93.3%) and China (91.3%). However, the lowest COVID-19 vaccine acceptance rates were found in Kuwait (23.6%), Jordan (28.4%), Italy (53.7), Russia (54.9%), Poland (56.3%), US (56.9%), and France (58.9%). Only eight surveys among healthcare workers (doctors and nurses) were found, with vaccine acceptance rates ranging from 27.7% in the Democratic Republic of the Congo to 78.1% in Israel. In the majority of survey studies among the general public stratified per country (29/47, 62%), the acceptance of COVID-19 vaccination showed a level of ?70%. Low rates of COVID-19 vaccine acceptance were reported in the Middle East, Russia, Africa and several European countries. This could represent a major problem in the global efforts to control the current COVID-19 pandemic. More studies are recommended to address the scope of COVID-19 vaccine hesitancy. Such studies are particularly needed in the Middle East and North Africa, Sub-Saharan Africa, Eastern Europe, Central Asia, Middle and South America. Addressing the scope of COVID-19 vaccine hesitancy in various countries is recommended as an initial step for building trust in COVID-19 vaccination efforts.","authors":"M. Sallam","methodology":"Meta-analysis","sample_size":"","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Meta survey","publication_channel":"Vaccines (MDPI)","link":"https://doi.org/10.3390/vaccines9020160","source_date":"2021-01-13T00:00:00","key_words":"vaccination","source_status":"Identified","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S079"},{"source_id":"S080","organisation":"JC School of Public Health and Primary Care","title":"Intention of nurses to accept coronavirus disease 2019 vaccination and change of intention to accept seasonal influenza vaccination during the coronavirus disease 2019 pandemic: A cross-sectional survey","details":"Maintaining health of healthcare workers with vaccination is a major component of pandemic preparedness and acceptance of vaccinations is essential to its success. This study aimed to examine impact of the coronavirus disease 2019 (COVID-19) pandemic on change of influenza vaccination acceptance and identify factors associated with acceptance of potential COVID-19 vaccination.","authors":"KailuWanga, Eliza Lai Yi Wonga, Kin Fai Hob, Annie Wai Ling Cheunga, Emily Ying Yang Chanb, Eng Kiong Yeoha, Samuel Yeung Shan Wongb","methodology":"Web-based survey","sample_size":"806","target_pop":"Healthcare workers","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"There were a total of 856 nurses who completed the online questionnaire. The response rate was 5.2% among all active members of Association of Hong Kong Nursing staff (Over 16,000 members).","publication_channel":"Vaccine: X","link":"https://doi.org/10.1016/j.vaccine.2020.09.021","source_date":"2020-05-26T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S080"},{"source_id":"S081","organisation":"JC School of Public Health and Primary Care","title":"Influenza vaccine uptake, COVID-19 vaccination intention and vaccine hesitancy among nurses (Hong Kong): A survey","details":"This study estimated nurses’ influenza vaccination behaviors and intention to receive COVID-19 vaccine when available, and examined their corresponding 5C psychological antecedents (confidence, complacency, constraints, calculation, and collective responsibility). To investigate the impact of COVID-19-related work demands, the mediation effects of work stress on the association between work demands and COVID-19 vaccination intention were also examined.","authors":"Kin On Kwok, Kin-Kit Lid, Wan In WEI, Arthur Tange, Samuel Yeung Shan Wong, Shui Shan Lee","methodology":"Web-based survey","sample_size":"1205","target_pop":"Healthcare workers","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"A cross-sectional online self-administered survey was conducted among nurses in Hong Kong. Totally, 1,660 attempts to complete the survey were recorded, of which 1,205 respondents were retained for the analyses. Excluded cases were those who had retired (n=37), are full-time nursing students (n=95), or provided incomplete responses (n=323).","publication_channel":"International Journal of Nursing Studies (IJNS)","link":"https://doi.org/10.1016/j.ijnurstu.2020.103854","source_date":"2020-09-02T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S081"},{"source_id":"S082","organisation":"Universitas Syiah Kuala","title":"Acceptance of a COVID-19 Vaccine in Southeast Asia: A Cross-Sectional Study in Indonesia","details":"Several vaccine candidates are being clinically tested in response to the 2019 coronavirus disease (COVID-19) pandemic. This study was conducted to assess the acceptance of a 50 or 95% effective COVID-19 vaccine, when it becomes available in southeast Asia, among the general population in Indonesia.","authors":"Harapan Harapan, Abram L. Wagner, Amanda Yufika, Wira Winardi, Samsul Anwar, Alex Kurniawan Gan, Abdul Malik Setiawan, Yogambigai Rajamoorthy, Hizir Sofyan, Mudatsir Mudatsir","methodology":"Web-based survey","sample_size":"1359","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Due to limitations in doing face-to-face research during the current active COVID-19 outbreak in Indonesia, we did an online cross-sectional study between March 25 and April 6, 2020. The target population was the adult population of Indonesia. The samples were recruited from seven provinces (Aceh, West Sumatra, Jambi, DKI Jakarta, Yogyakarta, and Bali) and all adults who were able to read and understand Bahasa Indonesia were considered eligible. Invitations to participate in the study, hosted by Google Forms, were distributed on the WhatsApp communication platform. This media and communication platform was chosen since 64% of the Indonesian population currently use this platform and the users are relatively varied across age groups and other sociodemographic characteristics. The participants were recruited using a simplified-snowball sampling technique where invited candidate participants were requested to pass the invitations to their WhatsApp contacts. The minimum sample size was 1,0","publication_channel":"Frontiers in Public Health","link":"https://doi.org/10.3389/fpubh.2020.00381","source_date":"2020-07-14T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S082"},{"source_id":"S083","organisation":"Galilee Medical Center","title":"Vaccine hesitancy: the next challenge in the fight against COVID-19","details":"Vaccine hesitancy remains a barrier to full population inoculation against highly infectious diseases. Coincident with the rapid developments of COVID-19 vaccines globally, concerns about the safety of such a vaccine could contribute to vaccine hesitancy. ","authors":"Amiel A. Dror, Netanel Eisenbach, Shahar Taiber, Nicole G. Morozov, Matti Mizrachi, Asaf Zigron, Samer Srouji, Eyal Sela","methodology":"Web-based survey","sample_size":"1711","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The study analyzed 1941 anonymous questionnaires completed by healthcare workers and members of the general Israeli population, regarding acceptance of a potential COVID-19 vaccine. ","publication_channel":"European Journal of Epidemiology","link":"https://link.springer.com/content/pdf/10.1007/s10654-020-00671-y.pdf","source_date":"2020-08-12T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S083"},{"source_id":"S084","organisation":"University Hospital of Saint-Etienne","title":"Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemic","details":"The world is facing the COVID-19 pandemic. The development of a vaccine is challenging. We aimed to determine the proportion of people who intend to get vaccinated against COVID-19 in France or to participate in a vaccine clinical trial.","authors":"Maëlle Detoc, Sébastien Bruel, Paul Frappe, Bernard Tardy, Elisabeth Botelho-Nevers, Amandine Gagneux-Brunon","methodology":"Web-based survey","sample_size":"3259","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"This study conducted an anonymous online survey from the 26th of March to the 20th of April 2020 among adult general population and adult patients. The survey was proposed to individuals via social networks (Facebook, Twitter), shared by e-mail, on the website of the University Hospital of Saint-Etienne (France), and in centers for COVID-19 diagnosis and in medical centers. We developed a standardized questionnaire based on a literature review. Full publication available from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498238/","publication_channel":"Vaccine: X","link":"https://doi.org/10.1016/j.vaccine.2020.09.041","source_date":"2020-07-21T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S084"},{"source_id":"S085","organisation":"University Hospital of Saint-Etienne","title":"Intention to get vaccinations against COVID-19 in French healthcare workers during the first pandemic wave: a cross-sectional survey","details":"Healthcare workers (HCWs) are at the frontline of the COVID-19 pandemic and identified as a priority target group for COVID-19 vaccines. We aimed to determine COVID-19 vaccine acceptance rate in HCWs in France.","authors":"A. Gagneux-Brunon, M. Detoc, S. Bruel, B. Tardy, O. Rozaire, P. Frappe, E. Botelho-Nevers","methodology":"Misc.","sample_size":"2047","target_pop":"Healthcare workers","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The study conducted both an anonymous online survey, and a written questionnaire from 26th March to 2nd July 2020 among the general population and HCWs. The survey was proposed to individuals via social networks (Facebook, Twitter), shared by e-mail, on the website of the University Hospital of Saint-Etienne (France), and the written questionnaire was distributed to the centre for COVID-19 diagnosis in our establishment.","publication_channel":"The Journal of Hospital Infection","link":"https://doi.org/10.1016/j.jhin.2020.11.020","source_date":"2020-11-28T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S085"},{"source_id":"S086","organisation":"Aix Marseille Université","title":"The French public's attitudes to a future COVID-19 vaccine: The politicization of a public health issue","details":"As COVID-19 spreads across the world, governments turn a hopeful eye towards research and development of a vaccine against this new disease. But it is one thing to make a vaccine available, and it is quite another to convince the public to take the shot, as the precedent of the 2009 H1N1 influenza illustrated. In this paper, we present the results of four online surveys conducted in April 2020 in representative samples of the French population 18 years of age and over (N?=?5018). These surveys were conducted during a period when the French population was on lockdown and the daily number of deaths attributed to the virus reached its peak. We found that if a vaccine against the new coronavirus became available, almost a quarter of respondents would not use it. We also found that attitudes to this vaccine were correlated significantly with political partisanship and engagement with the political system. Attitudes towards this future vaccine did not follow the traditional mapping of political attitudes along a Left-Right axis. The rift seems to be between people who feel close to governing parties (Centre, Left and Right) on the one hand, and, on the other, people who feel close to Far-Left and Far-Right parties as well as people who do not feel close to any party. We draw on the French sociological literature on ordinary attitudes to politics to discuss our results as well as the cultural pathways via which political beliefs can affect perceptions of vaccines during the COVID-19 pandemic.","authors":"Jeremy K. Ward, Caroline Alleaume, Patrick Peretti-Watel","methodology":"Web-based survey","sample_size":"5018","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"During each week of April 2020, we conducted a cross-sectional online survey among a sample representative of the French population aged 18 and over (N?=?1006 from 7th to 9th April, N?=?1005 from 15th to 17th, N?=?1004 from 24th to 26th, N?=?2003 from 30th April to 4th May, global sample N?=?5018). For each survey, participants were randomly selected from an online research panel of more than 750,000 nationally representative households of the French general population developed and maintained by IFOP (Paris, France), a survey research firm (https://www.ifop.com/). Random sampling was stratified to match French official census statistics for gender, age, occupation, size of the population in the area of residence and region. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537647/","publication_channel":"Social Science & Medicine","link":"https://doi.org/10.1016/j.socscimed.2020.113414","source_date":"2020-11-01T00:00:00","key_words":"vaccination|ideology|partisanship|politics","source_status":"Processed","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S086"},{"source_id":"S087","organisation":"Erasmus University Rotterdam","title":"Once we have it, will we use it? A European survey on willingness to be vaccinated against COVID-19","details":"This study provides some first insights into this willingness to be vaccinated in seven european countries (UK, the Netherlands, France, Denmark, Germany, Italy, Portugal) and provide a focus on Lombardy region.","authors":"Sebastian Neumann-Böhme, Nirosha Elsem Varghese, Iryna Sabat, Pedro Pita Barros, Werner Brouwer, Job van Exel, Jonas Schreyögg, Tom Stargardt ","methodology":"Web-based survey","sample_size":"7662","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The sample consisted of about 1.000 respondents per country, and an additional 500 from the highly affected region Lombardy, since we expected that results might differ from the rest of Italy. In this first wave of the data collection, respondents were inquired about worries and beliefs about COVID-19, as well as attitudes about vaccination and their willingness to be vaccinated between 2 and 15 April 2020 [4]. In this editorial, we provide some first insights into the findings, to stimulate further research and policy in this area.","publication_channel":"The European Journal of Health Economics","link":"https://link.springer.com/article/10.1007%2Fs10198-020-01208-6","source_date":"2020-06-26T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S087"},{"source_id":"S088","organisation":"University of Kamina","title":"Acceptability of Vaccination Against COVID-19 Among Healthcare Workers in the Democratic Republic of the Congo","details":"This study aims to estimate the acceptability of a future vaccine against COVID-19 and associated factors if offered in Congolese health-care workers (HCWs), since they have the highest direct exposure to the disease.","authors":"Kabamba Nzaji M, Kabamba Ngombe L, Ngoie Mwamba G, Banza Ndala DB, Mbidi Miema J, Luhata Lungoyo C, Lora Mwimba B, Cikomola Mwana Bene A, Mukamba Musenga E","methodology":"Face-to-face interview","sample_size":"613","target_pop":"Healthcare workers","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"An analytical cross-sectional study was conducted in 23 Congolese referral hospitals, including three university hospitals, located in three towns from 20 March through 30 April 2020: seven in Lubumbashi (Haut-Katanga province), nine in Mbuji-Mayi (Kasai Oriental province) and seven in Kamina (Haut-Lomami province). HCWs (doctors, nurses, midwives, and laboratory technicians) aged 18 years or older who accepted to participate, and working in referral hospitals located in above-mentioned towns were eligible for this study. Younger (aged less than 18 years) HCWs and those who were absent on the day of the survey were excluded.","publication_channel":"Pragmatic and Observational Research","link":"https://doi.org/10.2147/POR.S271096","source_date":"2020-07-28T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S088"},{"source_id":"S089","organisation":"Texas Tech University","title":"The demand for a COVID-19 vaccine in Ecuador","details":"This study aimed to evaluate the demand for a COVID-19 vaccine in Ecuador by estimating individuals’ willingness to pay (WTP) for the vaccine, and by assessing the effect of vaccine attributes (duration of protection and efficacy) and individuals’ characteristics on this valuation. The sample used (N = 1,050) was obtained through an online survey conducted from April 2 to April 7, 2020. Two levels of vaccine efficacy (70% and 98%) and two levels of vaccine duration of protection (1 and 20 years) were considered. The willingness to pay estimates were obtained using a double-bounded dichotomous-choice contingent valuation format. Survey results show that a very large proportion of individuals (at least 97%) were willing to accept a COVID-19 vaccine, and at least 85% of individuals were willing to pay a positive amount for that vaccine.","authors":"Oscar Sarasty, Carlos E. Carpio, Darren Hudson, Patricia A. Guerrero-Ocho, Ivan Borj","methodology":"Web-based survey","sample_size":"1050","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"This study conducted data collection via an online survey of a national sample of 1,050 households in Ecuador from April 2 to April 7, 2020, generating 972 complete observations for the analyses of the WTP data. Some additional observations were deleted for regression analysis since some socio-demographic information was missing (51 observations). The target respondents were all Ecuadorean heads of household 18 years and older. ","publication_channel":"Vaccine: X","link":"https://doi.org/10.1016/j.vaccine.2020.11.013","source_date":"2020-12-03T00:00:00","key_words":"vaccination|knowledge|perception|impact","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S089"},{"source_id":"S090","organisation":"University of Malaya","title":"The use of the health belief model to assess predictors of intent to receive the COVID-19 vaccine and willingness to pay","details":"The development of a vaccine against SARS-CoV-2 infection is on the way. To prepare for public availability, the acceptability of a hypothetical COVID-19 vaccine and willingness to pay (WTP) were assessed to provide insights into future demand forecasts and pricing considerations.","authors":"Li Ping Wong, Haridah Alias, Pooi-Fong Wong, Hai Yen Lee, Sazaly AbuBakar","methodology":"Web-based survey","sample_size":"1159","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The researchers used the social network platforms of Facebook, Instagram, and WhatsApp to disseminate and advertise the survey link to the public. The inclusion criteria were that the respondents were Malaysian residents who were between 18 and 70 years of age. Respondents who completed the survey received a note encouraging them to disseminate the survey link to all their contacts. ","publication_channel":"Human Vaccines & Immunotherapeutics ","link":"https://doi.org/10.1080/21645515.2020.1790279","source_date":"2020-04-26T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S090"},{"source_id":"S091","organisation":"University of Massachusetts Medical School","title":"Attitudes Toward a Potential SARS-CoV-2 Vaccine","details":"This study assess intent to be vaccinated against COVID-19 among a representative sample of adults in the United States and identify predictors of and reasons for vaccine hesitancy.","authors":"Kimberly A. Fisher, Sarah J. Bloomstone, Jeremy Walder, Sybil Crawford, Hassan Fouayzi, Kathleen M. Mazor","methodology":"Misc.","sample_size":"997","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Approximately 1000 adults drawn from the AmeriSpeak probability-based research panel, covering approximately 97% of the U.S. household population. Panel members receive an initial invitation via e-mail, SMS, or phone, followed by 1 or 2 reminders to nonresponsive members. Households without internet access are included and complete the survey via smartphone or telephone interview. Intent to be vaccinated against COVID-19 was measured with the question, “When a vaccine for the coronavirus becomes available, will you get vaccinated?” Response options were “yes,” “no,” and “not sure.” Participants who responded “no” or “not sure” were asked to provide a reason.","publication_channel":"Annals of Internal Medicine","link":"https://doi.org/10.7326/M20-3569","source_date":"2020-12-15T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S091"},{"source_id":"S092","organisation":"University of British Columbia","title":"A Proactive Approach for Managing COVID-19: The Importance of Understanding the Motivational Roots of Vaccination Hesitancy for SARS-CoV2","details":"The purpose of this study was to assess a population-representative sample of adults from the United States and Canada in order to identify (1) the prevalence of vaccination hesitancy for a SARS-CoV2 vaccine when one does become available, (2) the motivational roots of this hesitancy, and (3) the most promising incentives for improving the likelihood of vaccination uptake when a vaccine does become available.","authors":"Steven Taylor, Caeleigh A. Landry, Michelle M. Paluszek, Rosalind Groenewoud, Geoffrey S. Rachor, Gordon J. G. Asmundson","methodology":"Web-based survey","sample_size":"3674","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Data were collected from May 6–19, 2020, from 3,674 adults recruited from communities in the United States (n = 1,772) and Canada (n = 1,902) using an internet-based self-report survey delivered in English by Qualtrics, which is a commercial survey sampling and administration company. Qualtrics maintains a pool of potential participants who have agreed to be contacted in order to respond to surveys. For the present study, Qualtrics selected and contacted participants to meet sampling quotas based on age, gender, ethnicity, socioeconomic status, and geographic region within each country to obtain a representative sample. Filters were used to eliminate data from careless or incomplete responses. Respondents received credit points for participation, similar to points in a credit card rewards program, which could be converted into currency. For the present study, respondents received credit points equivalent to US$7.00 for participating in the online study. All respondents provided written","publication_channel":"Frontiers in Public Health","link":"https://doi.org/10.3389/fpsyg.2020.575950","source_date":"2020-10-19T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S092"},{"source_id":"S093","organisation":"The Ohio State University","title":"Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated?","details":"This study examined acceptability of a COVID-19 vaccine among a national sample of adults in the US","authors":"Paul L.Reiter, Michael L. Pennell, Mira L. Katz","methodology":"Web-based survey","sample_size":"2066","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"We utilized a convenience sample from this online panel for this study. Panel members who were potentially eligible received an email invitation from SSRS to participate. Panel members who were interested in the study proceeded via weblink to a brief online screener survey that collected demographic information to determine study eligibility (i.e., data on age and US residence determined eligibility status). Panel members who were confirmed eligible then provided informed consent prior to completing their online study survey. A total of 2,006 adults from all 50 states (plus the District of Columbia) participated in our study and completed a survey. The mean time of survey completion was about 23 min, and participants received a standard incentive from SSRS for completing the survey. (e.g., a $5 gift card). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440153/","publication_channel":"Vaccine: X","link":"https://doi.org/10.1016/j.vaccine.2020.08.043","source_date":"2020-09-29T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S093"},{"source_id":"S094","organisation":"Yale Institute for Global Health","title":"Determinants of COVID-19 vaccine acceptance in the US","details":"The COVID-19 pandemic continues to adversely affect the U.S., which leads globally in total cases and deaths. As COVID-19 vaccines are under development, public health officials and policymakers need to create strategic vaccine-acceptance messaging to effectively control the pandemic and prevent thousands of additional deaths.","authors":"Amyn A. Malik, SarahAnn M. McFadden, Jad Elharake, Saad B. Omer","methodology":"Web-based survey","sample_size":"672","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Data were collected using an electronic questionnaire in early May 2020. Participants completed a questionnaire on CloudResearch (online survey platform that allows for representative surveying). The goal of our sampling was to be representative of the U.S. general population based on age, gender, education, race and ethnicity. Participants were eligible if they were 18 years of age or older, could read English, and had a CloudResearch account with access to the internet via computer or smart phone. Assuming the adult U.S. population to be 260,000,000 with a vaccine acceptance of 50% and margin of error of 4% (95%CI: 46% - 54%), we calculated a sample size of 600 individuals.","publication_channel":"EClinicalMedecine","link":"https://doi.org/10.1016/j.eclinm.2020.100495","source_date":"2020-08-12T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S094"},{"source_id":"S095","organisation":"Università Cattolica del Sacro Cuore","title":"‘Vaccine hesitancy’ among university students in Italy during the COVID-19 pandemic","details":"The study conducted a cross-sectional study on a convenience sample of Italian university students aimed at: (1) exploring their attitudes towards a future vaccine to prevent COVID-19 and; (2) evaluating the impact of the university curricula (healthcare vs. non-healthcare curricula) on the intention to vaccinate.","authors":"Serena Barello, Tiziana Nania, Federica Dellafiore, Guendalina Graffigna, Rosario Caruso","methodology":"Web-based survey","sample_size":"735","target_pop":"Students","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Of the 1152 contacted, 934 students responded (response rate?=?81%) to the online questionnaire sent through the participating universities’ mailing lists: 551 students (58.9%) attended healthcare curricula (i.e., medicine, nursing) and 383 students (41.1%) attended non-healthcare curricula (i.e. economics, law, engineering, physics, math, human sciences). Females were the majority (79.6%); mean age was 23.6 years (standard deviation?=?4.9). The majority of the respondents who indicated their provenience (n?=?664) lived in one of the most hit Italian regions - Lombardy - (n?=?397; 59.8%), followed by respondents from Lazio (n?=?63; 9.5%).","publication_channel":"European Journal of Epidemiology","link":"https://doi.org/10.1007/s10654-020-00670-z","source_date":"2020-08-06T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S095"},{"source_id":"S096","organisation":"London School of Hygiene & Tropical Medicine","title":"Parents’ and guardians’ views on the acceptability of a future COVID-19 vaccine: A multi-methods study in England","details":"The availability of a COVID-19 vaccine has been heralded as key to controlling the COVID-19 pandemic. COVID-19 vaccination programme success will rely on public willingness to be vaccinated.","authors":"Sadie Bell, Richard Clarke, Sandra Mounier-Jack, Jemma L. Walker Pauline Paterson","methodology":"Web-based survey","sample_size":"1252","target_pop":"Parents","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Survey recruitment took place between 19th April and 11th May 2020. Eligible participants were required to be (1) a parent or guardian of a child (or children) aged 18 months or under, (2) a resident of England, and (3) aged 16 + years. ","publication_channel":"Vaccine: X","link":"https://doi.org/10.1016/j.vaccine.2020.10.027","source_date":"2020-11-17T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S096"},{"source_id":"S097","organisation":"Keele University","title":"COVID-19 vaccination intention in the UK: results from the COVID-19 vaccination acceptability study (CoVAccS), a nationally representative cross-sectional survey","details":"The aim of this study was to investigate associations between vaccination intention and theoretically grounded, contextual and sociodemographic factors in a demographically representative sample of the UK adult population","authors":" Susan M. Sherman, Louise E. Smith, Julius Sim, Richard Amlôt, Megan Cutts, Hannah Dasch, G James Rubin, Nick Sevdalis","methodology":"Web-based survey","sample_size":"1500","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Participants (n = 1,500) were recruited through Prolific’s online research panel and were eligible for the study if they were aged 18 years or over and lived in the UK (n = 38,000+ eligible participants). Quota sampling was used, based on age, sex, and ethnicity, to ensure that the sample was broadly representative of the UK general population. Of 1,532 people who began the survey, 1,504 completed it (98% completion rate). Four participants were not included in the sample as they did not meet quality control checks. Participants were paid £2 for a completed survey.","publication_channel":"Human Vaccines & Immunotherapeutics","link":"https://doi.org/10.1080/21645515.2020.1846397","source_date":"2020-11-26T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S097"},{"source_id":"S098","organisation":"Longhua District Center for Disease Control and Prevention","title":"Parental Acceptability of COVID-19 Vaccination for Children Under the Age of 18 Years: Cross-Sectional Online Survey","details":"The goal of this study was to investigate parental acceptability of free COVID-19 vaccination for children under the age of 18 years in China.","authors":"Ke Chun Zhang, Yuan Fang, He Cao, Hongbiao Chen, Tian Hu, Ya Qi Chen, Xiaofeng Zhou, Zixin Wang","methodology":"Web-based survey","sample_size":"1052","target_pop":"Parents","scale":"Localized","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"This is a secondary analysis of a cross-sectional, closed online survey among 2053 factory workers in Shenzhen, China, implemented from September 1 to 7, 2020. Participants of the online survey were full-time employees aged 18 years or over who had resumed work in factories in Shenzhen. Factory workers in Shenzhen are required to receive physical examinations once a year. Eligible workers attending six designated physical examination sites were invited to complete an online survey. This study was based on a subsample of those who had at least one child under the age of 18 years (N=1052).","publication_channel":"Journal of Medical Internet Research (JMIR)","link":"https://doi.org/10.2196/24827","source_date":"2020-12-30T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S098"},{"source_id":"S099","organisation":"Mater Dei Hospital","title":"Vaccine hesitancy in Maltese family physicians and their trainees vis-à-vis influenza and novel COVID-19 vaccination","details":"An effective vaccine may help us to exit the COVID-19 pandemic. General Practitioners/Family Doctors (GPs/FDs) play a vital role in public vaccination in most countries and they also serve as role models. However, they may not always follow national vaccination policies. This study was carried out in order to ascertain the degree of vaccine hesitancy of GPs and GP trainees in Malta vis-à-vis influenza vaccination and a putative novel COVID-19 vaccine.","authors":"Victor Grech, Jason Bonnici, Dorothy Zammit","methodology":"Web-based survey","sample_size":"123","target_pop":"Healthcare workers","scale":"National","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"Withdraw at the request of the authors","publication_channel":"Early Human Development","link":"https://doi.org/10.1016/j.earlhumdev.2020.105259","source_date":"2020-11-12T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S099"},{"source_id":"S100","organisation":"Università degli Studi di Milano","title":"Attitudes towards influenza vaccine and a potential COVID-19 vaccine in Italy and differences across occupational groups, September 2020","details":"This study aimed at describing the attitudes towards influenza vaccination and a potential COVID-19 vaccine in Italy.","authors":"Carlo La Vecchia, Eva Negri, Gianfranco Alicandro, Vilma Scarpino","methodology":"Web-based survey","sample_size":"1055","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The present survey was conducted on September 16-28, 2020, and based on a sample of 1055 individuals (546 women, 509 men), representative of the general Italian population aged 15-85 in terms of sex, age, geographic area and socio-eco-nomic status. Data were collected using computer assisted web interviews (CAWI).","publication_channel":"Mattioli","link":"https://doi.org/10.23749/mdl.v111i6.10813","source_date":"2020-11-17T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S100"},{"source_id":"S101","organisation":"Mater Dei Hospital","title":"Vaccine hesitancy in the University of Malta Faculties of Health Sciences, Dentistry and Medicine vis-à-vis influenza and novel COVID-19 vaccination","details":"COVID-19 continues unabated and vaccine hesitancy is a chronic public health threat that may undermine efforts to achieve herd immunity for this pandemic by vaccination. A questionnaire was carried out in the University of Malta Faculties of Health Sciences, Dentistry and Medicine to ascertain degree of vaccine hesitancy vis-à-vis influenza and COVID-19 vaccination.","authors":"Victor Grech, Charmaine Gauci","methodology":"Web-based survey","sample_size":"852","target_pop":"","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"Withdraw at the request of the authors","publication_channel":"Early Human Development","link":"https://doi.org/10.1016/j.earlhumdev.2020.105258","source_date":"2020-11-12T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S101"},{"source_id":"S102","organisation":"Saudi Electronic University","title":"Determinants of COVID-19 Vaccine Acceptance in Saudi Arabia: A Web-Based National Survey","details":"The aim of this study was to assess the prevalence of the acceptance of COVID-19 vaccine and their determinants among people in Saudi Arabia.","authors":"Mohammed Al-Mohaithef, Bijaya Kumar Padhi","methodology":"Web-based survey","sample_size":"992","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"A web-based, cross-sectional study was conducted using snowball sampling\nstrategy under a highly restricted environment. A bilingual, self-administered anonymous\nquestionnaire was designed and sent to the study participants through social media plat-forms and email. Study participants were recruited across the country, including the four major cities (Riyadh, Dammam, Jeddah, and Abha) in Saudi Arabia. Key determinants that predict vaccine acceptance among respondents were modelled using logistic regression analysis. Of the 1000 survey invitees, 992 responded to the survey.","publication_channel":"Journal of Multidisciplinary Healthcare","link":"https://doi.org/10.2147/JMDH.S276771","source_date":"2020-11-20T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S102"},{"source_id":"S103","organisation":"Ipsos","title":"Global attitudes on a COVID 19 vaccine - Jan21","details":"This study conducted in partnership with the World Economic Forum in 15 countries points to a general uptick in COVID-19 vaccine intent across the world, compared to six weeks ago. The global survey of adults under the age of 75, conducted on January 28-31, 2021, ","authors":"Ipsos, WEF","methodology":"Web-based survey","sample_size":"15000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Online samples in Brazil, China, Russia, Mexico, and South Africa tend to be more urban, educated, and/or affluent than the general population","publication_channel":"Ipsos","link":"https://www.ipsos.com/en/global-attitudes-covid-19-vaccine-january-2021","source_date":"2021-02-09T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S103"},{"source_id":"S104","organisation":"UNICEF","title":"Knowledge about COVID-19 vaccine in Honduras","details":"U-Report is being used to collect data from young people and community members on COVID-19 vaccine knowledge and efficacy perception in honduras. ","authors":"U-Report Honduras","methodology":"Texting survey","sample_size":"1432","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"U-Report Honduras","link":"https://honduras.ureport.in/opinion/1996/","source_date":"2020-10-05T00:00:00","key_words":"vaccination|knowledge","source_status":"Identified","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S104"},{"source_id":"S105","organisation":"UNICEF","title":"Risk Communication and Community Engagement Survey for COVID-19 in Pakistan","details":"This study conducted by UNICEF in partnership with Viamo aimed to understand behaviours, practices and coping strategies during COVID-19 among Pakistanese population.","authors":"UNICEF Pakistan, Viamo","methodology":"Misc.","sample_size":"3125","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Study conducting through 3 waves from august to october 2020. Nationally representative, stratified random sampling; 3,125 individual respondents (32% urban, 68% rural, 71% male, 29% female) using different channel (IVR, SMS, Internet) according location and type of device. (note: sampling presents a limitation with high participation of male).","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/1Exw_4Qe9AVnhIJWnp40mxnqrre7Qe0EF/view?usp=sharing","source_date":"2020-10-01T00:00:00","key_words":"Susceptibility|Information|Knowledge|Prevention measures","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S105"},{"source_id":"S106","organisation":"Al Ain University","title":"Survey data for COVID-19 vaccine preference analysis in the United Arab Emirates","details":"In response to the call for interdisciplinary research on the potential effects of the coronavirus pandemic [1], this article presents a novel data set on individuals’ COVID-19 vaccine preferences in the United Arab Emirates (UAE). The menu of our stated preference survey questionnaire is framed based on the World Health Organization's (WHO) SAGE working group on immunization developed matrix of vaccine determinants [2], which was itself informed by a systematic review of peer reviewed and grey literature, and by the expertise of the working group. Our survey was designed in a bilingual (Arabic and English) format, using Google Forms platform and delivered to respondents aged 18 years and older using the snowball sampling method between July 4th and August 4th 2020, gathering a total of 1109 responses. Study participants were recruited across all seven emirates of the UAE (see Fig. 1). As presented in the conceptual framework (see Fig. 2), the data set comprises (i) respondents socio-economic and demographic information, (ii) respondents willingness to spend time, and money to get the Covid-19 vaccine, and (iii) the vaccine determinants identified by the WHO's SAGE working group on immunization.","authors":"Riham Muqattash, Ibrahim Niankara, Rachidatou I.Traoret","methodology":"Web-based survey","sample_size":"1109","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The survey was built using Google Forms platform and delivered to respondents using a snowball sampling strategy. The questionnaire was developed in bilingual (Arabic and English) format, and self-administered on a voluntary basis to participants across all seven emirates of the UAE (i.e. Abu Dhabi, Dubai, Sharjah, Ras Al Khaimah, Ajman, Fujairah, Umm al Quwain). In implementing our snowball sampling strategy, we (each co-investigator in the project) initially shared the web-based survey link through email on July 4th 2020, to our primary contacts (aged 18 and above) living in the UAE, followed by a social media dispatch predominantly through WhatsApp and Microsoft Teams (MsTeams) channels.","publication_channel":"Data in Brief","link":"https://doi.org/10.1016/j.dib.2020.106446","source_date":"2020-12-01T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S106"},{"source_id":"S107","organisation":"Jerash Private University","title":"A High Rate of COVID-19 Vaccine Hesitancy Among Arabs: Results of a Large-scale Survey","details":"In this study, we present the results of the first large-scale multinational study (36,220 participants) that measures vaccine hesitancy among Arab-speaking subjects. Our analysis shows a significant rate of vaccine hesitancy among Arabs in and outside the Arab region (83% and 81%, respectively). The most cited reasons for hesitancy are concerns about side effects and distrust in healthcare policies, vaccine expedited production, published studies and vaccine producing companies. We also found that female participants, participants 30-59 year-old, those with no chronic diseases, those with lower-level of academic education, and those who do not know the type of vaccine authorized in their countries are more hesitant to receive COVID-19 vaccination. On the other hand, participants who regularly receive the influenza vaccine, health care workers, and those from countries with higher rates of COVID-19 infections showed more vaccination willingness. Interactive representation of our results is posted on our project website at https://mainapp.shinyapps.io/CVHAA.","authors":"Eyad A. Qunaibi, Mohamed Helmy, Iman Basheti, Iyad Sultan","methodology":"Web-based survey","sample_size":"36220","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The online survey raw data were downloaded on 29 January 2021; there were 38,485 participants who started filling the survey of whom 36,958 consented and proceeded with the survey. A total of 738 participants reported receiving COVID-19 vaccination before filling the survey and were excluded from further analysis in this report bringing the total respondents who qualify for analysis to 36,220. The participants cover all the 23 Arab countries and territories (n = 30,200, 83.4%) and Arabs who live in 122 other countries (n = 6020, 16.6%). Participants from countries out of the Arab region were clustered into four groups: Europe (N = 3130, 52%), North America (n = 748, 12.4%), Turkey (n = 1630, 27.1%), and others (n = 512, 8.5%).","publication_channel":"eLife Sciences","link":"https://doi.org/10.1101/2021.03.09.21252764","source_date":"2021-03-10T00:00:00","key_words":"vaccination|hesitancy","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S107"},{"source_id":"S108","organisation":"Ground Truth Solutions","title":"COVID-19: Compliance drops as cases rise, August 2020 - Round 3","details":"Ground Truth Solutions (GTS) and the Humanitarian Needs Assessment Programme (HNAP) used perceptual data gathered in July to build on our first two rounds of findings from community consultations. We sought to learn whether and how information about the virus has reached the population and influenced trust, behaviour, and livelihoods.We asked 7,731 focal points across all 14 governorates to tell us how the pandemic is affecting their communities.","authors":"GTS and HNAP","methodology":"Face-to-face interview","sample_size":"7725","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"The focal points who participated in these interviews were selected from the HNAP network of 24,000 community focal points. In every location (admin level 4) where HNAP interviewed several focal points for their monthly mobility and needs tracking, one randomly selected respondent was asked the GTS COVID-19 perception questions. This process allowed for geographic coverage across all of Syria. In this round of data collection, 54% of the community focal points consulted were women and 46% percent were men, with 12% aged 18–30, 64% aged 31–45, 22% aged 46–60, and 1% over 60. Respondent profiles included community leaders, local administrators, teachers, health workers, humanitarian aid workers, journalists, and religious leaders. ","publication_channel":"ReliefWeb","link":"https://reliefweb.int/report/syrian-arab-republic/covid-19-compliance-drops-cases-rise-august-2020-round-3","source_date":"2020-08-01T00:00:00","key_words":"information|trust|behaviour|economic impact","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S108"},{"source_id":"S109","organisation":"Ground Truth Solutions","title":"Nearing a year of restrictions, Iraq’s vulnerable are running out of options - and trust","details":"To find out how restrictions were affecting access to services and how people felt about the response, Ground Truth Solutions (GTS) partnered with the Iraq Information Centre (IIC) to conduct a third round of interviews with 545 returnees, refugees, and IDPs across Anbar, Dahuk, Erbil, Ninewa, Salah al-Din, and Sulaymaniyah in October and November 2020.","authors":"Ground Truth Solutions, UNOPS","methodology":"Misc.","sample_size":"545","target_pop":"Refugees, IDPs, and Returnees","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"The sampling strategy was designed using figures (as of 9 April 2020) from the IOM DisplacementTracking Matrix (DTM) returnee and IDP master lists, as well as UNHCR refugee statistics. Logistical constraints did not allow for the random approaches commonly used in phone surveys – such as random digit dialling – particularly given the focus on IDPs, refugees, and returnees, who constitute a small proportion of the overall Iraqi population. Nonetheless, the sample includes different population types across each location. Respondents were selected from the IIC database of recent callers and chosen at random by IIC Information Management (IM) within the parameters set by the sample, aiming for a 50:50 gender split. To generate a more reliable sample, we used oversampling in regions and among population types with small numbers of people in the relevant population. All participants were IDPs, returnees, or refugees over the age of 18. Of the total number of respondents, 49% were female and ","publication_channel":"ReliefWeb","link":"https://reliefweb.int/report/iraq/nearing-year-restrictions-iraq-s-vulnerable-are-running-out-options-and-trust","source_date":"2021-05-02T00:00:00","key_words":"impact|health service satisfaction|refugees","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S109"},{"source_id":"S110","organisation":"IFRC","title":"Knowledge, Attitudes and Practices (KAP) Assessment on COVID-19 (Round 2) - Community Based Migration Programme, January 2021","details":"The goal of this KAP assessment is to understand communities’ knowledge, attitudes, and practices, along with their information needs on COVID-19, and inform risk communication, behaviour change and community engagement activities. This second round of the assessment also aims to share a comparison of the key results with that of the first KAP data to give an understanding about how the situation has changed or improved over time.Key objectives are to understand communities’:• knowledge about COVID-19• attitudes and feelings towards COVID-19, as well as their perceptions, beliefs, or any preconceived ideas• practices and what people do to protect themselves and their families from the disease• information needs and their preferred channels through which to receive information and share feedback with TRCS","authors":"IFRC Turkish Red Crescent","methodology":"Phone survey","sample_size":"3840","target_pop":"Refugees, IDPs, and Returnees","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"This KAP assessment was conducted using the same methodology as before - via phone interviews and online consultations/focus group discussions (FGDs) with refugees and local people in 16 TRCS Community Centre locations. Comprising both qualitative and quantitative data, a total of 3,840 individuals had been interviewed over the phone in 16 Community Centre locations, while a further 321 refugees and local people have participated in 32 FGDs. Of the 321 people involved in FGDs, 157 were men, and 164 women, with 160 people being refugees and 161 from the local host community. The survey questionnaire from the first round KAP assessment was used for the phone interviews, with a few new options added to specific questions, and the same FGD questions were used for community consultations. Respondents from FDG were used for qualitative date and triangulation and weren't included in the percentage calculation.","publication_channel":"ReliefWeb","link":"https://reliefweb.int/report/turkey/knowledge-attitudes-and-practices-kap-assessment-covid-19-round-2-community-based","source_date":"2021-01-31T00:00:00","key_words":"information|knowledge|practice|refugees","source_status":"Processed","frequency":"","sample_type":"Misc.","insert_date":"2021-09-28T00:00:00","data_key":"S110"},{"source_id":"S111","organisation":"IFRC","title":"COVID-19: Community Insights from the Asia Pacific Region - Indonesia, Malaysia, Myanmar, and Pakistan","details":"Communities are key in stopping the spread of COVID-19. Only by understanding how people communicate, what they know, their needs, and gaps in understanding about COVID-19, can humanitarian organisations achieve a community-driven response that will reduce the spread of the virus.","authors":"IFRC, OCHA, WHO","methodology":"Misc.","sample_size":"4993","target_pop":"","scale":"Multi-country","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"A random sampling approach was used with the assumptions of a higher number of participants with less margin of error. Convenience sampling was the only possible option due to movement restrictions. Therefore, these findings cannot be considered to be statistically representative of the perceptions of the population but rather should be seen as an indication that should be triangulated with further research. In total, 4,993 respondents (52.04 % male, 47.28.9% female, and 0.67% not disclosed) participated in Indonesia, Pakistan, Myanmar, and Malaysia. Limitations observed in the sample size in indonesia.","publication_channel":"ReliefWeb","link":"https://reliefweb.int/report/indonesia/covid-19-community-insights-asia-pacific-region-indonesia-malaysia-myanmar-and","source_date":"2020-09-01T00:00:00","key_words":"knowledge|perception|practice","source_status":"Identified","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S111"},{"source_id":"S112","organisation":"University of Maryland","title":"COVID-19 World Survey Data API","details":"This is an API for accessing the daily COVID-19 World Symptoms Survey data. Data calculated based on the Facebook global symptoms survey data. Using the survey data, we estimate the percentage of people in a given country or region. ","authors":"Junchuan Fan, Yao Li, Kathleen Stewart, Anil R. Kommareddy, Adrianne Bradford, Samantha Chiu, Frauke Kreuter, Neta Barkay, Alyssa Bilinski, Brian Kim, Roee Eliat, Tal Galili, Daniel Haimovich, Sarah LaRocca, Stanley Presser, Katherine Morris, Joshua A Salomon, Elizabeth A. Stuart, Ryan Tibshirani, Tali Alterman Barash, Curtiss Cobb, Andres Garcia, Andi Gros, Ahmed Isa, Alex Kaess, Faisal Karim, Ofir Eretz Kedosha, Shelly Matskel, Roee Melamed, Amey Patankar, Irit Rutenberg, Tal Salmona, David Vannette","methodology":"Misc.","sample_size":"","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Dataset","source_comment":"","publication_channel":"University of Maryland","link":"https://covidmap.umd.edu/api.html","source_date":"2020-06-01T00:00:00","key_words":"vaccination|protection measures|trust","source_status":"Processed","frequency":"monthly","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S112"},{"source_id":"S114","organisation":"ACLED","title":"COVID-19 Disorder Tracker","details":"The COVID-19 Disorder Tracker (CDT) provides special coverage of the pandemic’s impact on political violence and protest trends around the world, monitoring changes in demonstration activity, state repression, mob attacks, overall rates of armed conflict, and more.","authors":"","methodology":"","sample_size":"","target_pop":"","scale":"Global","quality_check":"","impact_factor":"","access_type":"Dataset","source_comment":"","publication_channel":"ACLED","link":"https://acleddata.com/analysis/covid-19-disorder-tracker/","source_date":"2020-03-01T00:00:00","key_words":"disorder","source_status":"Processed","frequency":"monthly","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S114"},{"source_id":"S116","organisation":"Tehran University of Medical Sciences","title":"Knowledge, Attitudes, and Practices Among the General Population During COVID-19 Outbreak in Iran: A National Cross-Sectional Online Survey","details":"Emerged in December 2019, coronavirus disease 2019 (COVID-19) is one of the largest pandemics ever. During the early phase, little was known about public knowledge, attitudes, and practices (KAP) relating to coronavirus disease. This study was designed to determine KAP of Iranians toward COVID-19.","authors":" Edris Kakemam, Djavad Ghoddoosi-Nejad, Zahra Chegini, Khalil Momeni, Hamid Salehiniya, Soheil Hassanipour, Hosein Ameri, Morteza Arab-Zozani","methodology":"Web-based survey","sample_size":"1480","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"A cross-sectional online survey was carried out in Iran from February 25 to April 25 using a self-administered questionnaire on 1,480 people. COVID-19-related KAP questions were adapted from other internationally validated questionnaires specific for infectious diseases","publication_channel":"Frontiers in Public Health","link":"https://doi.org/10.3389/fpubh.2020.585302","source_date":"2020-12-10T00:00:00","key_words":"vaccine|knowledge|practice|information|stigma","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S116"},{"source_id":"S117","organisation":"University Hospital Complex “Le Bon Samaritain”","title":"Knowledge, Attitudes and Practices Regarding COVID-19 in N’Djamena, Chad","details":"In this study, we explore the knowledge, attitudes and practices (KAPs) regarding COVID-19 within the Chadian population, to determine whether there are more vulnerable groups of the population that require greater attention from authorities. This study was designed as a cross-sectional survey conducted in N'Djamena, Chad, using a convenience sampling technique that included 2269 participants. The study was conducted in May and August 2020.","authors":"Guy Rodrigue Takoudjou Dzomo, Margarita Bernales, Rodrigo López, Yves Djofang Kamga, Jean Pierre Kila Roskem, Francis Deassal Mondjimbaye, Joseph Nanbolngar, Richard Modode, Roger Rongar, Faro Diba, Madjadoum Toglengar, Jean Pierre Ongolo, Carlos Gómez-Vírseda ","methodology":"Face-to-face interview","sample_size":"2269","target_pop":"","scale":"Localized","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"This study was designed as a cross-sectional survey using a convenience sampling technique. A structured questionnaire and the consent form given to respondents were designed by a group of health professionals at the University Hospital Complex “Le Bon Samaritain”, N'Djamena. The study population included individuals from N'Djamena who understood French, were 18 or older, and could provide informed consent. Participation in this study was anonymous, consensual and voluntary, for which informed consent was provided by all prospective respondents. 2269 participants accepted and completed the survey. ","publication_channel":"Journal of Community Health","link":"https://link.springer.com/article/10.1007/s10900-021-00963-8","source_date":"2021-01-23T00:00:00","key_words":"","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S117"},{"source_id":"S118","organisation":"World Bank","title":"COVID-19 High Frequency Phone Survey Brief - Gabon","details":"","authors":"High Frequency Phone Surveys (HFS) reveal that Coronavirus (COVID-19) prevention is partially practiced in Gabon. Households have experienced reductions in income, food insecurity, and lack of education engagement. Less than half of people have reported some government assistance. Survey round available in this brief corresponds to the month of June 2020.","methodology":"Phone survey","sample_size":"1656","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Dataset","source_comment":"The sample is nationally representative of the current population of households with phone access.","publication_channel":"World Bank","link":"https://documents.worldbank.org/en/publication/documents-reports/documentdetail/468071608030795807/covid-19-high-frequency-phone-survey-brief-gabon","source_date":"2020-06-30T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Cluster sample","insert_date":"2021-09-28T00:00:00","data_key":"S118"},{"source_id":"S119","organisation":"Faculté des Sciences de la Santé","title":"Assessment of self-medication practices in the context of the COVID-19 outbreak in Togo","details":"To date, there is no effective treatment for COVID-19, which is a pandemic disease, caused by a novel coronavirus called SARS-CoV-2. In Togo, where four in five people practice self-medication, the absence of a cure for COVID-19 and the constant progression of the disease requires an assessment of self-medication patterns in the context of the pandemic. This study aimed to estimate the prevalence of self-medication to prevent COVID-19 and its associated factors in Lomé, Togo.","authors":"Arnold J. Sadio, Fifonsi A. Gbeasor-Komlanvi, Rodion Y. Konu, Akila W. Bakoubayi, Martin K. Tchankoni, Alexandra M. Bitty-Anderson, Iris M. Gomez, Claudia P. Denadou, Joël Anani, Harold R. Kouanfack, Innocent K. Kpeto, Mounerou Salou, Didier K. Ekouevi","methodology":"Face-to-face interview","sample_size":"955","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Five professional sectors: the healthcare (doctors, nurses, pharmacy auxiliaries, and hospital administrators), air transport, police, road transport (taxi and moto-taxi drivers) and informal (market sellers and craftsmen) sectors","publication_channel":"BMC Public Health","link":"https://doi.org/10.1186/s12889-020-10145-1","source_date":"2020-06-23T00:00:00","key_words":"self medication","source_status":"Processed","frequency":"","sample_type":"Misc.","insert_date":"2021-09-28T00:00:00","data_key":"S119"},{"source_id":"S120","organisation":"Ipsos","title":"Responding to COVID-19: Highlights of a Survey in Liberia","details":"Public health social measures (PHSMs) are an important strategy to delay and reduce the magnitude of COVID-19. PHSMs particularly those that restrict movement or entail the closure of services, can place a significant burden on populations. The effective implementation of PHSMs will require public support and compliance. Hence, this survey was conducted to assess public support for, and the likely social impacts of PHSMs in Liberia.","authors":"Resolve to Save Lives, Vital Strategies, Africa CDC, the World Health Organization’s African Regional Office (AFRO) and Eastern Mediterranean Regional Office (EMRO), and the World Economic Forum","methodology":"Phone survey","sample_size":"1059","target_pop":"","scale":"National","quality_check":"","impact_factor":"","access_type":"Report","source_comment":"The fieldwork on this study was conducted by Ipsos with results based on 1,059 interviews with adults aged 18+ in Monrovia. Fieldwork was administered by Computer Assisted Telephone Interviewing (CATI) using a\nRandom Digit Dial (RDD) approach incorporating both landline and mobile sample. Data are representative of the populations of the urban area (s) included and are unweighted. Fieldwork took place between April 4 and April 7, 2020. ","publication_channel":"Ipsos","link":"https://www.ipsos.com/sites/default/files/ct/publication/documents/2020-05/liberia_report_0.pdf","source_date":"2020-04-07T00:00:00","key_words":"perception|impact|support|information","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S120"},{"source_id":"S121","organisation":"Karolinska Institutet","title":"Community knowledge, perceptions and practices around COVID-19 in Sierra Leone: a nationwide, cross-sectional survey","details":"To assess the public’s knowledge, attitudes and practices about the novel coronavirus in Sierra Leone to inform an evidence-based communication strategy around COVID-19.","authors":"Paul Sengeh, Mohammad B Jalloh, Nance Webber, Ibrahim Ngobeh, Thomas Samba, Harold Thomas, Helena Nordenstedt, Maike Winters","methodology":"Face-to-face interview","sample_size":"1253","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The study administered a cross-sectional, nationwide survey in Sierra Leone between 16 and 25 March 2020. The study used a multistage cluster sampling design with primary sampling units selected with probability relative to their size. The list of around 1200 peripheral health units (PHUs) formed the sampling frame for the selection of enumeration areas. Sierra Leone is divided into 14 districts: four PHUs were randomly selected from each district. In each of the selected PHUs, a random sample of 25 households from the PHU’s catchment population was selected and a resident aged 18 years or older was randomly selected for an interview. 1253 adults aged 18 years and older of which 52% were men. The multilingual numerators were district-based staff from FOCUS1000 and dispatched to areas that corresponded to their language skills. ","publication_channel":"BMJ","link":"http://dx.doi.org/10.1136/bmjopen-2020-040328","source_date":"2020-09-01T00:00:00","key_words":"knowledge|perception|practice","source_status":"Processed","frequency":"","sample_type":"Cluster sample","insert_date":"2021-09-28T00:00:00","data_key":"S121"},{"source_id":"S122","organisation":"UNICEF","title":"UNICEF Jordan Rapid Assessment COVID-19 KAP March 2020 rev_3","details":"In March 2020 UNICEF Jordan PME team and the Social protection (Hajati team) conducted a rapid assessment (KAP) for COVID-19 targeting 1,000 vulnerable households (Hajati cash transfer program beneficiaries) by using RapidPro. The questionnaire has two batches, the first batch was asking about how people receive the information about flu and other diseases, the second batch was asking about the measures that they and their families are taking to prevent Coronavirus. ","authors":"UNICEF Jordan","methodology":"Texting survey","sample_size":"418","target_pop":"Vulnerable people","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"In March 2020 UNICEF Jordan PME team and the Social protection (Hajati team) conducted a rapid assessment (KAP) for COVID-19 targeting 1,000 vulnerable households (Hajati cash transfer program beneficiaries) by using RapidPro. High level of awareness noted - 93 % of respondents were aware of the Coronavirus. Two types of standard questionnaires (Batch 1: Information Source & Batch 2: Prevention Knowledge)\nwere developed based on the global COVID-19 RCCE Guidance with local adjustment and were transmitted to respondents through SMS (RapidPro). The questionnaires were sent to 1,000 Hajati cash transfer beneficiaries (50% females and 50% males). The complete response was received from 418 beneficiaries of which 51% were males and 49% were females.","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/1TDrCg2X0DXC03hLekgFBLaNOPWNp2tX0/view?usp=sharing","source_date":"2020-03-01T00:00:00","key_words":"perception|vulnerable people|practice","source_status":"Processed","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S122"},{"source_id":"S123","organisation":"UNICEF","title":"National Risk Communication and Community Engagement Campaign Baseline Survey - Vol. 1","details":"In April 2020, this survey was implemented with the following objectives:• To generate the baseline data for UNICEF-supported Risk Communication and Community Engagement Efforts (RCCE) and use the results to inform the content of the Phase 2 campaign;• To find out how and to what extent COVID-19 has been impacting people’s lives and shaping new social norms and/or behavioral changes;• To understand and take a closer look at people’s and children’s critical knowledge gaps and major challenges during the lockdown;• To generate recommendations for improving the COVID-19 response by addressing existing gaps.","authors":"UNICEF Jordan","methodology":"Texting survey","sample_size":"1042","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"As for limitations, the survey data were collected from Facebook and Instagram users only. Facebook and Instagram users in Jordan with the age cohort of 18-45. Raw data available at https://ifrcorg.sharepoint.com/:x:/r/sites/RCCECollectiveService-RCCEIMNetwork/Shared%20Documents/RCCE%20IM%20Network/Data%20sources/MENA/Jordan/Preliminary%20M%26E%20-%20C4D-Batch1%20Analysis_852020-1.xlsx?d=wbd63b15420ab431687c6d0d3d56edb3f&csf=1&web=1&e=Ys7f76","publication_channel":"UNICEF","link":"https://drive.google.com/file/d/1-tvfNepU091h7cFMiY1RdCXP9VTgykhi/view?usp=sharing","source_date":"2020-04-01T00:00:00","key_words":"knowledge|perception|practice|impact","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S123"},{"source_id":"S124","organisation":"World Bank","title":"Papua New Guinea High Frequency Phone Survey On COVID-19 - Results from round 1","details":"A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for Papua New Guinea. This report presents the findings of the first of five planned rounds of a mobile phone survey in PNG. Round 1 interviewed more than 3,000 respondents across the country in late June 2020 on topics including knowledge of COVID-19, employment and income, food security, coping strategies, access to health care, and public trust and security. While these findings are not without their caveats due to the lack of baseline data and constraints of the mobile phone survey methodology, they represent the best estimates to date and supplement other data on macroeconomic conditions, exports, firm-level information, etc. to develop an initial picture of the impacts of COVID-19 on the population.","authors":"K. Himelein, J. C. Waldersee, and B. A. Wirapati","methodology":"Phone survey","sample_size":"3115","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Dataset","source_comment":"To make inferences at the level of the population instead of mobile phone holders, it was necessary to reweight the survey data.","publication_channel":"World Bank","link":"https://documents.worldbank.org/en/publication/documents-reports/documentdetail/459511607010120078/papua-new-guinea-high-frequency-survey-on-covid-19-first-round-results","source_date":"2020-08-06T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Cluster sample","insert_date":"2021-09-28T00:00:00","data_key":"S124"},{"source_id":"S125","organisation":"World Bank","title":"Solomon Islands - High Frequency Survey on COVID-19 : First Round Results","details":"The Solomon Islands is a lower middle income small island state in the Melanesian region of the Southwest Pacific. Agriculture, including logging, is central to the economy of the Solomon Islands. To protect the country from importation of Coronavirus (COVID-19) and to limit the possible spread of undiagnosed cases, beginning March 27, the government enacted a series of emergency measures under the State of Public Emergency (SoPE). Coronavirus (COVID-19) response measures, both domestically and abroad, are expected to have negative impacts on the economy and on livelihoods. A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. The objective of this survey was to measure the socioeconomic impacts of the Coronavirus (COVID-19) global pandemic in the Solomon Islands, including livelihoods, food security, and public safety and security, through a high frequency mobile phone survey.","authors":"K. Himelein, J. C. Waldersee, B. A. Wirapati, and S. Eckman","methodology":"Phone survey","sample_size":"2665","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Dataset","source_comment":"To make inferences at the level of the population instead of mobile phone holders, it was necessary to reweight the survey data.","publication_channel":"World Bank","link":"http://documents.worldbank.org/curated/en/167041607012187892/Solomon-Islands-High-Frequency-Survey-on-COVID-19-First-Round-Results","source_date":"2020-10-30T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Cluster sample","insert_date":"2021-09-28T00:00:00","data_key":"S125"},{"source_id":"S126","organisation":"Ain Shams University","title":"COVID-19-related stigmatization among a sample of Egyptian healthcare workers","details":"This study explores COVID-19-related stigma and its associated factors among Egyptian physicians.","authors":"Aya Mostafa, Walaa Sabry, Nayera S. Mostafa","methodology":"Web-based survey","sample_size":"509","target_pop":"Healthcare workers","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The online questionnaire was developed using Microsoft forms through the secure platform of the Faculty of Medicine and an official e-mail address that is password-protected and available only to the research team. The link to the questionnaire was distributed through various social networks and emails. Participants were encouraged to share the form with workmates. No incentives were provided for participation.","publication_channel":"PLOS One","link":"https://doi.org/10.1371/journal.pone.0244172","source_date":"2020-12-18T00:00:00","key_words":"stigma","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S126"},{"source_id":"S127","organisation":"UNICEF","title":"Attitudes and behaviors about COVID-19","details":"","authors":"U-Report Argentina","methodology":"Texting survey","sample_size":"589","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://argentina.ureport.in/opinion/1668/","source_date":"2020-04-17T00:00:00","key_words":"preventive measures|stigmatisation","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S127"},{"source_id":"S128","organisation":"UNICEF","title":"COVID 19 - Attitudes and behaviors during quarantine","details":"","authors":"U-Report Bolivia","methodology":"Texting survey","sample_size":"664","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://bolivia.ureport.in/opinion/1685/","source_date":"2020-04-18T00:00:00","key_words":"psychosocial impact|Stigmatisation","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S128"},{"source_id":"S129","organisation":"UNICEF","title":"How is COVID-19 impacting the lives of adolescents and young people in Ecuador?","details":"","authors":"U-Report Ecuador","methodology":"Texting survey","sample_size":"632","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://ecuador.ureport.in/opinion/1692/","source_date":"2020-04-23T00:00:00","key_words":"Psycho social Impact|stigmatisation","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S129"},{"source_id":"S130","organisation":"UNICEF","title":"Post COVID-19 Conflict - What is the role of youth?","details":"","authors":"U-Report Guatemala","methodology":"Texting survey","sample_size":"457","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"Without Progress province","publication_channel":"UNICEF","link":"https://guatemala.ureport.in/opinion/1856/","source_date":"2020-08-05T00:00:00","key_words":"Community Engagement|distance learning|stigmatisation","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S130"},{"source_id":"S131","organisation":"UNICEF","title":"Attitudes, knowledge and behaviors of adolescents and young people regarding COVID-19","details":"","authors":"U-Report Guatemala","methodology":"Texting survey","sample_size":"2033","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://guatemala.ureport.in/opinion/1675/","source_date":"2020-04-16T00:00:00","key_words":"symptoms;preventive measures|stigmatisation|susceptibility|trust in government|","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S131"},{"source_id":"S132","organisation":"UNICEF","title":"Kosovo Attitudes toward COVID-19 preventive measures","details":"","authors":"U-Report Western Balkan","methodology":"Texting survey","sample_size":"1620","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://westernbalkans.ureport.in/opinion/1806/","source_date":"2020-07-08T00:00:00","key_words":"mask wearing|protective measures|stigmatisation","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S132"},{"source_id":"S133","organisation":"UNICEF","title":"COVID-19 Vaccine","details":"","authors":"U-Report RDC","methodology":"Texting survey","sample_size":"8944","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://drc.ureport.in/opinion/4847/","source_date":"2020-02-11T00:00:00","key_words":"vaccine uptake;","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S133"},{"source_id":"S134","organisation":"UNICEF","title":"COVID-19 Vaccine","details":"","authors":"U-Report Ghana","methodology":"Texting survey","sample_size":"142","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"Very low sample","publication_channel":"UNICEF","link":"https://ghana.ureport.in/opinion/4886/","source_date":"2021-02-21T00:00:00","key_words":"vaccine uptake;","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S134"},{"source_id":"S135","organisation":"UNICEF","title":"COVID-19 Vaccination Campaign","details":"","authors":"U-Report Ghana","methodology":"Texting survey","sample_size":"1686","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://ghana.ureport.in/opinion/4913/","source_date":"2021-03-04T00:00:00","key_words":"vaccine uptake;","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S135"},{"source_id":"S136","organisation":"UNICEF","title":"Roll out vaccines against COVID-19.","details":"","authors":"U-Report Nigeria","methodology":"Texting survey","sample_size":"86156","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://nigeria.ureport.in/opinion/4856/","source_date":"2021-02-18T00:00:00","key_words":"vaccine uptake|rumors;","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S136"},{"source_id":"S137","organisation":"UNICEF","title":"Perception of adolescents and youth on Covid-19 Vaccination roll out in Philippines","details":"","authors":"U-Report Philippines","methodology":"Texting survey","sample_size":"171","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"Low sample","publication_channel":"UNICEF","link":"https://philippines.ureport.in/opinion/4881/","source_date":"2021-03-01T00:00:00","key_words":"vaccine uptake;","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S137"},{"source_id":"S138","organisation":"UNICEF","title":"Perceptions on COVID-19 Vaccine","details":"","authors":"U-Report Papua New Guinea","methodology":"Texting survey","sample_size":"103","target_pop":"Youth","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"Very low sample","publication_channel":"UNICEF","link":"https://png.ureport.in/opinion/4853/","source_date":"2021-02-09T00:00:00","key_words":"vaccine uptake;","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S138"},{"source_id":"S139","organisation":"UNICEF","title":"Kosovo – Vaccine perception and confidence","details":"","authors":"U-Report Western Balkan","methodology":"Texting survey","sample_size":"1454","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://westernbalkans.ureport.in/opinion/2157/","source_date":"2020-12-21T00:00:00","key_words":"vaccine uptake","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S139"},{"source_id":"S140","organisation":"UNICEF","title":"Albania - Vaccine perception and confidence","details":"","authors":"U-Report Western Balkan","methodology":"Texting survey","sample_size":"176","target_pop":"Youth","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"Very low sample","publication_channel":"UNICEF","link":"https://westernbalkans.ureport.in/opinion/2155/","source_date":"2020-12-21T00:00:00","key_words":"vaccine uptake","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S140"},{"source_id":"S141","organisation":"UNICEF","title":"COVID-Vaccination opinions","details":"","authors":"U-Report Zambia","methodology":"Texting survey","sample_size":"7739","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://zm.ureport.in/opinion/4860/","source_date":"2021-01-23T00:00:00","key_words":"vaccine uptake","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S141"},{"source_id":"S142","organisation":"UNICEF","title":"Perception on coronavirus (COVID-19)","details":"","authors":"U-Report Mali","methodology":"Texting survey","sample_size":"8752","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://mali.ureport.in/opinion/4170/","source_date":"2020-04-30T00:00:00","key_words":"susceptibilitiy|Government measure efficacy|economic impact|mask wearing","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S142"},{"source_id":"S143","organisation":"UNICEF","title":"Youth perception on COVID-19 situation","details":"","authors":"U-Report Mali","methodology":"Texting survey","sample_size":"2734","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://mali.ureport.in/opinion/4709/","source_date":"2020-11-21T00:00:00","key_words":"misinformation|susceptibility|mask efficacy|","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S143"},{"source_id":"S144","organisation":"UNICEF","title":"COVID-19 Information and perception about the Coronavirus","details":"","authors":"U-Report Argentina","methodology":"Texting survey","sample_size":"228","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"Low and localised sample","publication_channel":"UNICEF","link":"https://argentina.ureport.in/opinion/1659/","source_date":"2020-04-13T00:00:00","key_words":"Information|information channel|susceptibility|preventive measures|","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S144"},{"source_id":"S145","organisation":"UNICEF","title":"What do Bolivian youth know about the COVID-19 disease and do they think they are at risk?","details":"","authors":"U-Report Bolivia","methodology":"Texting survey","sample_size":"1178","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://bolivia.ureport.in/opinion/1638/","source_date":"2020-03-24T00:00:00","key_words":"information access|knowledge on transmission|susceptibility|media channel|Perception","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S145"},{"source_id":"S146","organisation":"UNICEF","title":"What do we think about COVID-19 in Costa Rica?","details":"","authors":"U-Report Costa Rica","methodology":"Texting survey","sample_size":"174","target_pop":"Youth","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"Very low sample","publication_channel":"UNICEF","link":"https://costarica.ureport.in/opinion/1658/","source_date":"2020-04-13T00:00:00","key_words":"Information|susceptibility","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S146"},{"source_id":"S147","organisation":"UNICEF","title":"How informed are Ecuadorian adolescents and young people about coronavirus (COVID-19)?","details":"","authors":"U-Report Ecuador","methodology":"Texting survey","sample_size":"1236","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://ecuador.ureport.in/opinion/1674/","source_date":"2020-04-10T00:00:00","key_words":"Susceptibility|trust|efficacy","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S147"},{"source_id":"S148","organisation":"UNICEF","title":"How are you feeling about COVID-19?","details":"","authors":"U-Report Micronesia","methodology":"Texting survey","sample_size":"56","target_pop":"Youth","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"No representative","publication_channel":"UNICEF","link":"https://fsm.ureport.in/opinion/4098/","source_date":"2020-04-03T00:00:00","key_words":"Susceptibility","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S148"},{"source_id":"S149","organisation":"UNICEF","title":"KAP COVID-19 : Knowledge and concerns of young people","details":"","authors":"U-Report Haiti","methodology":"Texting survey","sample_size":"4506","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://haiti.ureport.in/opinion/4141/","source_date":"2020-04-13T00:00:00","key_words":"information satisfaction|information sources|susceptibility","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S149"},{"source_id":"S150","organisation":"UNICEF","title":"Action from young people during and after COVID-19","details":"","authors":"U-Report Haiti","methodology":"Texting survey","sample_size":"3600","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://haiti.ureport.in/opinion/4486/","source_date":"2020-08-19T00:00:00","key_words":"Susceptibility|psychosocial impact|preventive measures","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S150"},{"source_id":"S151","organisation":"UNICEF","title":"Information and perception about COVID-19","details":"","authors":"U-Report Honduras","methodology":"Texting survey","sample_size":"733","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://honduras.ureport.in/opinion/1682/","source_date":"2020-04-16T00:00:00","key_words":"information access|information sources|trust in information|susceptibility","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S151"},{"source_id":"S152","organisation":"UNICEF","title":"Poll on Coronavirus","details":"","authors":"U-Report Malawi","methodology":"Texting survey","sample_size":"46274","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://ureport.mw/opinion/3989/","source_date":"2020-02-13T00:00:00","key_words":"Disease|Susceptibility|symptoms|","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S152"},{"source_id":"S153","organisation":"UNICEF","title":"COVID-19 Myth-busters Quiz, March 2020","details":"","authors":"U-Report Malawi","methodology":"Texting survey","sample_size":"33725","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://ureport.mw/opinion/4119/","source_date":"2020-04-07T00:00:00","key_words":"Information access|Media consumption|Knowledge and misinformation|Susceptibility","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S153"},{"source_id":"S154","organisation":"UNICEF","title":"Midline Poll on knowledge, attitude and practices on COVID-19","details":"","authors":"U-Report Malawi","methodology":"Texting survey","sample_size":"20319","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://ureport.mw/opinion/4591/","source_date":"2020-09-23T00:00:00","key_words":"awareness, susceptibility, mask wearing|handwashing|social distance|information satisfaction;","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S154"},{"source_id":"S155","organisation":"UNICEF","title":"How much do youth and teens know about COVID-19?","details":"","authors":"U-Report Mexico","methodology":"Texting survey","sample_size":"3045","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://mexico.ureport.in/opinion/4118/","source_date":"2020-04-13T00:00:00","key_words":"Information Access|Susceptibility|Efficacy","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S155"},{"source_id":"S156","organisation":"UNICEF","title":"To understand your concerns about the spread of coronavirus in Nigeria","details":"","authors":"U-Report Nigeria","methodology":"Texting survey","sample_size":"69078","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://nigeria.ureport.in/opinion/4579/","source_date":"2020-09-23T00:00:00","key_words":"Information Access|Media consumption|Disease knowledge|susceptibility|misinformation","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S156"},{"source_id":"S157","organisation":"UNICEF","title":"What do young people think about the authorities' handling of the coronavirus?","details":"","authors":"U-Report Norway","methodology":"Texting survey","sample_size":"564","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://norge.ureport.in/opinion/1939/","source_date":"2020-09-23T00:00:00","key_words":"susceptibility|","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S157"},{"source_id":"S158","organisation":"UNICEF","title":"Corona Virus in Sierra Leone - Poll 7","details":"","authors":"U-Report Sierra Leone","methodology":"Texting survey","sample_size":"3325","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://sierraleone.ureport.in/opinion/4218/","source_date":"2020-05-19T00:00:00","key_words":"Susceptibility|Mask wearing|Misinformaiton","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S158"},{"source_id":"S159","organisation":"UNICEF","title":"Albania - Improve the risk protection from COVID-19 poll","details":"","authors":"U-Report Western Balkan","methodology":"Texting survey","sample_size":"514","target_pop":"Youth","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"UNICEF","link":"https://westernbalkans.ureport.in/opinion/1618/","source_date":"2020-03-23T00:00:00","key_words":"susceptibility|transmission|preventive measure efficacy|symptoms|information sources;","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S159"},{"source_id":"S160","organisation":"IFRC","title":"Understanding our Communities in St. Vincent and the Grenadines: Results from a COVID-19 protection measures and vaccine perception survey","details":"The St. Vincent and the Grenadines Red Cross Society launched a COVID-19 protection measures and vaccine perception survey to better understand how people are feeling about the pandemic and the measures to stay safe and healthy.The survey ran for the first three weeks of March and we had feedback from 276 people, which gives us a margin of error of +/- 6 percent with a 95 per cent confidence level.","authors":"IFRC","methodology":"Web-based survey","sample_size":"276","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"","publication_channel":"IFRC","link":"https://communityengagementhub.org/wp-content/uploads/sites/2/2021/04/SVG-COVID-Survey-Results.pdf","source_date":"2021-03-01T00:00:00","key_words":"perception|vaccine","source_status":"Processed","frequency":"","sample_type":"Undefined","insert_date":"2021-09-28T00:00:00","data_key":"S160"},{"source_id":"S161","organisation":"WHO","title":"GHO OData API","details":"The GHO portal provides a simple query interface to the World Health Organization's data and statistics content, using OData (Open Data Protocol). ","authors":"WHO","methodology":"","sample_size":"","target_pop":"","scale":"Global","quality_check":"Internal review","impact_factor":"","access_type":"Dataset","source_comment":"","publication_channel":"WHO","link":"https://www.who.int/data/gho/info/gho-odata-api","source_date":"2020-03-01T00:00:00","key_words":"","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S161"},{"source_id":"S162","organisation":"ITU","title":"Percentage of Individuals using the Internet?","details":"As the UN specialized agency for ICTs, ITU is the official source for global ICT statistics.","authors":"ITU","methodology":"","sample_size":"","target_pop":"","scale":"Global","quality_check":"Internal review","impact_factor":"","access_type":"Dataset","source_comment":"Static data - we used the latest available for each country","publication_channel":"ITU","link":"https://www.itu.int/en/ITU-D/Statistics/Documents/statistics/2021/PercentIndividualsUsingInternet.xlsx","source_date":"2020-03-01T00:00:00","key_words":"internet","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S162"},{"source_id":"S163","organisation":"UNESCO","title":"UNESCO Institute for Statistics","details":"The UNESCO Institute for Statistics (UIS) is the official and trusted source of internationally-comparable data on education, science, culture and communication","authors":"UNESCO","methodology":"","sample_size":"","target_pop":"","scale":"Global","quality_check":"Internal review","impact_factor":"","access_type":"Dataset","source_comment":"","publication_channel":"UNESCO","link":"https://apiportal.uis.unesco.org/bdds","source_date":"2020-03-01T00:00:00","key_words":"literacy","source_status":"Identified","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S163"},{"source_id":"S164","organisation":"World Bank","title":"Harmonized COVID-19 Household Monitoring Surveys","details":"The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary.","authors":"World Bank","methodology":"Phone survey","sample_size":"8794","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Dataset","source_comment":"The figures presented in this dashboard are derived from the Rapid Monitoring Database (RMD). The RMD is a harmonized collection of high-frequency phone surveys in response to the COVID-19 crisis conducted by the World Bank Group and partners so that they share a common format. In cases where countries had recently conducted representative household survey that contains re-contact information for some or all household members, this data was often used to create a representative sampling frame for telephone-based surveys. In other cases, list-based sampling frames used numbers from government registries, telecommunications companies, marketing firms, or other sources to survey representative samples. See more on: https://datacatalog.worldbank.org/dataset/harmonized-covid-19-household-monitoring-surveys","publication_channel":"World Bank","link":"https://datacatalog.worldbank.org/dataset/harmonized-covid-19-household-monitoring-surveys","source_date":"2020-03-01T00:00:00","key_words":"impact|practice","source_status":"Processed","frequency":"","sample_type":"Misc.","insert_date":"2021-09-28T00:00:00","data_key":"S164"},{"source_id":"S165","organisation":"YouGov","title":"YouGov COVID-19 tracker: government handling","details":"COVID-19: government handling and confidence in health authorities","authors":"YouGov","methodology":"Web-based survey","sample_size":"43500","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Dashboard","source_comment":"YouGov conducts its public opinion surveys online using something called Active Sampling for the overwhelming majority of its commercial work, including all nationally and regionally representative research. The emphasis is always on the quality of the sample, rather than the quantity of respondents. When using Active Sampling, restrictions are put in place to ensure that only the people contacted are allowed to participate. This means that all the respondents who complete YouGov surveys will have been selected by YouGov, from our panel of registered users, and only those who are selected from this panel are allowed to take part in the survey. When a new panel member is recruited, a host of socio-demographic information is recorded. For nationally representative samples, YouGov draws a sub-sample of the panel that is representative of adults in terms of age, gender, social class and education, and invites this sub-sample to complete a survey.","publication_channel":"YouGov","link":"https://yougov.co.uk/topics/international/articles-reports/2020/03/17/perception-government-handling-covid-19","source_date":"2021-03-01T00:00:00","key_words":"government approval","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S165"},{"source_id":"S166","organisation":"YouGov","title":"YouGov COVID-19 behaviour changes tracker","details":"Personal measures taken to avoid COVID-19","authors":"","methodology":"Web-based survey","sample_size":"43500","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Dashboard","source_comment":"YouGov conducts its public opinion surveys online using something called Active Sampling for the overwhelming majority of its commercial work, including all nationally and regionally representative research. The emphasis is always on the quality of the sample, rather than the quantity of respondents. When using Active Sampling, restrictions are put in place to ensure that only the people contacted are allowed to participate. This means that all the respondents who complete YouGov surveys will have been selected by YouGov, from our panel of registered users, and only those who are selected from this panel are allowed to take part in the survey. When a new panel member is recruited, a host of socio-demographic information is recorded. For nationally representative samples, YouGov draws a sub-sample of the panel that is representative of adults in terms of age, gender, social class and education, and invites this sub-sample to complete a survey.","publication_channel":"YouGov","link":"https://yougov.co.uk/topics/international/articles-reports/2020/03/17/personal-measures-taken-avoid-covid-19","source_date":"2021-03-01T00:00:00","key_words":"pratice|mask","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S166"},{"source_id":"S167","organisation":"CoMuNe Lab","title":"COVID-19 Infodemics Observatory ","details":"It is an interactive dashboard where we present estimates of how much a country is potentially exposed to misinformation or disinformation about COVID-19, by estimating the infodemic risk as the online exposure to potentially misinformative messages by social media users on a given day in a specific country, and many other indices.","authors":"CoMuNe Lab, FBK","methodology":"Web-based survey","sample_size":"","target_pop":"","scale":"Global","quality_check":"","impact_factor":"","access_type":"Dataset","source_comment":"Methodology has been published and approved. See more on: https://doi.org/10.1038/s41562-020-00994-6","publication_channel":"Complex Multilayer Networks Lab","link":"https://covid19obs.fbk.eu/#/","source_date":"2021-03-01T00:00:00","key_words":"infodemic","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S167"},{"source_id":"S168","organisation":"Eurofound","title":"Living, working and COVID-19 dataset","details":"Eurofound’s unique e-survey, Living, working and COVID-19, provides a snapshot of the impact of the pandemic on people’s lives, with the aim of helping policymakers to bring about an equal recovery from the crisis. ","authors":"","methodology":"Web-based survey","sample_size":"63354","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Dataset","source_comment":"Survey participants were recruited using online snowball sampling methods and social medial advertisements. By April 30,2020, 86,457 respondents had participated in the survey, of which 84,521 were\nfrom the European Union. The data was cleaned with partial interviews, interviews with high nonresponse and interviews with people outside the target age group removed. The total number of interviews after cleaning was 62,755, of which 61,788 were from the EU. The share of clean responses out of the total participation was 73%. See more on: https://www.eurofound.europa.eu/sites/default/files/wpef20005.pdf","publication_channel":"Eurofund","link":"https://www.eurofound.europa.eu/data/covid-19/financial-situation","source_date":"2021-02-23T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S168"},{"source_id":"S169","organisation":"UNICEF","title":"Rapid assessment KAP (knowledge attitude practice) - COVID-19 response public opinion polling in Bosnia and Herzegovina","details":"The main purpose of the research is to develop appropriate communication strategies and interventions to combat the coronavirus epidemic in Bosnia and Herzegovina.The main goal of the research is to assess the level of awareness about the coronavirus (COVID-19) among the general population of adult citizens of Bosnia and Herzegovina, to identify the main sources of information, deficiencies in information flow and key sources most trusted when it comes to imparting information related to the epidemic.","authors":"UNICEF, USAID, Ipsos","methodology":"Misc.","sample_size":"3000","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Data were collected through computer-aided telephone interviewing (CATI) in combination with a computer-aided web interviewing (CAWI), using the Ipsos Online Panel. Using the CATI method, data were collected from 2000 respondents, plus another 1000 through the CAWI method. Data collection was carried out in the period from 22 April to 28 April 2020. The research included adult citizens from the territory of Bosnia and Herzegovina. The sample size is 3000 respondents, over 18 years of age. The sample was stratified in two stages, by region, type of settlement (urban/rural), age and sex, and is representative by region, type of settlement, age, sex, and education, as per the population parameters of the 2013 Census of Bosnia and Herzegovina.","publication_channel":"UNICEF","link":"https://www.unicef.org/bih/media/5236/file/Report%20KAP%20Rapid%20Response%20CO VID%20-19_English%20version.pdf","source_date":"2020-04-01T00:00:00","key_words":"information|knowledge|pratice|trust|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S169"},{"source_id":"S170","organisation":"Abt Associates","title":"Predictors of uptake of a potential COVID-19 vaccine among nigerian adults","details":"The Coronavirus diseases (COVID-19) pandemic is not abating and there is no approved treatment yet. The development of vaccines is hoped to help in addressing this disease outbreak. However, in the face of anti-vaccines uprise, it is important to understand the factors that may influence the uptake of COVID-19 vaccines as this will influence how successful the fight against COVID-19 will be in the long term.","authors":"Charles Oluwatemitope Olomofe, Victor Kehinde Soyemi, Bolaji Felicia Udomah, Adeyinka Olabisi Owolabi, Emmanuel Eziashi Ajumuka, Chukwudum Martin Igbokwe Uriel Oludare Ashaolu, Ayodele Olusola Adeyemi, Yetunde Bolatito Aremu-Kasumu, Olufunke Folasade Dada, John Chikezie Ochieze, Olaniyi Bamidele Fayemi, Kehinde Williams Ologunde, Gbenga Omotade Popoola Olumuyiwa Elijah Ariyo","methodology":"Web-based survey","sample_size":"776","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"The study was conducted online using a pre-tested, semi-structured questionnaire and included Nigerian adults above the age of 18 years who consented to participate in the study. The minimum sample size was determined to be 409 at a confidence level of 95% and based on the proportion of people with good knowledge of 39% in a previous study20 and a 5% margin of error. The pretested questionnaires with participants’ information sheets were distributed widely online. The data were collected from June to July 2020.","publication_channel":"medRxiv","link":"https://doi.org/10.1101/2020.12.28.20248965 ","source_date":"2021-01-04T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S170"},{"source_id":"S171","organisation":"COVIDiSTRESS","title":"COVIDiSTRESS global survey","details":"The COVIDiSTRESS global survey is an international collaborative undertaking for data gathering on people’s experiences, behavior and attitudes during the COVID-19 pandemic.In particular, the survey focuses on psychological stress, compliance with behavioral guidelines to slow the spread of Coronavirus, and trust in governmental institutions and their preventive measures, but multiple further items and scales are included for descriptive statistics, further analysis and comparative mapping between participating countries.","authors":"The COVIDiSTRESS Global Survey Consortium","methodology":"Web-based survey","sample_size":"178109","target_pop":"","scale":"Multi-country","quality_check":"No","impact_factor":"","access_type":"Dataset","source_comment":"The study has so far involved more than 150,000 individual respondents from over 50 different countries, sharing their experience of the human consequences of the crisis. The sample is an organic convenience sample. ","publication_channel":"OSF","link":"https://osf.io/s32gy","source_date":"2020-01-05T00:00:00","key_words":"impact|perception|practice","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S171"},{"source_id":"S172","organisation":"University of Ibadan","title":"Survey data of COVID-19-related Knowledge, Risk Perceptions and Precautionary Behavior among Nigerians","details":"In response to the global call for strategic information to understand the novel coronavirus, the dataset presented in this paper is an examination of COVID-19-related knowledge, risk perceptions and precautionary health behavior among Nigerians. The data were generated during the COVID-19 lockdown in the country through a survey distributed via an online questionnaire, assessing socio-demographic information (7 items), knowledge (5 items), information sources (1 item), risk perception (9 items), expected end of lockdown (1 item), and COVID-19 precautionary health behavior (10 items), from 28th March to 4th April, 2020, gathering a total of 1,357 responses. A combination of purposive and snowball techniques helped to select the respondents via Whatsapp and Facebook from 180 cities/towns in the 6 geopolitical zones of Nigeria. The survey data were analyzed using descriptive statistics. The entire dataset is stored in a Microsoft Excel Worksheet (xls) and the questionnaire is attached as a supplementary file. The data will assist in curbing the Coronavirus pandemic by offering evidence for strategic and targeted interventions as well as health policy formulations and implementation.","authors":"Peter O. Olapegba, Steven K. Iorfa, Samson O. Kolawole, Rotimi Oguntayo, Joshua C. Gandi, Iboro F. A. Ottu, Olusola Ayandele","methodology":"Web-based survey","sample_size":"1357","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The questionnaire is included in this article and may be accessed online. The data for the survey were obtained from respondents in 180 Nigerian cities/towns with internet access. A combination of purposive and snowball techniques helped to select the respondents via Whatsapp and Facebook from all the 6 geopolitical zones of Nigeria.","publication_channel":"Data in Brief","link":"https://doi.org/10.1016/j.dib.2020.105685","source_date":"2020-01-06T00:00:00","key_words":"perception|practice","source_status":"Processed","frequency":"","sample_type":"Misc.","insert_date":"2021-09-28T00:00:00","data_key":"S172"},{"source_id":"S173","organisation":"Yonsei University","title":"COVID-19 Perception, Knowledge, and Preventive Practice: Comparison between South Korea, Ethiopia, and Democratic Republic of Congo","details":"The present study aimed to: 1) identify differences in trust level of COVID-19 diagnosis, recent healthcare utilization experiences, and COVID-19-related knowledge, information, and prevention practices in South Korea, Ethiopia, and DRC; and 2) identify factors influencing trust level in healthcare facilities regarding COVID-19 diagnosis. ","authors":"Hocheol Lee, Seok Jun Moon, Grace Ossak Ndombi, Kyeong-Na Kim, Haftu Berhe, and Eun Woo Nam","methodology":"Web-based survey","sample_size":"773","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The present study was cross-sectional. The questionnaire survey was conducted between May 1–14, 2020 using Google forms, and 748 respondents were included in the final analysis. The data collected were analyzed using ANOVA, post- hoc test, and binary logistic regression analysis. South Korea showed higher rate of practice for COVID-19 prevention such as hand washing, mask wearing, and etc. than Ethiopia and DRC. The results showed significant differences with the trust level being 3.129 times higher in respondents from DRC than those from Ethiopia (aOR=3.129, 95% CI: [1.884-5.196], p<.000) and 29.137 times higher in respondents from South Korean than those from Ethiopia (aOR=29.137, 95% CI: [13.869-61.210], p<.000). Gender, age, number of family members, healthcare utilization experience, information, and practice were significant variables. Health education expansion for information and practice about COVID-19 in Ethiopia and DRC is necessary. ","publication_channel":"AJRH","link":"https://ajrh.info/index.php/ajrh/article/download/2292/pdf","source_date":"2020-01-06T00:00:00","key_words":"knowledge|practice","source_status":"Processed","frequency":"","sample_type":"Misc.","insert_date":"2021-09-28T00:00:00","data_key":"S173"},{"source_id":"S174","organisation":"Makerere University","title":"Face-Masking, an Acceptable Protective Measure against COVID-19 in Ugandan High-Risk Groups","details":"This study aims to assess knowledge, attitudes, perceptions, and practices toward COVID-19 and face-mask use among 644 high-risk individuals in Kampala, Uganda. The majority, 99.7% and 87.3% of the participants, respectively, had heard about COVID-19 and believed that face-masks were protective against COVID-19, whereas 67.9% reported having received information on face-mask use. ","authors":"Gerald Mboowa, David Musoke, Douglas Bulafu, Dickson Aruhomukama ","methodology":"Face-to-face interview","sample_size":"659","target_pop":"Healthcare workers","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"This study’s sample size constituted 659 study participants. The sample size was calculated using the Kish Leslie formula (1995) for cross-sectional studies, giving a sample size of 384. Because most of the targeted participants were working in shifts, we considered a nonresponse rate of 30%, and a design effect of 1.2,43 giving us a sample size of 659 study participants. At each of the sites, multistage sampling was performed based on the average number of participants present to ensure equal representation of all the sites. Several clusters of 20–25 participants were selected from each site using the probability proportion to size sampling, which ensured that all individuals in the target populations had an equal chance of being selected. Three to four busy days of the week were purposively selected to visit each of the sites.","publication_channel":"American Journal of Tropical Medicine and Hygiene","link":"https://doi.org/10.4269/ajtmh.20-1174","source_date":"2020-12-14T00:00:00","key_words":"practice|mask","source_status":"Processed","frequency":"","sample_type":"Cluster sample","insert_date":"2021-09-28T00:00:00","data_key":"S174"},{"source_id":"S175","organisation":"University of Buea","title":"Assessment of Vaccine Hesitancy to a COVID-19 Vaccine in Cameroonian Adults and Its Global Implication","details":"This study aims to assess vaccine hesitancy in Cameroonians between May to August 2020. A","authors":"Jerome Nyhalah Dinga, Leontine Kouemou Sinda and Vincent P. K. Titanji","methodology":"Misc.","sample_size":"2512","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"A cross-sectional survey was carried out with Cameroonians living in the country or abroad from May to August 2020. This cross-sectional survey was done to encompass descriptive, quantitative and qualitative analysis to ascertain prevalence of VH. The Raosoft sample size calculator was used to ensure the recruitment of a sufficiently large number of participants in order to obtain statistically significant data, given the chosen of margin error (5%), confidence interval (95%) and population size (26,000,000 individuals). This gave a sample size of 385 participants. Questionnaires were administered either in person or online using Google Forms through Tweeter, Facebook messenger, pages and groups and WhatsApp groups.","publication_channel":"Vaccines (MDPI)","link":"https://doi.org/10.3390/vaccines9020175","source_date":"2021-01-15T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S175"},{"source_id":"S176","organisation":"London School of Economics and Political Science","title":"Challenges in ensuring global access to COVID-19 vaccines: production, affordability, allocation, and deployment","details":"To guide our review, the authors developed a dashboard to highlight key characteristics of 26 leading vaccine candidates, including efficacy levels, dosing regimens, storage requirements, prices, production capacities in 2021, and stocks reserved for low-income and middle-income countries. ","authors":"Olivier J Wouters, Prof Kenneth C Shadlen, Maximilian Salcher-Konrad, Prof Andrew J Pollard, Prof Heidi J Larson, Yot Teerawattananon ","methodology":"Misc.","sample_size":"26758","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Data jointly collected by the polling company ORB International and the Vaccine Confidence Project (London School of Hygiene & Tropical Medicine). This 32-country survey (n=26,758) of potential acceptance of COVID-19 vaccines was conducted between October 21, 2020, and December 16, 2020 (see Table A1 for field dates in each country). Within each country, the sample ranged from 500 respondents (e.g., Lebanon) to 1,500 respondents (e.g., South Korea). Samples were random and nationally representative of the adult population in 30 of the 32 countries. In Ecuador and Vietnam, interviews were only administered in the main cities (Quito and Guayaquil, Ecuador; Hanoi and Ho Chi Minh City, Vietnam).","publication_channel":"The Lancet","link":"https://doi.org/10.1016/s0140-6736(21)00306-8","source_date":"2021-02-12T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S176"},{"source_id":"S177","organisation":"Myungsung Medical College","title":"COVID-19 Vaccine hesitancy in Addis Ababa, Ethiopia: A mixed-methods study","details":"This study was aimed to assess the level of COVID-19 vaccine acceptability among the population in Addis Ababa, the capital city of Ethiopia by employing a community based mixed methods study. ","authors":"Nebiyu Dereje, Abigel Tesfaye, Beamlak Tamene, Dina Alemeshet, Haymanot Abe, Nathnael Tesfa, Saron Gedion, Tigist Biruk, Yabets Lakew","methodology":"Face-to-face interview","sample_size":"422","target_pop":"","scale":"Localized","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"A concurrent embedded mixed methods design was employed from January 20 –31, 2021 among adult population (=18 years) currently residing in Akaki Kality sub city of Addis Ababa, Ethiopia. The qualitative part of the study was embedded in the bigger quantitative cross sectional study. The qualitative part was mainly intended to explain the reasons for COVID-19 vaccine hesitancy, as a supplementary of the quantitative study. A sample size for the quantitative part of the study (n = 422) was determined by using a single population proportion formula, by taking 95% confidence interval, 5% margin of error, 50%proportion of vaccine hesitancy and adding up 10% non-response rate. For the qualitative part, 24 participants were included into the study based on the information saturation. Multi-stage sampling technique was employed to recruit the participants for the quantitative part. There were 13 districts in the sub-city; of which three of them were selected randomly (lottery method). The tota","publication_channel":"medRxiv","link":"https://doi.org/10.1101/2021.02.25.21252443","source_date":"2021-03-01T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S177"},{"source_id":"S178","organisation":"Texas Tech University","title":"The demand for a COVID-19 vaccine in Africa: Evidence from Kenya","details":"The objectives of this study were to: 1) Measure individuals' willingness to pay (WTP) for a COVID-19 vaccine in Kenya; 2) evaluate the effect of vaccine characteristics (duration of protection and efficacy) and individuals' socioeconomic variables on WTP, and 3) estimate the aggregate demand and economic value of a COVID-19 vaccine. ","authors":"Carlos E. Carpio, Darren Hudson, Oscar Sarasty, Mumina Shibia","methodology":"Web-based survey","sample_size":"1050","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"Data for this study were obtained from a survey of 1,050 individuals in Kenya conducted from April 7 to April 15, 2020. The survey included contingent valuation (CV) questions to determine whether individuals would buy a COVID-19 vaccine at stated bid prices. A double-bounded dichotomous choice format was used for the CV questions. Most of the individuals in Kenya (at least 96%) were found to be willing to accept a COVID-19 vaccine, and approximately 80% of individuals were willing to pay a positive amount. Conservative estimates of individuals' mean WTP for the vaccine range from USD 49.81 to USD 68.25 (depending on vaccine characteristics). Both vaccine duration of protection and efficacy were found to influence WTP (p<0.10). Perceived probability of being hospitalized, age, gender, education, location and region of residence, and household income were also found to be associated with WTP for the vaccine (p<0.10). 3","publication_channel":"ResearchGate","link":"https://www.researchgate.net/publication/345177667_The_demand_for_a_COVID-19_vaccine_in_Africa_Evidence_from_Kenya","source_date":"2020-11-01T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S178"},{"source_id":"S179","organisation":"Babcock University","title":"Assessment of Knowledge, Perception and Readiness of Nigerians to Participate in the COVID-19 Vaccine Trial ","details":"The survey was conducted to assess the knowledge, perception and readiness of Nigerians to participate in the COVID-19 vaccine trial. ","authors":"Seyi Samson Enitan, Adesola Oyekunle Oyekale, Richard Yomi Akele, Kayode Abraham Olawuyi, Elisha Oluwatobi Olabisi, Amarachi Joy Nwankit, Esther Ngozi Adejumo, Comfort Bosede Enitan","methodology":"Web-based survey","sample_size":"465","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"This is a cross-sectional, web-based study conducted among the Nigerian populace from the 19th May to the 22nd of May, 2020. A 39-item survey instrument (questionnaire), which required about 7 minutes to complete, was developed using google forms via the Survey Monkey Platform, validated and the internet link distributed randomly to consenting participants from the six geopolitical zones of the country via the social media. Descriptive statistics were carried out using Statistical Package for the Social Sciences Software-Version 25 (SPSS-25) to measure frequencies and percentages of the variables. Bivariate analysis was also conducted using chi-square and bivariate logistic regression, and statistical significance was determined by p<0.05 to identify predictors of Nigerians’ readiness to participate in COVID-19 vaccine trials.","publication_channel":"International Journal of Vaccines and Immunization","link":"http://dx.doi.org/10.16966/2470-9948.123","source_date":"2020-06-12T00:00:00","key_words":"perception","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S179"},{"source_id":"S180","organisation":"Murtala Mohammed Specialist Hospital","title":"Knowledge, attitude and practice survey of COVID-19 pandemic in Northern Nigeria","details":"This study aims To inform effective public health measures through a knowledge, attitude and practice (KAP) survey among a Hausa Muslim society in Nigeria in March 2020.","authors":"Maryam Abdulrazaq Habib, Farouq Muhammad Dayyab, Garba Iliyasu, Abdulrazaq G. Habib","methodology":"Face-to-face interview","sample_size":"886","target_pop":"","scale":"Localized","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The study is an analytic cross-sectional survey with questionnaires administered to the general population including Health Care Workers (HCW) in Kano, Nigeria. Participants wererecruited by convenience sampling following informed consent. The percentage of KAP scores were categorized as good and poor. Independent predictors of good knowledge of\nCOVID 19 were ascertained using a binary logistic regression model.","publication_channel":"PLOS One","link":" https://doi.org/10.1371/journal.pone.0245176","source_date":"2021-01-14T00:00:00","key_words":"knowledge|attitude|practice|vaccination","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S180"},{"source_id":"S181","organisation":"Islamic Azad University Babol Branch","title":"COVID-19 preventive behaviors and influencing factors in the Iranian population; a web-based survey","details":"This cross-sectional study was conducted among the Iranian population. To prevent the spread of COVID-19 through contact, the data we collected through a web-based survey. This web-based survey was broadcasted on the internet through the common platforms used by the Iranian population. ","authors":"Mojgan Firouzbakht, Shabnam Omidvar, Saeedeh Firouzbakht & Arman Asadi-Amoli","methodology":"Web-based survey","sample_size":"2097","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"This cross-sectional study was a web-based survey in the Iranian population. We performed the study during the first peak of COVID-19 outbreak (from March 25th, 2020 to April 5th). We used demographic and Preventive behaviors questionnaires to collect the data. This web-based survey was publicized on the internet through the common platforms used by the Iranian population. This survey was released on the website “Porsline.com”. A total of 2097 acceptable questionnaires were filled. ","publication_channel":"BMC Public Health","link":"https://doi.org/10.1186/s12889-021-10201-4","source_date":"2020-05-23T00:00:00","key_words":"practice","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S181"},{"source_id":"S182","organisation":"Birjand University of Medical Sciences","title":"Investigating Preventive Behaviors Toward COVID-19 Among Iranian People","details":"Considering the importance of preventive behaviors in reducing the transmission of COVID-19, this study was conducted to determine the preventive behaviors toward the spread of COVID-19.","authors":"Fatemeh Baghernezhad Hesary, Hamid Salehiniya, Mohammadreza Miri and Mitra Moodi","methodology":"Web-based survey","sample_size":"1200","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"This cross-sectional study was performed 7 weeks after the confirmation of the first case of Covid-19 by the Ministry of Health and Medical Education in Iran. Data were completed online using a researcher-made questionnaire, the validity and reliability of which were confirmed, for 1,200 Iranians from 8 April 2020 to 9 May 2020.","publication_channel":"Frontiers in Public Health","link":"https://doi.org/10.3389/fpubh.2021.590105","source_date":"2020-07-31T00:00:00","key_words":"practice","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S182"},{"source_id":"S183","organisation":"Egypt Ministry of Health and Population","title":"Rapid assessment of knowledge, attitude, and practices about COVID-19 in Egypt","details":"COVID-19 rapid assessment study was designed to provide information on knowledge, attitudes/perception and practices related to COVID-19 of Egyptians and migrants living in Egypt.","authors":"Egypt MoHP, WHO, UNICEF, IOM, UNFPA and UNDP","methodology":"Misc.","sample_size":"22682","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"The target sample size for the rapid assessment was 5000 respondents, however, in order to calculate 8Results from Egypt Health Issue Survey 2015 indicated that one third of men 15-59 and 17 per cent of women 15-59 use social media. Another recent research conducted among Takaful beneficiaries indicated that among those vulnerable population, accessibility to social media is even lower: 2 per cent among mothers, 8 per cent among fathers, 7 per cent among girls 13-17 and 17 per cent among boys 13-17.\n4|Rapid assessment of knowledge, attitude, and practices about COVID-19 in Egyptsome indicators at governorate level, around 400 respondents were needed to take the survey at governorate level which would require a sample of around 10000 accepted responses (filled forms). Since there is not much control over who is going to take the web-survey administrated via social media, the sample was expected not to be representative for age, urban-rural residence, education and gender. Additionally, ","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/1f8Q-I6-TINLcXoR-pBiWIEArw1a217Yd/view?usp=sharing","source_date":"2020-07-01T00:00:00","key_words":"practice|knowledge|perception|information|migrants|health workers|impact","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S183"},{"source_id":"S184","organisation":"CAPMAS","title":"Measuring the impact of novel COVID_19 virus pandemic on Egyptian households Survey","details":"Today, Saturday, 6/20/2020, Central Agency for Public Mobilization and Statistics (CAPMAS) issued a press release on the occasion of preparing survey of COVID_19 virus to monitor its impact on the Egyptian family life, as CAPMAS realize the importance of monitoring changes that have occurred in society, with a reference period since the beginning of the outbreak of COVID_19 virus by the end of February 2020.","authors":"CAPMAS","methodology":"Phone survey","sample_size":"26000","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"CAPMAS conducted a study to monitor the effect of COVID-19 crisis on Egyptian households and shed light on main problems encountered by HHs. The study was conducted as an annex to the HIECS 2019/20 during the period from end of February to end of May 2020. Telephone interviews were conducted on the same sample of the HIECS.","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/1f53lhnay9E9okH6akw5a_pVuATOwMetr/view?usp=sharing","source_date":"2020-06-20T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S184"},{"source_id":"S185","organisation":"UNICEF","title":"Real Time Monitoring (RTM) of the situation of children and vulnerable populationarising from COVID-19 pandemic in Egypt - Round 2","details":"In May of 2020, the United Nations Children’s Fund (UNICEF) started a collaboration with the Egyptian Center for Public Opinion Research (Baseera) to conduct a series of phone surveys over a period of 8 months to monitor the effect of the coronavirus pandemic (COVID-19) on the lives of poor and vulnerable families and children in Egypt. The surveys are conducted with upwards of 6,400 respondents and focus on collecting data about children’s access to education and learning, protection and mental wellbeing, employment status of members, as well as the family’s access to health services, nutrition, and their livelihoods, as well as the engagement of adolescents and youth.","authors":"Egyptian Center for Public Opinion Research (Baseera), UNICEF","methodology":"Phone survey","sample_size":"1522","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"The sample is selected from the 27 Egyptian governorates, all the interviews in this round were conducted using mobile phones. Mobile numbers were randomly selected from Baseera database according to the respondents’ region, gender and education. Each of the numbers was reached 4 times before it was considered as a non-response case. Statistical weights have been used to remove any bias relating to selection.","publication_channel":"Collective Service","link":"https://drive.google.com/drive/folders/17KLAErcNPxuLIPzvpXQNdbVbCSS-odil?usp=sharing","source_date":"2020-10-01T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S185"},{"source_id":"S186","organisation":"UNICEF","title":"Real Time Monitoring (RTM) of the situation of children and vulnerable populationarising from COVID-19 pandemic in Egypt - Round 1","details":"The United Nations Children’s Fund (UNICEF) Egypt started a collaboration with the Egyptian Center for Public Opinion Research (Baseera), in May 2020, to conduct a series of phone surveys over a period of 8 months that would monitor the effect of the COVID-19 pandemic on the lives of poor and vulnerable families, children, and refugees in Egypt. The surveys altogether will cover 6,400 respondents and will focus on collecting data about children’s access to education and learning, protection and mental wellbeing, employment status of members, as well as the family’s access to health services, nutrition, and their livelihoods, as well as the engagement of adolescents and youth.","authors":"Egyptian Center for Public Opinion Research (Baseera), UNICEF","methodology":"Phone survey","sample_size":"1618","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"The sample is selected from the 27 Egyptian governorates, all the interviews in this round were conducted using mobile phones. Mobile numbers were randomly selected from Baseera database according to the respondents’ region, gender and education. Each of the numbers was reached 4 times before it was considered as a non-response case. Statistical weights have been used to remove any bias relating to selection.","publication_channel":"Collective Service","link":"https://drive.google.com/drive/folders/17KLAErcNPxuLIPzvpXQNdbVbCSS-odil?usp=sharing","source_date":"2020-07-01T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S186"},{"source_id":"S187","organisation":"Carnegie","title":"Global Protest Tracker","details":"Carnegie’s Global Protest Tracker aims to analyze and compare the triggers, motivations, and other aspects of many of the most significant antigovernment protests since 2017. Designed for researchers, decisionmakers, and journalists, this comprehensive resource helps illustrate how protests impact today’s global politics.","authors":"Carnegie","methodology":"","sample_size":"","target_pop":"","scale":"Multi-country","quality_check":"","impact_factor":"","access_type":"Dataset","source_comment":"The data are based on reporting from credible news sources, with some cross-referencing for verification when possible. Publications and television outlets used to compile this data include (but are not limited to) Al Jazeera, the Atlantic, Balkan Insight, BBC, Bloomberg, CNN, DW News, the Economist, Euronews, Financial Times, Foreign Affairs, Foreign Policy, France24, the Guardian, the Nation, NBC News, New York Times, NPR, Reuters, Radio Free Europe/Radio Liberty, Vox, Wall Street Journal, Washington Post, and World Politics Review.","publication_channel":"Carnegie","link":"https://carnegieendowment.org/publications/interactive/protest-tracker","source_date":null,"key_words":"","source_status":"Identified","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S187"},{"source_id":"S188","organisation":"Kaiser Family Foundation (KFF)","title":"KFF COVID-19 Vaccine Monitor","details":"The KFF COVID-19 Vaccine Monitor is an ongoing research project tracking the public’s attitudes and experiences with COVID-19 vaccinations. Using a combination of surveys and qualitative research, this project tracks the dynamic nature of public opinion as vaccine development and distribution unfold, including vaccine confidence and acceptance, information needs, trusted messengers and messages, as well as the public’s experiences with vaccination.","authors":"Liz Hamel, Lunna Lopes, Audrey Kearney, and Mollyann Brodie","methodology":"Phone survey","sample_size":"1862","target_pop":"","scale":"National","quality_check":"","impact_factor":"","access_type":"Report","source_comment":"Phone numbers used for this study were randomly generated from cell phone and landline sampling frames, with an overlapping frame design, and disproportionate stratification aimed at reaching Hispanic and non-Hispanic Black respondents. Stratification was based on incidence of the race/ethnicity subgroups within each frame. The sample also included 190 respondents reached by calling back respondents that had previously completed an interview on the KFF Health Tracking Poll at least nine months ago. Another 402 interviews were completed with respondents who had previously completed an interview on the SSRS Omnibus poll (and other RDD polls) and identified as Hispanic (n = 178; including 63 in Spanish) or non-Hispanic Black (n=224). Computer-assisted telephone interviews conducted by landline (356) and cell phone (1,506, including 1,093 who had no landline telephone) were carried out in English and Spanish by SSRS of Glen Mills, PA. To efficiently obtain a sample of lower-income and non-","publication_channel":"KFF","link":"https://www.kff.org/coronavirus-covid-19/poll-finding/kff-covid-19-vaccine-monitor-march-2021/","source_date":"2021-03-30T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S188"},{"source_id":"S189","organisation":"Kekst CNC","title":"COVID-19 Opinion Tracker","details":"Kekst CNC is monitoring the COVID-19 events in real time, and we have compiled resources to help our clients communicate in a timely and effective way with employees, customers, investors and other key stakeholders around the world.","authors":"Kekst CNC","methodology":"Undefined","sample_size":"6000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Sample of 1000 respondents in each country (France,Quotas and weights on gender, age, and region in each country","publication_channel":"Kekst CNC","link":"https://www.kekstcnc.com/insights/covid-19-opinion-tracker-edition-7","source_date":"2021-03-01T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S189"},{"source_id":"S190","organisation":"YouGov","title":"YouGov - International COVID-19 vaccine attitudes","details":"","authors":"","methodology":"Web-based survey","sample_size":"","target_pop":"","scale":"Multi-country","quality_check":"","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"YouGov","link":"https://yougov.co.uk/topics/health/articles-reports/2021/01/15/international-study-how-many-people-will-take-covi?utm_source=twitter&utm_medium=website_article&utm_campaign=intl_vaccine_willingness","source_date":"2021-01-01T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S190"},{"source_id":"S191","organisation":"Harbin Medical University","title":"The impacts of knowledge, risk perception, emotion and information on citizens’ protective behaviors during the outbreak of COVID-19: a cross-sectional study in China","details":"","authors":"","methodology":"Web-based survey","sample_size":"20000","target_pop":"","scale":"National","quality_check":"","impact_factor":"","access_type":"Paper, Brief","source_comment":"Some detail on: https://mp.weixin.qq.com/s/kfqQE__oq3t1sCkwJXD-AA","publication_channel":"NPR","link":"https://www.npr.org/sections/goatsandsoda/2021/02/03/963264535/chinas-vaccine-campaign-hits-a-few-bumps?t=1619528431741","source_date":"2021-02-01T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S191"},{"source_id":"S192","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Cote d’Ivoire - 2020-08-19","details":"This report aims to inform policy decisions in Cote d’Ivoire that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Cote d’Ivoire—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1416","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,416 adults (819 urban, 597 rural) in Côte d’Ivoire between 3-18 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-cote-divoire.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S192"},{"source_id":"S193","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Democratic Republic of the Congo - 2020-08-19","details":"This report aims to inform policy decisions in DRC that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in DRC—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1351","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,351 adults (725 urban, 626 rural) in Democratic Republic of the Congo between 6-17 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-democratic-republic-of-the-congo-1.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S193"},{"source_id":"S194","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Egypt - 2020-08-19","details":"This report aims to inform policy decisions in Egypt that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Egypt—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1206","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":" Ipsos conducted telephone poll of a nationally representative sample of 1,206 adults (548 urban, 658 rural) in Egypt between 12-19 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences maybe reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-egypt.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S194"},{"source_id":"S195","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Ethiopia - 2020-08-19","details":"This report aims to inform policy decisions in Ethiopia that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Ethiopia—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1571","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,571 adults (615 urban, 956 rural) in Ethiopia between 3-13 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-ethiopia.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S195"},{"source_id":"S196","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Ghana - 2020-08-19","details":"This report aims to inform policy decisions in Ghana that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Ghana—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1338","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,338 adults (663 urban, 675 rural) in Ghana between 3-16 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-ghana.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S196"},{"source_id":"S197","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Guinea - 2020-08-19","details":"This report aims to inform policy decisions in Guinea that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Guinea—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1283","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,283 adults (642 urban, 641 rural) in Guinea between 6-18 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences maybe reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-guinea.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S197"},{"source_id":"S198","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Kenya - 2020-08-19","details":"This report aims to inform policy decisions in Kenya that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Kenya—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1224","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,224 adults (332 urban, 892 rural) in Kenya between 6-13 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences maybe reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-kenya.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S198"},{"source_id":"S199","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Liberia - 2020-08-19","details":"This report aims to inform policy decisions in Liberia that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Liberia—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1366","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,366 adults (713 urban, 653 rural) in Liberia between 5-16 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences maybe reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-liberia.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S199"},{"source_id":"S200","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Mozambique - 2020-08-19","details":"This report aims to inform policy decisions in Mozambique that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Mozambique—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1314","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,314 adults (536 urban, 778 rural) in Mozambique between 3-17 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-mozambique.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S200"},{"source_id":"S201","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Nigeria - 2020-08-19","details":"This report aims to inform policy decisions in Nigeria that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Nigeria—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1304","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,304 adults (582 urban, 722 rural) in Nigeria between 3-17 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences maybe reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-nigeria.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S201"},{"source_id":"S202","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Senegal - 2020-08-19","details":"This report aims to inform policy decisions in Senegal that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Senegal—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1259","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,259 adults (562 urban, 697 rural) in Senegal between 3-17 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-senegal.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S202"},{"source_id":"S203","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in South Africa - 2020-08-19","details":"This report aims to inform policy decisions in South Africa that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Cote d’Ivoire—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1395","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,395 adults (806 urban, 589 rural) in South Africa between 3-17 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-south-africa.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S203"},{"source_id":"S204","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Sudan - 2020-08-19","details":"This report aims to inform policy decisions in Sudan that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Sudan—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1438","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,438 adults (686 urban, 752 rural) in Sudan between 5-15 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences maybe reconciled by investigating the denominator used, as indicated in each instance of use","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-sudan.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S204"},{"source_id":"S205","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Tunisia - 2020-08-19","details":"This report aims to inform policy decisions in Tunisia that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Tunisia—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1218","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,218 adults (821 urban, 397 rural) in Tunisia between 3-12 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-tunisia.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S205"},{"source_id":"S206","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Uganda - 2020-08-19","details":"This report aims to inform policy decisions in Uganda that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Uganda—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1286","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,286 adults (309 urban, 977 rural) in Uganda between 3-12 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-uganda.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S206"},{"source_id":"S207","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Zambia - 2020-08-19","details":"This report aims to inform policy decisions in Zambia that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Zambia—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources. ","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1290","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,290 adults (532 urban, 758 rural) in Zambia between 4-14 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-zambia.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S207"},{"source_id":"S208","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Cameroon - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,323 people conducted in February 2021 in Cameroon.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1323","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Cameroon consisted of 1,323 adults (689 urban, 634 rural), collected between 12 to 23 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/cameroon_en_20210316_2100.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S208"},{"source_id":"S209","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Cote d'Ivoire - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,397 people conducted in February 2021 in Cote d'Ivoire.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1397","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Cote d'Ivoire consisted of 1,397 adults (663 urban, 734 rural), collected between 13 to 23 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/cotedivoire_en_20210323_1720.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S209"},{"source_id":"S210","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in DRC - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,316 people conducted in February 2021 in DRC.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1316","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from DRC consisted of 1,316 adults (684 urban, 632 rural), collected between 11 to 20 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/drc_en_20210317_1119.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S210"},{"source_id":"S211","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Egypt - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,409 people conducted in February 2021 in Egypt.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1409","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Egypt consisted of 1,409 adults (626 urban, 783 rural), collected between 11 to 23 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/egypt_en_20210316_2047.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S211"},{"source_id":"S212","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Ethiopia - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,483 people conducted in February 2021 in Ethiopia.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1483","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Ethiopia consisted of 1,483 adults (396 urban, 1087 rural), collected between 12 to 22 February 2021","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/ethiopia_en_20210323_1721.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S212"},{"source_id":"S213","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Ghana - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,298 people conducted in February 2021 in Ghana.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1298","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Ghana consisted of 1,298 adults (660 urban, 638 rural), collected between 12 to 21 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/ghana_en_20210323_1721.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S213"},{"source_id":"S214","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Guinea - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,302 people conducted in February 2021 in Guinea.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1302","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Guinea consisted of 1,302 adults (546 urban, 756 rural), collected between 12 to 23 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/guineaconakry_en_20210323_1720.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S214"},{"source_id":"S215","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Kenya - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,461 people conducted in February 2021 in Kenya.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1461","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Kenya consisted of 1,461 adults (542 urban, 919 rural), collected between 12 to 22 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/kenya_en_20210323_1825.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S215"},{"source_id":"S216","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Liberia - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,313 people conducted in February 2021 in Liberia.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1313","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Liberia consisted of 1,313 adults (746 urban, 567 rural), collected between 13 to 25 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/liberia_en_20210323_1721.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S216"},{"source_id":"S217","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Morocco - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,238 people conducted in February 2021 in Morocco.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1238","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Morocco consisted of 1,238 adults (742 urban, 496 rural), collected between 12 to 23 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/morocco_en_20210316_2047.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S217"},{"source_id":"S218","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Mozambique - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,333 people conducted in February 2021 in Mozambique.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1333","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Mozambique consisted of 1,333 adults (528 urban, 458 rural), collected between 9 to 22 February 2021","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/mozambique_en_20210316_2046.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S218"},{"source_id":"S219","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Nigeria - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,318 people conducted in February 2021 in Nigeria.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1318","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Nigeria consisted of 1,318 adults (600 urban, 718 rural), collected between 13 to 23 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/nigeria_en_20210323_1721.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S219"},{"source_id":"S220","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Senegal - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,353 people conducted in February 2021 in Senegal.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1353","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Senegal consisted of 1,353 adults (614 urban, 739 rural), collected between 13 to 24 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/senegal_en_20210323_1720.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S220"},{"source_id":"S221","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in South Africa - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,639 people conducted in February 2021 in South Africa.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1639","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from South Africa consisted of 1,639 adults (774 urban, 363 rural), collected between 10 to 19 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/southafrica_en_20210316_2046.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S221"},{"source_id":"S222","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Sudan - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,380 people conducted in February 2021 in Sudan.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1380","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Sudan consisted of 1,380 adults (558 urban, 822 rural), collected between 15 to 23 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/sudan_en_20210323_1724.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S222"},{"source_id":"S223","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Tunisia - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,246 people conducted in February 2021 in Uganda.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1219","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Tunisia consisted of 1,219 adults (818 urban, 401 rural), collected between 11 to 21 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/tunisia_en_20210316_2047.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S223"},{"source_id":"S224","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Uganda - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,219 people conducted in February 2021 in Tunisia.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1246","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Uganda consisted of 1,246 adults (257 urban, 989 rural), collected between 13 to 19 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/uganda_en_20210323_1721.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S224"},{"source_id":"S225","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Zambia - 2021-02-26","details":"This report aims to examine how people respond to public health and social measures (PHSMs) to prevent COVID-19 from a telephone survey with 1,328 people conducted in February 2021 in Zambia.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1328","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted a telephone survey of a nationally representative sample of households with access to a landline or cell phone. Results should be interpreted with caution as populations without access to a phone are not represented in the findings. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of these data. Differences may be reconciled by investigating the denominator and/or weights used. The survey sampled from Zambia consisted of 1,328 adults (546 urban, 782 rural), collected between 9 to 18 February 2021.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2021/03/zambia_en_20210316_2046.pdf","source_date":"2021-02-26T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S225"},{"source_id":"S226","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Cote d’Ivoire: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Cote d’Ivoire to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1036","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted an in-person poll of 1,036 adults in Abidjan between April 1 and April 4.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/CotedIvoire_perc-countrybrief_mobility.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S226"},{"source_id":"S227","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Guinea: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Guinea to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1034","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,034 adults in Conakry between April 2 and April 5. ","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/Guinea_perc-countrybrief_mobility.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S227"},{"source_id":"S228","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Liberia: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Liberia to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1059","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,059 adults in Monrovia between April 4 and April 7, 2020.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/Liberia_perc-countrybrief_mobility.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S228"},{"source_id":"S229","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Mozambique: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Mozambique to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1057","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted an in-person poll of 1,057 adults in Maputo between March 29 and April 3","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/Mozambique_perc-countrybrief_mobility.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S229"},{"source_id":"S230","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in South Africa: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in South Africa to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1099","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of adults in three urban and peri-urban areas of South Africa (463 in Johannesburg, 331 in Pretoria, and 305 in Durban) between April 2 and April 6, 2020.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situational-analysis_south-africa.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S230"},{"source_id":"S231","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Cameroon: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Cameroon to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1042","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted an in-person survey of 1,042 adults in Yaoundé between March 31 and April 3, 2020. ","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_cameroon.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S231"},{"source_id":"S232","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in DRC: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in DRC to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1009","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,009 adults in two urban and peri-urban areas of DRC (708 in Kinshasa and 301 Goma) between April 1 and April 4, 2020","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_drc.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S232"},{"source_id":"S233","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Egypt: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Egypt to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1098","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,098 adults in Cairo between March 30 and April 3, 2020. A","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_egypt.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S233"},{"source_id":"S234","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Ethiopia: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Ethiopia to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1021","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted an in-person survey of 1,021 adults in Addis Ababa between March 29 and April 1, 2020.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_ethiopia.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S234"},{"source_id":"S235","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Ghana: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Ghana to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1001","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,001 adults in Accra between March 29 and April 1, 2020. ","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_ghana.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S235"},{"source_id":"S236","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Kenya: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Kenya to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1031","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,031 adults in two urban and peri-urban areas of Kenya (822 in Nairobi and 209 in Mombasa) between March 29 and April 1, 2020","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_kenya.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S236"},{"source_id":"S237","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Morocco: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Morocco to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1045","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,045 adults in two urban and peri-urban areas of Morocco (450 in Rabat and 595 in Casablanca) between April 1 and April 17, 2020.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_morocco.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S237"},{"source_id":"S238","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Nigeria: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Nigeria to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1068","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,068 adults in three urban and peri-urban areas of Nigeria (513 in Lagos, 110 in Abuja, and 445 in Kano) between March 30 and April 2, 2020.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_nigeria.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S238"},{"source_id":"S239","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Senegal: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Senegal to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1039","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,039 adults in Dakar between April 1 and April 4, 2020","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_senegal.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S239"},{"source_id":"S240","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Sudan: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Sudan to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1101","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,101 adults in Khartoum between March 30 and April 2, 2020.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_sudan.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S240"},{"source_id":"S241","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Tanzania: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Tanzania to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1103","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,103 adults in two urban and peri-urban areas of Tanzania (842 in Dar es Salaam and 261 in Zanzibar) between March 30 and April 2, 2020.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_tanzania.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S241"},{"source_id":"S242","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Uganda: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Uganda to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1073","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,073 adults in Kampala between March 29 and April 1, 2020","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/perc_situation-analysis_uganda.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S242"},{"source_id":"S243","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Tunisia: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Tunisia to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1001","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,001 adults in Tunis between April 2 and April 15.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/Tunisia_perc-countrybrief_mobility.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S243"},{"source_id":"S244","organisation":"PERC","title":"Effective Implementation of Public Health and Social Measures in Zambia: Situational Analysis","details":" This situational analysis, based on publicly available data and a recent phone survey, aims to inform efforts in Zambia to balance PHSMs to mitigate COVID-19 with other priorities, including public acceptance and social impacts.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1035","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Market research firm Ipsos conducted a telephone poll of 1,035 adults in Lusaka between March 30 and April 2, 2020","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/05/Zambia_perc-countrybrief_mobility.pdf","source_date":"2020-04-30T00:00:00","key_words":"information|impact|stigma|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S244"},{"source_id":"S245","organisation":"Imperial College London","title":"Imperial College London YouGov Covid 19 Behaviour Tracker Data Hub","details":"YouGov has partnered with the Institute of Global Health Innovation (IGHI) at Imperial College London to gather global insights on people’s behaviours in response to COVID-19. The research will cover 29 countries, interviewing around 21,000 people each week.","authors":"Jones, Sarah P., Imperial College London Big Data Analytical Unit and YouGov Plc","methodology":"Web-based survey","sample_size":"","target_pop":"","scale":"Multi-country","quality_check":"","impact_factor":"","access_type":"Dataset","source_comment":"The datafiles contain responses from nationally representative surveys of the general public about symptoms, testing, self-isolation, social distancing and behaviour. Contextual data includes: gender, age, region (within country), number of people in the household, children in household, health conditions, working status and the date of the survey response. A weighting variable is also provided, typically based on age, gender and region. For obvious reasons, people with severe symptoms, people who are / have been hospitalised and some other hard to reach groups will be under-represented in the sample.","publication_channel":"YouGov","link":"https://github.com/YouGov-Data/covid-19-tracker/tree/master/data","source_date":"2020-04-30T00:00:00","key_words":"effectiveness","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S245"},{"source_id":"S246","organisation":"Edelman","title":"2021 Edelman Trust Barometer ","details":"The 2021 Edelman Trust Barometer is the firm’s 21st annual trust and credibility survey. ","authors":"Edelman","methodology":"Web-based survey","sample_size":"33000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Online survey in 28 countries 33,000+ respondents. The survey was powered by research firm Edelman Data & Intelligence (DxI) and consisted of 30-minute online interviews conducted between October 19 and November 18, 2020. The 2021 Edelman Trust Barometer online survey sampled more than 33,000 respondents, which includes 1,150 general population respondents across 28 countries and 200 informed public respondents in each country, except China and the U.S., which have a sample of 500 informed public respondents each and Nigeria which has 100 informed public respondents. All informed public respondents met the following criteria: aged 25-64, college-educated; household income in the top quartile for their age in their country; read or watch business/news media at least several times a week; follow public policy issues in the news at least several times a week.","publication_channel":"Edelman","link":"https://www.edelman.com/trust/2021-trust-barometer","source_date":"2021-01-01T00:00:00","key_words":"vaccination|trust","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S246"},{"source_id":"S247","organisation":"Mind and Behaviour Research Group","title":"Perceptions of an Insufficient Government Response at the Onset of the COVID-19 Pandemic are Associated with Lower Mental Well-Being","details":"This study conducted a large-scale survey covering 58 countries (N = 108,075) at the onset of the COVID-19 pandemic to explore how beliefs about citizens’ and government’s response to the COVID-19 pandemic, and the actions taken by governments, affected mental well-being. ","authors":"Fetzer, Thiemo, Marc Witte, Lukas Hensel, Jon Jachimowicz, Johannes Haushofer, Andriy Ivchenko, Stefano Caria, et al.","methodology":"Web-based survey","sample_size":"108075","target_pop":"","scale":"Multi-country","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"We conducted a large-scale survey covering 58 countries, including many low- and middle-income countries at the onset of the COVID-19 pandemic (between March 20th and April 7th 2020). The survey was distributed globally using traditional and social media. In total 108,075 respondents responded to our survey during this time period. In the survey we elicit perceptions of the behavior of fellow citizens, governments, and respondents’ personality traits and mental well-being. To (partially) account for the selected nature of our sample we reweight our sample to be representative in terms of age, gender, income, and education.","publication_channel":"Mind and Behaviour Research Group","link":"https://mbrg.bsg.ox.ac.uk/mind-and-behaviour-projects/perceptions-insufficient-government-response-onset-covid-19-pandemic","source_date":"2020-04-01T00:00:00","key_words":"trust|practice|efficiency","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S247"},{"source_id":"S248","organisation":"PERC","title":"Finding the Balance: Public Health and Social Measures in Cameroon - 2020-08-19","details":" This brief aims to inform policy decisions in Cameroon that balance the benefit of PHSMs for reducing transmission with other priorities, including economic and social impacts. It is based on the review, synthesis and analysis of data illuminating different dimensions of COVID-19 in Cameroon—including a nationally representative telephone poll, media monitoring, epidemiological data and other publicly available data sources.","authors":"African Union, Africa CDC, Ipsos, LSHTM, Novetta, Resolve, World Economic Forum, WHO","methodology":"Phone survey","sample_size":"1449","target_pop":"","scale":"National","quality_check":"","impact_factor":"","access_type":"Report","source_comment":"Ipsos conducted telephone poll of a nationally representative sample of 1,449 adults (640 urban, 809 rural) in Cameroon between 3-18 August. The percentages reported in Ipsos charts may be different from percentages reported in other PERC products and communication of this data. Differences may be reconciled by investigating the denominator used, as indicated in each instance of use.","publication_channel":"PERC","link":"https://preventepidemics.org/wp-content/uploads/2020/09/09082020-cameroon.pdf","source_date":"2020-08-19T00:00:00","key_words":"perception|trouble|impact|practice|stigma|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S248"},{"source_id":"S249","organisation":"Verde","title":"COVID-19 – shaping of a new lifestyle & anticipating the after","details":"This survey by VERDE was undertaken during confinement period via a panel survey which allowed for respondents to participate by using their smart phones and an online survey administered using VERDE’s database. The report is intended to provide the population and business leaders with a perspective on the current situation and its impact on lifestyle, possible implications for retailers and how consumers are likely to behave in the coming months.","authors":"Verde","methodology":"Misc.","sample_size":"400","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"The sample of 400 peole surveyed was representative of the population by age, gender and district. The data collection was undertaken from the 23rd to the28th March 2020, during the confinement period. The survey was administered by using VERDE’s (1) panel of respondents with phone survey capabilities and (2) online, using an extensive e-mailing database of industry leaders, professionals and business people.","publication_channel":"Verde","link":"https://cdn2.hubspot.net/hubfs/325431/VERDE%20Exclusive%20Survey%20on%20Covid%2019%20v4GeoPoll.pdf","source_date":"2020-03-01T00:00:00","key_words":"preception|practice|trust","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S249"},{"source_id":"S250","organisation":"OECD","title":"Trust in government","details":"Trust in government refers to the share of people who report having confidence in the national government. The data shown reflect the share of respondents answering “yes” (the other response categories being “no”, and “don’t know”) to the survey question: “In this country, do you have confidence in… national government? ","authors":"OECD","methodology":"Undefined","sample_size":"","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Dataset","source_comment":"Due to small sample sizes, country averages for horizontal inequalities (by age, gender and education) are pooled between 2010-18 to improve the accuracy of the estimates. The sample is ex ante designed to be nationally representative of the population aged 15 and over. This indicator is measured as a percentage of all survey respondents. Data are derived from the Gallup World Poll (GWP), which uses a statistically representative sample, generally of about 1 000 citizens in each country. ","publication_channel":"OECD","link":"https://data.oecd.org/gga/trust-in-government.htm","source_date":"2020-03-01T00:00:00","key_words":"trust","source_status":"Processed","frequency":"","sample_type":"","insert_date":"2021-09-28T00:00:00","data_key":"S250"},{"source_id":"S251","organisation":"Edelman","title":"2020 Edelman Trust Barometer - Spring Update: Trust and the Covid-19 Pandemic","details":"The 2020 Edelman Trust Barometer update is measuring the average percent trust in NGOs, business, government and media. This update aims to compare trust index between early 2020 and trust during COVID-19 (may).","authors":"Edelman","methodology":"Web-based survey","sample_size":"13200","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Online survey in 11 countries: Canada, China, France, Germany, India, Japan, Mexico, Saudi Arabia, S. Korea, U.K. and U.S. 13,200+ respondents total. All fieldwork was conducted between\nApril 15 and April 23, 2020","publication_channel":"Edelman","link":"https://www.edelman.com/sites/g/files/aatuss191/files/2020-05/2020%20Edelman%20Trust%20Barometer%20Spring%20Update.pdf","source_date":"2020-05-01T00:00:00","key_words":"trust","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S251"},{"source_id":"S252","organisation":"Arab Barometer","title":"The Arab World’s Trust in Government and the Perils of Generalization","details":"It is no secret that the Arab World has had a prolonged and sustained crisis in governance. This crisis was the primary driver behind the massive protest wave that swept through Arab countries beginning in 2011, leading to political instability and regime collapse, which is still reverberating today. Thus, the questions of trust in government and evaluation of governance are perennially relevant for Arab publics.","authors":"Arab Barometer","methodology":"Misc.","sample_size":"75000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Paper, Brief","source_comment":"Sampling strategies vary by country, but it is a requirement that probability samples are drawn. In general, the sampling strategies in each country ensure that every eligible respondent in the country has a known and calculable probability of being included in the sample that is unequal to zero. Most countries apply multistage sampling methods based on stratification. Stratified sampling aims to better represent certain homogenous groups within a population, such as regions. Arab Barometer surveys are generally stratified by governorate (or similar regional characteristic) and sub-stratified by type of settlement (urban/rural). Due to the Covid pandemic, the sixth wave included alternative modes including phone surveys (CATI) and web surveys. See more on: https://www.arabbarometer.org/survey-data/methodology/","publication_channel":"Arab Barometer","link":"https://www.arabbarometer.org/2020/06/the-arab-worlds-trust-in-government-and-the-perils-of-generalization/","source_date":"2020-06-01T00:00:00","key_words":"trust","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S252"},{"source_id":"S253","organisation":"PEW Research Center","title":"As Pandemic Continues, More in U.S. and Europe Feel Major Impact on Their Lives","details":"This report examines people’s views of whether their country has handled the outbreak well, the degree of change in their daily lives due to the virus, attitudes toward government-mandated vaccines and optimism about future global health crisis responses. The survey also includes a measure of trust in the four countries’ national governments: How much do respondents trust the government “to do what is right for their country?”","authors":"PEW Research Center","methodology":"Phone survey","sample_size":"4069","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Poll run by Gallup - List-assisted Random Digit Dial (RDD) probability sample of landline households stratified by region (NUTS2), and Random Digit Dial (RDD) probability sample of cell phone users.","publication_channel":"PEW Research","link":"hthttps://www.pewresearch.org/global/2021/02/03/as-pandemic-continues-more-in-u-s-and-europe-feel-major-impact-on-their-lives/","source_date":"2021-03-31T00:00:00","key_words":"trust","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S253"},{"source_id":"S254","organisation":"UNICEF","title":"What Drives Compliance with COVID-19 Recommendations in Kyrgyzstan?","details":"In this project, a behavioural analytic approach was applied to detect implicit, or nonconscious, drivers of behaviour. UNICEF’s Kyrgyzstan Country office partnered with researchers at Duke University’s Center for Advanced Hindsight to co-create a survey focused on self-reported compliance with public health measures, intentions to comply in the future, and factors possibly correlated with compliance such as perceived risk, social norms, and ease of following public health measures. ","authors":"UNICEF Kyrgyzstan, Duke Center for Advanced Hindsigths","methodology":"Phone survey","sample_size":"1000","target_pop":"","scale":"National","quality_check":"","impact_factor":"","access_type":"Report","source_comment":"Partnered with UNICEF ECARO and Kyrgyzstan country office to develop phone survey to better understand COVID-19 perception and behavior. Rebicon administered survey to 1,000 respondents using Computer Assisted Telephone Interviewing (CATI) methodology; respondents were either sourced from an established. Rebicon database or from randomly generated phone numbers. ","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/1gdxHrmaKxqCavfMPs0Tsz6q9tv_CCZCB/view?usp=sharing","source_date":"2021-04-06T00:00:00","key_words":"perception; practice; information; trust","source_status":"Processed","frequency":"","sample_type":"Simple random sample","insert_date":"2021-09-28T00:00:00","data_key":"S254"},{"source_id":"S255","organisation":"University of Chieti-Pescara","title":"Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries","details":"The present research compares in a cross-cultural vein the effectiveness of institutional communications about COVID-19, depending on the emphasis these place on individualizing vs binding moral foundations.","authors":"Pagliaro S, Sacchi S, Pacilli MG, Brambilla M, Lionetti F, Bettache K, et al.","methodology":"Web-based survey","sample_size":"6948","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Participants have been recruited using convenience sampling by distributing the survey on social networking sites, and/or via Prolific Academic. Argentina (N = 260), Australia (N = 303), Bangladesh (N = 304), Bosnia (N = 238), Chile (N = 319), China (N = 397), Finland (N = 300), France (N = 239), Germany (N = 352), Greece (N = 299), Ireland (N = 316), Italy (N = 350), Malaysia (N = 179), Netherlands (N = 320), Poland (N = 314), Romania (N = 381), Russia (N = 317), South Korea (N = 130), Spain (N = 320), Switzerland (N = 351), Turkey (N = 300), UK (N = 300), and US (N = 359). The total sample comprised 6,948 participants (3,806 women, 2,785 men, 85 non-binary or other, 272 missing; Mage = 34.22, SDage = 15.13) ","publication_channel":"PLOS One","link":"https://doi.org/10.1371/journal.pone.0248334","source_date":"2021-03-10T00:00:00","key_words":"trust","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S255"},{"source_id":"S256","organisation":"Jinan University","title":"The comparison of vaccine hesitancy of COVID-19 vaccination in China and the United States","details":"To investigate the differences in vaccine hesitancy and preference of the currently available COVID-19 vaccines between two countries, viz. China and the United States (US).","authors":"Taoran Liu, Zonglin He, Jian Huang, Ni Yan, Qian Chen, Fengqiu Huang, Yuejia Zhang, Omolola M Akinwunmi, Babatunde Akinwunmi, Casper J.P Zhang, Yibo Wu, Wai-Kit Ming","methodology":"Web-based survey","sample_size":"9077","target_pop":"","scale":"Multi-country","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"An anonymous self-administered cross-sectional survey was conducted online in China and the US through multiple international online panel providers (for data collecting in the US) and recruited volunteers across China (for data collecting in China), and stratified sampling was used, and nationally representative samples of the general adult populations were collected.\nRespondents were randomly recruited and selected through multiple international online panel providers (MTurk and Dynata) and by nearly 100 experienced volunteers recruited across China using a stratified sampling method. No personally identifiable information was collected. A total of 12,959 respondents was recruited, with a total of 9077 respondents (5,375 and 3,702 respondents from China and the US respectively) included in our study. ","publication_channel":"medRxiv","link":"https://doi.org/10.1101/2021.04.29.21256317 ","source_date":"2021-05-02T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S256"},{"source_id":"S257","organisation":"United Arab Emirates University","title":"Impact of COVID-19 on mental health and quality of life: Is there any effect? A cross-sectional study of the MENA region","details":"The purpose of this study was to assess the effect of the pandemic on mental health and quality of life among the general population in the Middle East and North Africa (MENA) region.","authors":"Al Dhaheri AS, Bataineh MF, Mohamad MN, Ajab A, Al Marzouqi A, Jarrar AH, et al.","methodology":"Web-based survey","sample_size":"6142","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"A cross-sectional, web-based survey was conducted in the MENA region between 11 May 2020 and 15 June 2020. The sample was drawn from eighteen countries within the MENA region; including Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Republic of Yemen, Saudi Arabia, Sudan, Syria, Tunisia, and United Arab Emirates. Consenting adults aging 18 years and older were recruited electronically using convenience and snowball sampling methods in order to guarantee a large-scale distribution and recruitment of participants. There was no restriction on the total number of participants, however a minimum target of 100 participants from each country was desired. A total of 6142 participants (32.7% males) completed the survey and their data were included in the analysis.","publication_channel":"PLOS One","link":"https://doi.org/10.1371/journal.pone.0249107","source_date":"2021-03-25T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Misc.","insert_date":"2021-09-28T00:00:00","data_key":"S257"},{"source_id":"S258","organisation":"New Bulgarian University","title":"Perceived Effectiveness, Restrictiveness, and Compliance with Containment Measures against the Covid-19 Pandemic: An International Comparative Study in 11 Countries","details":"We aimed to assess how effective citizens perceive these measures, which measures are perceived as violation of citizens’ personal freedoms, which opinions and demographic factors have an effect on compliance with the measures, and what governments can do to most effectively improve citizens’ compliance. ","authors":"Irina Georgieva, Tella Lantta, Jakub Lickiewicz, Jaroslav Pekara, Sofia Wikman, Marina Losevi?a, Bevinahalli Nanjegowda Raveesh, Adriana Mihai, and Peter Lepping","methodology":"Web-based survey","sample_size":"9942","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"An online survey was developed via the online platform Typeform for the use in 11 countries, which was translated by the authors into 9 relevant languages. The first assessment was completed by 9942 people from 11 countries. Some people have completed the survey multiple times, therefore only the first completion was retained, reducing the number of respondents to 9543 unique responses: UK UK (N = 653), Belgium BE (N = 374), Netherlands (NL, N = 864), Bulgaria (BG, N = 1868), Czech Republic (CZ, N = 723), Finland (FI, N = 542), India (IN, N = 779), Latvia (LV, N = 643), Poland (PL, N = 1008), Romania (RO, N = 1504), and Sweden (SE, N = 585). The follow-up assessment was completed on average 68 days after the first assessment by 1926 respondents. Data were collected via authors’ personal networks and via Facebook advertising. In order to reach more people and to overcome the limited demographic representation on Facebook, we created a website for the project: www.impact-covid19.com","publication_channel":"International Journal of Environemental Research and Public Health","link":"https://dx.doi.org/10.3390%2Fijerph18073806","source_date":"2021-04-06T00:00:00","key_words":"efficacy","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S258"},{"source_id":"S259","organisation":"UiT The Arctic University of Norway","title":"Perceived efficacy of COVID-19 restrictions, reactions and their impact on mental health during the early phase of the outbreak in six countries","details":"In a pre-registered online survey, the study assessed how effective a range of restrictions were perceived, how severely they affected daily life, general distress and paranoia during the early phase of the outbreak in Brazil, Colombia, Germany, Israel, Norway and USA.","authors":"Martin Jensen Mækelæ, Niv Reggev, Natalia Dutra, Ricardo M. Tamayo, Reinaldo A. Silva-Sobrinho, Kristoffer Klevjer and Gerit Pfuhl","methodology":"Web-based survey","sample_size":"2200","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The authors designed a survey in eight different languages: Arabic, Brazilian Portuguese, English, German, Hebrew, Italian, Latin-American Spanish and Norwegian. The English, German and Norwegian survey was distributed online on 12 March and closed on 25 March. The survey opened in Israel (Hebrew) on 16 March, closed 25 March, opened in Israel (Arabic) and in South America on 20 March, closed on 30 March (08.00 UTC). The survey was distributed on social media websites and messaging programs using a snowball sampling method. ","publication_channel":"Royal Society Open Science","link":"https://doi.org/10.1098/rsos.200644","source_date":"2020-08-12T00:00:00","key_words":"efficacy|perception","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S259"},{"source_id":"S260","organisation":"Ruhr-Universität Bochum","title":"Behavioral measures to fight COVID-19: An 8-country study of perceived usefulness, adherence and their predictors","details":" The study investigated their perceived usefulness, adherence and their predictors in representative online samples in eight countries (France, Germany, Poland, Russia, Spain, Sweden, U.K., U.S.)","authors":"Margraf J, Brailovskaia J, Schneider S ","methodology":"Web-based survey","sample_size":"7658","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Data were collected within ten days from the end of May to the beginning of June 2020 by the independent social marketing and research institute YouGov via population-based online-panel surveys in the national language of the countries. Participants were recruited from residential populations aged 18 years and above. The overall sample was comprised of 7,658 participants from eight countries: FR: N = 940, GE: N = 917, PL: N = 924, RU: N = 986, ES: N = 960, SV: N = 922, UK: N = 1,105 and US: N = 904.","publication_channel":"PLOS One","link":"https://doi.org/10.1371/journal.pone.0243523","source_date":"2020-12-07T00:00:00","key_words":"efficacy","source_status":"Processed","frequency":"","sample_type":"Panel-based sample","insert_date":"2021-09-28T00:00:00","data_key":"S260"},{"source_id":"S261","organisation":"Universidad de la República Uruguay","title":"Percepción de riesgo, de la effectividad de medidas y adherencia a medidas - Premier Informe","details":"The study identified and designed a set of specific indicators to monitor relevant dimensions such as perception of harm, perception of effectiveness of measures, adherence to measures, and effects on mental health, among others.","authors":"OSEC, Usina de Percepción Ciudadana, UNDP","methodology":"Web-based survey","sample_size":"400","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"The Usina de Percepción Ciudadana was started in 2020 and since then it has monitored the opinion of the population through a panel survey conducted on a representative sample of 400 cases of the national population over 18 years of age. The composition of the panel was defined according to sex and age strata. The index of socioeconomic level INSE is used as a control variable of the national institute of statistics. The answers are collected through automated question / answer protocols via WhatsApp and monitored through phone calls.","publication_channel":"Urugay Government Portal","link":"https://medios.presidencia.gub.uy/llp_portal/2021/GACH/INFORMES/informe_observatorio_socioeconomico.pdf","source_date":"2021-03-23T00:00:00","key_words":"perception|efficacy","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S261"},{"source_id":"S262","organisation":"Universidad de la República Uruguay","title":"Percepción de riesgo, de la effectividad de medidas y adherencia a medidas no farmacológicas en Uruguay - Segundo Informe","details":"The study identified and designed a set of specific indicators to monitor relevant dimensions such as perception of harm, perception of effectiveness of measures, adherence to measures, and effects on mental health, among others.","authors":"OSEC, Usina de Percepción Ciudadana, UNDP","methodology":"Web-based survey","sample_size":"400","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Report","source_comment":"The Usina de Percepción Ciudadana was started in 2020 and since then it has monitored the opinion of the population through a panel survey conducted on a representative sample of 400 cases of the national population over 18 years of age. The composition of the panel was defined according to sex and age strata. The index of socioeconomic level INSE is used as a control variable of the national institute of statistics. The answers are collected through automated question / answer protocols via WhatsApp and monitored through phone calls.","publication_channel":"Urugay Government Portal","link":"https://medios.presidencia.gub.uy/llp_portal/2021/GACH/INFORMES/segundo-informe-osec.pdf","source_date":"2021-05-17T00:00:00","key_words":"perception|efficacy","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S262"},{"source_id":"S263","organisation":"Hanoi Medical University","title":"Demand for Health Information on COVID-19 among Vietnamese ","details":"This study aims to provide insight regarding the current level of awareness of the pandemic, and to identify associated factors in Vietnamese participants to recommend necessary interventions.","authors":"Huong Thi LeDiep Ngoc Nguyen, Ahmed Sam Beydoun, Xuan Thi Thanh Le, Thao Thanh Nguyen, Quan Thi Pham, Nhung Thi Kim Ta, Quynh Thi Nguyen, Anh Ngoc Nguyen, Men Thi Hoang, Linh Gia Vu, Bach Xuan Tran, Carl A. Latkin, Cyrus S.H. Ho, Roger C.M. Ho","methodology":"Web-based survey","sample_size":"341","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":" A cross-sectional study was conducted using a web-based survey. This survey was divided into five independent blocks for five different research topics regarding the COVID-19 pandemic. Respondents were recruited using the snowball sampling technique. Hanoi Medical University set up a core group, including 15 selected people, in the recruitment process. The questionnaire was initially sent to this core group. This core group had a higher likelihood of knowing others through the network of medical students (including both former and current ones) and staff in different medical universities in Vietnam. ","publication_channel":"International Journal of Environemental Research and Public Health","link":"https://doi.org/10.3390/ijerph17124377","source_date":"2020-05-07T00:00:00","key_words":"information|impact","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S263"},{"source_id":"S264","organisation":"UNICEF","title":"Gender-Based Violence & COVID Poll #1","details":"This U-Report poll aimed to monitor gender-based violence during COVID-19 in Zimbabwe","authors":"UNICEF Zimbabwe","methodology":"Texting survey","sample_size":"3080","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"U-Report Zimbabwe","link":"https://zimbabwe.ureport.in/opinion/4855/","source_date":"2021-01-27T00:00:00","key_words":"violence|impact","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S264"},{"source_id":"S265","organisation":"UNICEF","title":"Poll # 1 - Covid-19: evaluation of mask wearing","details":"This U-Report poll aimed to assess mask wearing among youth population in Chad","authors":"UNICEF Chad","methodology":"Texting survey","sample_size":"13556","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"U-Report Chad","link":"https://tchad.ureport.in/opinion/4813/","source_date":"2021-01-22T00:00:00","key_words":"mask wearing; handwashing; ","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S265"},{"source_id":"S266","organisation":"UNICEF","title":"how the Coronavirus pandemic has affected the price and availability of food for you and your family","details":"This U-Report poll measured livellihood impact of COVID-19 in Nigeria","authors":"UNICEF Nigeria","methodology":"Texting survey","sample_size":"141597","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"U-Report Nigeria","link":"https://nigeria.ureport.in/opinion/4810/","source_date":"2021-01-19T00:00:00","key_words":"Socio-economic impact; nutrition; ","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S266"},{"source_id":"S267","organisation":"UNICEF","title":"Perceptions of adolescents and young people on the impact of the COVID-19 pandemic on their rights, with focus on protection against any form of Gender- Based Violence.","details":"This U-Report poll evaluated perception of youth on socio-economic impact in Philippines.","authors":"UNICEF Philippines","methodology":"Texting survey","sample_size":"277","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"Low sample","publication_channel":"U-Report Philippines","link":"https://philippines.ureport.in/opinion/4723/","source_date":"2020-11-26T00:00:00","key_words":"Violence","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S267"},{"source_id":"S268","organisation":"UNICEF","title":"Corona Virus Poll 10","details":"This U-Report poll aimed to assess mask wearing among youth population in Sierra Leone","authors":"UNICEF Sierra Leone","methodology":"Texting survey","sample_size":"2152","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"U-Report Sierra Leone","link":"https://sierraleone.ureport.in/opinion/4628/","source_date":"2020-10-14T00:00:00","key_words":"Mask wearing","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S268"},{"source_id":"S269","organisation":"UNICEF","title":"Knowledge about the COVID-19 vaccine","details":"This U-Report poll measured knowledge and awareness among youth in Honduras","authors":"UNICEF Honduras","methodology":"Texting survey","sample_size":"1432","target_pop":"","scale":"National","quality_check":"No","impact_factor":"","access_type":"Dashboard","source_comment":"","publication_channel":"U-Report Honduras","link":"https://honduras.ureport.in/opinion/1996/","source_date":"2020-10-05T00:00:00","key_words":"Vaccination","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S269"},{"source_id":"S270","organisation":"Odoxa","title":"Vaccins contre le covid-19 et autotests","details":"Survey conducted among a sample of French people interviewed by internet on 7 and 8 April 2021","authors":"Odoxa, Blackbone Consulting, Figaro, France Info","methodology":"Web-based survey","sample_size":"1004","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Sample of 1004 French people representative of the French population aged 18 and over. The representativeness of the sample is ensured by the quota method applied to the following variables: gender, age, level of education and occupation of the interviewee after stratification by region and category of agglomeration.","publication_channel":"Odoxa","link":"http://www.odoxa.fr/sondage/oui-a-vaccination-astrazeneca/","source_date":"2021-04-08T00:00:00","key_words":"Vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S270"},{"source_id":"S271","organisation":"GeoPoll","title":"Report: The Impact of COVID-19 Across Africa","details":"GeoPoll conducted a remote study in 12 countries in sub-Saharan Africa on the effects coronavirus is already having on people throughout the region.","authors":"Roxana Elliott","methodology":"Texting survey","sample_size":"4000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"This study questionnaire was designed by GeoPoll and data collection occurred from April 2nd – April 9th, 2020, with some countries completing data collection earlier than others. The study was run through SMS and mobile web, in which a web link is sent through a text message and opened in a basic browser. For sampling, GeoPoll used a simple random sampling technique from GeoPoll’s respondent database, a list of mobile subscribers in each country surveyed. The sample was nationally represented by age, gender and location (ADM1) and with a natural fallout of Living Standard Measures (LSM) in all markets.","publication_channel":"GeoPoll","link":"https://www.geopoll.com/blog/report-covid-19-coronavirus-africa/","source_date":"2020-04-15T00:00:00","key_words":"perception|pratice|impact|information","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S271"},{"source_id":"S272","organisation":"GeoPoll","title":"Report: The Ongoing Impacts of COVID-19 in 6 African Nations","details":" GeoPoll conducted a survey to assess the ongoing effects of the pandemic on respondents’ finances, spending, and health, their thoughts and concerns about the vaccine, and their hopes for the future.","authors":"Fran Bodine","methodology":"Texting survey","sample_size":"2400","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"The study was conducted in English in Kenya, South Africa, and Nigeria; French in Côte D’Ivoire and the Democratic Republic of Congo; and Portuguese in Mozambique. Data collection occurred from March 24th to April 12th, 2021 with some countries completing data collection earlier than others. This study was run in six countries: Côte D’Ivoire, the Democratic Republic of Congo, Kenya, Mozambique, Nigeria, and South Africa. The total sample size was 400 per country and 2,400 total, which provides a 5% margin of error and a 95% confidence interval. GeoPoll used a simple random sampling technique from GeoPoll’s respondent database of mobile subscribers in each country surveyed.","publication_channel":"GeoPoll","link":"https://www.geopoll.com/blog/covid19-tracker-sub-saharan-africa-2021/","source_date":"2020-03-17T00:00:00","key_words":"impact|information|pratice|vaccine","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S272"},{"source_id":"S273","organisation":"GeoPoll","title":"Report: Economic Impact of COVID-19 Across sub-Saharan Africa","details":"The main areas of GeoPoll’s study are: Ability to work and income change since the outset of COVID-19 Concern over expenses and the ability to pay for basic needs Usage of loans, savings, and income to pay for expenses The impact of COVID-19 on loans and mobile money services Receipt of aid and opinions of government priorities","authors":"Roxana Elliott","methodology":"Texting survey","sample_size":"2500","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"This study questionnaire was designed by GeoPoll’s questionnaire team and translated where needed. The study was run in English in Kenya, South Africa, and Nigeria; French in Côte D’Ivoire; and Portuguese in Mozambique. Data collection occurred from June 11th to July 6th, 2020, with some countries completing data collection earlier than others. This study was run in five countries: Kenya, Nigeria, Côte D’Ivoire, Mozambique, and South Africa. The total sample size was 500 per country and 2,500 total, which provides a 5% margin of error and a 95% confidence interval. GeoPoll used a simple random sampling technique from GeoPoll’s respondent database, a list of mobile subscribers in each country surveyed.","publication_channel":"GeoPoll","link":"https://www.geopoll.com/blog/economic-financial-impact-covid-19-sub-saharan-africa/?utm_campaign=Year%20End%20Report%202020&utm_source=yearendreport&utm_medium=textlink","source_date":"2020-07-15T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S273"},{"source_id":"S274","organisation":"GeoPoll","title":"Report: Coronavirus in sub-Saharan Africa","details":" GeoPoll deployed an SMS survey from March 10th-13th 2020 in South Africa, Kenya, and Nigeria. This survey examined awareness levels, primary information sources, knowledge of how to prevent the virus, and levels of worry. ","authors":"Roxana Elliott","methodology":"Texting survey","sample_size":"1350","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Paper, Brief","source_comment":"GeoPoll deployed an SMS survey from March 10th-13th 2020 in South Africa, Kenya, and Nigeria. This survey examined awareness levels, primary information sources, knowledge of how to prevent the virus, and levels of worry. The study had a total sample size of 1,350 (450 per country) and was roughly nationally representative by location across each country. The sample had an even gender split and an age split of 33% ages 15-24, 35% ages 25-34, and 32% ages 35+. Of the initial 1,350 respondents, 1275 (94%) were aware of the recent outbreak and continued to complete the remainder of the survey.","publication_channel":"GeoPoll","link":"https://www.geopoll.com/blog/coronavirus-africa/","source_date":"2020-03-17T00:00:00","key_words":"knowledge|practice|perception|practice","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S274"},{"source_id":"S275","organisation":"Ipsos","title":"Global perceptions of the impact of COVID-19","details":"A new global survey from Ipsos shows how the COVID-19 pandemic has affected mental wellbeing, community support and loneliness around the world.","authors":"Kelly Beaver, Sarah Knibbs","methodology":"Web-based survey","sample_size":"23004","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"These are the results of a 28-market survey conducted by Ipsos on its Global Advisor online platform. Ipsos interviewed a total of 23,004 adults aged 18-74 in Singapore, 18-74 in the United States, Canada, Malaysia, South Africa and Turkey, 21-74 in Singapore and 16-74 in 22 other markets between 23 December 2020 and 8 January 2021. ","publication_channel":"Ipsos","link":"https://www.ipsos.com/sites/default/files/ct/news/documents/2021-03/global_perceptions_of_the_impact_of_covid-19.pdf","source_date":"2021-02-01T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S275"},{"source_id":"S276","organisation":"Ipsos","title":"Women and health in a world hit by the pandemic","details":"Worldwide, more than 50 million people have contracted Covid-19. But the health cost to women goes far beyond the virus itself. AXA and Ipsos today reveal the results of a second study conducted among women on the impact of Covid-19.","authors":"Amandine Lama ","methodology":"Web-based survey","sample_size":"8000","target_pop":"Women","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Survey conducted in 8 countries (France, Germany, Italy, Spain, UK, Mexico, Nigeria, Thailand). Quota method applied to age, occupation / working status, region. Representative samples of the population of women aged 18 y.o. and over in each of the countries surveyed (except Thailand 18-55 yo.) ","publication_channel":"Ipsos","link":"https://www.ipsos.com/sites/default/files/ct/news/documents/2020-11/axa_women_covid_health-rapport_ipsos.pdf","source_date":"2020-10-01T00:00:00","key_words":"impact|women","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S276"},{"source_id":"S277","organisation":"Ipsos","title":"More people say they’re wearing masks to protect themselves from COVID-19 since March","details":"In a survey of nearly 29,000 respondents conducted from April 9 to 12 in 15 countries, there’s been gradual increase in the number of people who say they are now wearing a face mask due to COVID-19 since mid-March.","authors":"Darrell Bricker","methodology":"Web-based survey","sample_size":"29000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Paper, Brief","source_comment":"The sample consists of approximately 2,000 individuals in each country with the exception of Vietnam each at 1,000. The samples in Australia, Canada, France, Germany, Italy, Japan, the U.K. and the U.S. can be taken as representative of these countries’ general adult population over age 16 or 18 (as above) and under the age of 75. The sample in Brazil, China, India, Mexico, Russia, and Vietnam is more urban, more educated and/or more affluent than the general population and should be viewed as reflecting the views of the more “connected” segment of the population. The data is weighted so that each market’s sample composition best reflects the demographic profile of the adult population according to the most recent census data. Sample sizes may vary in prior waves.","publication_channel":"Ipsos","link":"https://www.ipsos.com/sites/default/files/ct/news/documents/2020-04/coronavirus-wave-8-april-16-pr-ipsos.pdf","source_date":"2020-04-16T00:00:00","key_words":"practice|mask","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S277"},{"source_id":"S278","organisation":"Ipsos","title":"Most of us are staying home to stop spread of COVID-19, shows latest poll","details":"In a survey of 28,000 people conducted from April 2 to 4, Japan is the only exception to this with just 15% of the respondents saying they are staying home to fight the coronavirus pandemic.","authors":"Darrell Bricker","methodology":"Web-based survey","sample_size":"28000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Paper, Brief","source_comment":"The sample consists of approximately 2,000 individuals in each country with the exception of Vietnam each at 1,000. The samples in Australia, Canada, France, Germany, Italy, Japan, the U.K. and the U.S. can be taken as representative of these countries’ general adult population over age 16 or 18 (as above) and under the age of 75. The sample in Brazil, China, India, Mexico, Russia, and Vietnam is more urban, more educated and/or more affluent than the general population and should be viewed as reflecting the views of the more “connected” segment of the population. The data is weighted so that each market’s sample composition best reflects the demographic profile of the adult population according to the most recent census data. Sample sizes may vary in prior waves.","publication_channel":"Ipsos","link":"https://www.ipsos.com/sites/default/files/ct/news/documents/2020-04/coronavirus-wave-7-pr-april-8-ipsos.pdf","source_date":"2020-04-08T00:00:00","key_words":"practice|self isolation","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S278"},{"source_id":"S279","organisation":"Ipsos","title":"Coronavirus pandemic: What are the psychological effects of self-isolation?","details":"In the latest Global Advisor survey of nearly 14,000 people across 15 major countries, more than two in five (43%) of the respondents said they are impatient to get back to normal life. Another third (34%) are anxious about their health, while 15% are lonely, and 12% are angry about restrictions to their freedom.","authors":"Rajeshni Naidu-Ghelani","methodology":"Web-based survey","sample_size":"14000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Paper, Brief","source_comment":"The sample consists of approximately 2,000 individuals in each country with the exception of South Korea and Vietnam each at 1,000. The samples in Australia, Canada, France, Germany, Italy, Japan, the U.K. and the U.S. can be taken as representative of these countries’ general adult population over age 16 or 18 (as above) and under the age of 75. The sample in Brazil, China, India, Mexico, Russia, South Korea and Vietnam is more urban, more educated and/or more affluent than the general population and should be viewed as reflecting the views of the more “connected” segment of the population. The data is weighted so that each market’s sample composition best reflects the demographic profile of the adult population according to the most recent census data.","publication_channel":"Ipsos","link":"https://www.ipsos.com/sites/default/files/ct/news/documents/2020-04/coronavirus-wave-6-ipsos-pr.pdf","source_date":"2020-04-03T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S279"},{"source_id":"S280","organisation":"Ipsos","title":"Coronavirus: opinion and reaction top line results from a multi-country poll wave 3","details":"In an Ipsos poll conducted across 10 large countries on February 28 and 29, there is a significant increase in the number of people who believe the virus will have a personal financial impact compared to a poll conducted on February 14 and 15.","authors":"Darrell Bricker","methodology":"Web-based survey","sample_size":"10000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"These are the results of an Ipsos survey conducted February 28-29, 2020 on the Global Advisor online platform among 10,000 adults aged 18-74 in Canada and the United States and 16-74 in Australia, France, Germany, Italy, Japan, Russia, Vietnam and the United Kingdom. Where available, tracking results from Wave 2, conducted February 14-15, 2020 are presented. Sample sizes are consistent wave to wave. The sample consists of approximately 1000+ individuals in each country. The samples in Australia, Canada, France, Germany, Italy, Japan, the U.K. and the U.S. can be taken as representative of these countries’ general adult population under the age of 75. The sample in Russia and Vietnam is more urban, more educated and/or more affluent than the general population and should be viewed as reflecting the views of the more “connected” segment of the population. The data is weighted so that each market’s sample composition best reflects the demographic profile of the adult population according ","publication_channel":"Ipsos","link":"https://www.ipsos.com/sites/default/files/ct/news/documents/2020-03/coronavirus-ipsos-wave3-report.pdf","source_date":"2020-03-03T00:00:00","key_words":"impact|perception|practice","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S280"},{"source_id":"S281","organisation":"Ipsos","title":"Coronavirus: opinion and reaction results from a multi-country poll","details":"A poll of 8 countries shows strong support for actions including travel bans and quarantines to control the virus.","authors":"Darrell Bricker","methodology":"Web-based survey","sample_size":"8000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"These are the results of an Ipsos survey conducted February 7-9, 2020 on the Global\nAdvisor online platform among 8,001 adults aged 18-74 in Canada and the United States and 16-74 in Australia, France, Germany, Japan, Russia and the United Kingdom. The sample consists of approximately 1000+ individuals in each country. The samples in Australia, Canada, France, Germany, Japan, the U.K. and the U.S. can be taken as representative of these countries’ general adult population under the age of 75. The sample in Russia is more urban, more educated and/or more affluent than the general population and should be viewed as reflecting the views of the more “connected” segment of the population. The data is weighted so that each market’s sample composition best reflects the demographic profile of the adult population according to the most recent census data. ","publication_channel":"Ipsos","link":"https://www.ipsos.com/sites/default/files/ct/news/documents/2020-02/coronavirus-topline-results-ipsos.pdf","source_date":"2020-02-12T00:00:00","key_words":"information|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S281"},{"source_id":"S282","organisation":"Kantar","title":"G7 countries perception of COVID-19","details":"Kantar conducted this G7 citizen impact and public opinion study online to support social distancing protocols. The study asked questions on personal response, personal impact, personal and household financial impact, perceptions of and understanding of government advice, perceptions of government response, most trusted information source and perceptions of potential interventions to the virus.","authors":"Michelle Harrison ","methodology":"Web-based survey","sample_size":"7000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"From the 9th to the 13th of April 2020 1000 aged 16+. The data was weighted to match population totals for age, gender and education. Online using the Kantar access\npanel. Base: All adults – G7 (7006), CA (1000), FR (1000), GE (1000), IT (1001), JP (1003), GB (1001), USA (1001)","publication_channel":"Kantar","link":"https://www.kantar.com/-/media/project/kantar/global/articles/files/2020/kantar-g7-citizen-impact-covid-19-charts-and-methodology-17-april-2020.pdf","source_date":"2020-04-01T00:00:00","key_words":"susceptibility |impact |knowledge |protective measures |information | trust","source_status":"Identified","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S282"},{"source_id":"S283","organisation":"Afrobarometer","title":"Who wants COVID-19 vaccination? In 5 West African countries, hesitancy is high, trust low","details":"Afrobarometer is a pan-African, nonpartisan survey research network that provides reliable data on Africans’ experiences and evaluations democracy, governance, and quality of life.","authors":"Aminatou Seydou","methodology":"Face-to-face interview","sample_size":"6000","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"This dispatch is based on data collected during the period October 2020-January 2021 in five West African countries: Benin, Liberia, Niger, Senegal, and Togo. In each country, Afrobarometer conducted face-to-face interviews in the language of the respondent’s choice with a nationally representative sample of 1,200 adult citizens that yields country-level results with a margin of error of +/-3 percentage points at a 95% confidence level.","publication_channel":"Afrobarometer","link":"https://afrobarometer.org/sites/default/files/publications/Dispatches/ad432-covid-19_vaccine_hesitancy_high_trust_low_in_west_africa-afrobarometer-8march21.pdf","source_date":"2021-03-09T00:00:00","key_words":"vaccine|impact|trust","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S283"},{"source_id":"S284","organisation":"World Bank","title":"The acceptance of covid-19 vaccines in Sub-Saharan Africa: Evidence from 6 national phone surveys","details":"In this paper, the author provide cross-country comparable estimates of the willingness to accept a covid-19 vaccine in six Sub-Saharan African countries.","authors":"Shelton Kanyanda, Yannick Markhof, Philip Wollburg, Alberto Zezza","methodology":"Texting survey","sample_size":"11692","target_pop":"","scale":"Multi-country","quality_check":"No","impact_factor":"","access_type":"Paper, Brief","source_comment":"Datasets come with recalibrated household survey weights to counteract potential selection biases such that household-level estimates based on the HFPS data can be broadly considered representative at the national level.","publication_channel":"medRxiv","link":"https://doi.org/10.1101/2021.06.28.21259320","source_date":"2021-07-02T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S284"},{"source_id":"S285","organisation":"NIDS","title":"A shot in the arm for South Africa - increased openness to accepting a COVID-19 vaccine","details":"This paper examines whether vaccine acceptance is as an impediment to vaccine take-up and roll out based on the most recent wave 5 NIDS-CRAM data. Comparing these results to the wave 4 results, the authors assess the stability of vaccine beliefs over a period of two months. Almost half (47%) of those who ‘disagreed strongly or somewhat or did not know’ in February or March 2021 subsequently changed their minds over the following two months and either had been vaccinated or agreed to be vaccinated when asked again in April or May.","authors":"NDIS, CRAM, Stellenbosch University, University of Cape Town","methodology":"Phone survey","sample_size":"4996","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"NIDS-CRAM is a special follow-up survey of a subsample of adults from households that were part of the last wave (2017) of the National Income Dynamics Study (NIDS). NIDS was a large-scale longitudinal survey, run by the Southern Africa Labour and Development Research Unit (SALDRU), that tracked the social and economic well-being of South Africans from 2008 up to 2017. This paper draws on questions about vaccine acceptance that were included in Waves 4 and 5 of the NIDS-CRAM survey. Wave 4 was conducted from 2 February to 10 March 2021 with a sample of 4,792 individuals, and Wave 5 was conducted from 6 April to 11 May 2021 with a sample of 4,996. Compared to NIDS-CRAM Wave 1 (May and June 2020), Wave 4 had 31% attrition and Wave 5 had 28% attrition.","publication_channel":"CRAM","link":"https://cramsurvey.org/wp-content/uploads/2021/07/2.-Burger-R.-Maughan-Brown-M.-Kohler-T.-English-R.-_-Tameris-M.-2021-Increased-openness-to-accepting-a-COVID-19-vaccine-is-a-shot-in-the-arm-for-South-Africa-Evidence-from-the-NIDS-CRAM-Wave-5-Survey.pdf","source_date":"2021-07-08T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S285"},{"source_id":"S287","organisation":"Taif University","title":"Public Perceptions and Commitment to Social Distancing “Staying-at-Home” During COVID-19 Pandemic: A National Survey in Saudi Arabia","details":"The aim of this study was, therefore, to evaluate the awareness and adherence of the Saudi population to these measures.","authors":"Abdu Aldarhami, Abdulrahman S Bazaid, Omar W Althomali, Naif K Binsaleh","methodology":"Web-based survey","sample_size":"5105","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"To ensure a wide distribution, the dissemination to the target participants was carried out using various social media (Twitter, WhatsApp and Snapchat) between March 25th and April 17th, 2020. The survey tool was written in Arabic, the mother tongue of the target population, and was built using an online survey form. A total of 5,105 participants completed the survey, of whom 58.4% were female, and most were young individuals (29.4% and 36.9% from the 18–27 and 28–37 years age groups, respectively) and married (60.9%).","publication_channel":"International Journal of General Medecine","link":"http://doi.org/10.2147/IJGM.S269716 ","source_date":"2020-09-22T00:00:00","key_words":"public awareness, public practice, protective measures, social distancing","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S287"},{"source_id":"S288","organisation":"University of Eswatini","title":"Assessment of early COVID-19 compliance to and challenges with public health and social prevention measures in the Kingdom of Eswatini, using an online survey","details":"This online survey assessed the compliance and attitude of adults residing in the southern African Kingdom of Eswatini to government protection, activity and travel measures aimed at controlling the spread of COVID-19. A rapid online survey, comprising of 28 questions, was administered in May 2020","authors":" Padidar S, Liao S-m, Magagula S, Mahlaba TAM, Nhlabatsi NM, Lukas S","methodology":"Web-based survey","sample_size":"457","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"A cross-sectional anonymous voluntary online survey was administered between 14th May to 31st May 2020, during the COVID-19 pandemic emergency. SurveyMonkey, a secure, password protected platform, was used to host the survey. The survey was available in English and siSwati, and participants had the choice to complete the survey in either language. A total of 488 respondents completed the survey. Of these, 21 were excluded as respondents identified themselves as living outside of Eswatini or did not answer this question. Eleven respondents indicated they had completed the survey before (with one respondent indicating they had both previously completed the survey and was living outside of Eswatini). Therefore, data from a total of 457 respondents was analysed.","publication_channel":"PLOS One","link":"https://doi.org/10.1371/journal.pone.0253954","source_date":"2021-06-27T00:00:00","key_words":"Protective measures|prevention","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S288"},{"source_id":"S289","organisation":"Medical University of Gdansk","title":"Before-and-after online community survey on knowledge and perception of COVID-19 pandemic","details":"In this study the Poles’ knowledge about COVID-19 as well as people’s behaviours, attitudes and fears during the pandemic were assessedThe first aim of the study is to evaluate Poles’ knowledge about COVID-19 as well as people’s behaviours, attitudes and fears during the pandemic in Poland, depending on the socio-educational profile of the respondent. The second aim is to compare responses at the beginning of the epidemic before the lockdown restrictions and during its peak, at the time when the number of COVID-19 cases in Poland was very high and the restrictions imposed by the government had already affected life of the respondents.","authors":"Nazar, W., Leszkowicz, J., Pienkowska, A. et al. ","methodology":"Web-based survey","sample_size":"2618","target_pop":"Healthcare workers","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The survey was based on 2618 responses to the anonymous questionnaires, which were collected in two waves: at the outset of the epidemic and during the most severe COVID-19 lockdown in Poland. The following cohorts were distinguished among the respondents: medicine-oriented community: physicians, nurses, medicine-oriented students, and non-medicine-oriented community: non-medical professionals, non-medicine-oriented students, secondary school students (over 18?years old). The questionnaires were send via e-mails and posted on Facebook groups for medical professionals, students and non-medicine-oriented communities. Target pop split in 2 to extract data: Health workers and unspecified target2618 respondents: 1089 for 1st phase survey and 1529 for 2nd phase","publication_channel":"BMC Infectious Disease","link":"https://doi.org/10.1186/s12879-020-05602-6","source_date":"2020-11-19T00:00:00","key_words":"public awareness, public practice, protective measures","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S289"},{"source_id":"S290","organisation":"Center for Global Development","title":"Covid19 Phone survey Senegal","details":"Mobile phone surveys in Senegal to assess socio-economic impacts of Covid19 crisis, compliance with mitigation measures and attitudes and perception of the epidemic. (2020-04-19)","authors":"Alexis Le Nestour, Samba Mbaye, Justin Sandefur, Laura Moscoviz","methodology":"Phone survey","sample_size":"1055","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"In order to correct for the lack of sample representativeness, the authors applied two corrections. First, the sample was post-stratified by group of regions. Second, respondents were asked to indicate the number of functional mobile phones available in their household in order to estimate the probability of a household being included in the sample. The sampling weights were calculated as the inverse of the number of mobile phones in the household multiplied by the size of the household in order to estimate representative population-level figures","publication_channel":"Harvard Dataverse","link":"https://doi.org/10.7910/DVN/9XE95F","source_date":"2020-04-19T00:00:00","key_words":"public awareness, public practice, protective measures, Social Sciences","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S290"},{"source_id":"S291","organisation":"Ohio University","title":"Knowledge, attitudes, and practices towards COVID-19 among Venezuelans during the 2020 epidemic: An online cross-sectional survey","details":"The questionnaire explored individuals’ knowledge about COVID-19; their attitudes toward the world’s and the Venezuelan authorities’ abilities to control it; and their self-reported practices. We also collected demographic data.","authors":"Bates BR, Tami A, Carvajal A, Grijalva MJ ","methodology":"Web-based survey","sample_size":"3122","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The data for this study were collected online from July 1 to July 14, 2020 using the Qualtrics platform. Participants were recruited through the authors’ personal networks inviting persons in Venezuela to forward an e-mail recruitment message and WhatsApp messages were sent to the authors’ personal networks with a request to share. ","publication_channel":"PLOS One","link":"https://doi.org/10.1371/journal.pone.0249022","source_date":"2021-04-15T00:00:00","key_words":"public awareness, public practice, protective measures","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S291"},{"source_id":"S292","organisation":"Eurobarometer","title":"Attitudes on vaccination against Covid-19","details":"Survey requested and coordinated by the European Commission, Directorate- General for CommunicationFieldwork conducted by Ipsos European Public Affairs","authors":"European Commission","methodology":"Web-based survey","sample_size":"21106","target_pop":"","scale":"Multi-country","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Survey data were weighted to marginal age by gender, activity status and region population distributions using rim weighting.","publication_channel":"Eurobarometer (EU)","link":"https://europa.eu/eurobarometer/api/deliverable/download/file?deliverableId=75726","source_date":"2021-06-01T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S292"},{"source_id":"S293","organisation":"Gates Foundation","title":"Gates Low- and Middle-Income (LMIC) Country COVID-19 Survey - Wave 1","details":"BMGF conducted in partnership with ORB Internation a multi-wave survey on vaccine acceptance in India, Kenya, Nigeria and South Africa","authors":"BMGF, ORB International","methodology":"Texting survey","sample_size":"4000","target_pop":"","scale":"Multi-country","quality_check":"","impact_factor":"","access_type":"Paper, Brief","source_comment":"Phase 1: Online survey in low- and middle-income countries: Nigeria, Kenya, South Africa and India conducted in November-December 2020. Audience: 2,000+ nationally-representative sample of the general public. \nPhase 2: Online survey in in low- and middle-income countries: Kenya, Nigeria, Burkina Faso and India in May-June 2021. Audience: 1,000+ nationally-representative sample of the general public. The Kenya and Nigeria data are weighted to correct for age imbalance so that the overall results are representative of population, according to census data.","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/1MpQYDK5ugmKMuSRhLr6_XAMfMquOJ7uV/view?usp=sharing","source_date":"2020-09-01T00:00:00","key_words":"impact|practice|vaccine|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S293"},{"source_id":"S294","organisation":"Gates Foundation","title":"Gates Low- and Middle-Income (LMIC) Country COVID-19 Survey - Wave 2","details":"BMGF conducted in partnership with ORB Internation a multi-wave survey on vaccine acceptance in India, Kenya, Nigeria and South Africa","authors":"BMGF, ORB International","methodology":"Texting survey","sample_size":"4000","target_pop":"","scale":"Multi-country","quality_check":"","impact_factor":"","access_type":"Paper, Brief","source_comment":"Phase 1: Online survey in low- and middle-income countries: Nigeria, Kenya, South Africa and India conducted in November-December 2020. Audience: 2,000+ nationally-representative sample of the general public. \nPhase 2: Online survey in in low- and middle-income countries: Kenya, Nigeria, Burkina Faso and India in May-June 2021. Audience: 1,000+ nationally-representative sample of the general public. The Kenya and Nigeria data are weighted to correct for age imbalance so that the overall results are representative of population, according to census data.","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/13uE5IoC79-hhUKYzG-WzBKX6glMVmcGk/view?usp=sharing","source_date":"2020-11-01T00:00:00","key_words":"impact","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S294"},{"source_id":"S295","organisation":"Gates Foundation","title":"Gates Low- and Middle-Income (LMIC) Country COVID-19 Survey - Wave 3","details":"BMGF conducted in partnership with ORB Internation a multi-wave survey on vaccine acceptance in India, Kenya, Nigeria and South Africa","authors":"BMGF, ORB International","methodology":"Texting survey","sample_size":"4000","target_pop":"","scale":"Multi-country","quality_check":"","impact_factor":"","access_type":"Paper, Brief","source_comment":"Phase 1: Online survey in low- and middle-income countries: Nigeria, Kenya, South Africa and India conducted in November-December 2020. Audience: 2,000+ nationally-representative sample of the general public. \nPhase 2: Online survey in in low- and middle-income countries: Kenya, Nigeria, Burkina Faso and India in May-June 2021. Audience: 1,000+ nationally-representative sample of the general public. The Kenya and Nigeria data are weighted to correct for age imbalance so that the overall results are representative of population, according to census data.","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/10o4JHX66XU-D54noyE6W1wbcAl-yP39A/view?usp=sharing","source_date":"2021-02-01T00:00:00","key_words":"impact|practice|vaccine|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S295"},{"source_id":"S296","organisation":"Gates Foundation","title":"Gates Low- and Middle-Income (LMIC) Country COVID-19 Survey - Wave 4","details":"BMGF conducted in partnership with ORB Internation a multi-wave survey on vaccine acceptance in India, Kenya, Nigeria and South Africa","authors":"BMGF, ORB International","methodology":"Texting survey","sample_size":"4000","target_pop":"","scale":"Multi-country","quality_check":"","impact_factor":"","access_type":"Report","source_comment":"Phase 1: Online survey in low- and middle-income countries: Nigeria, Kenya, South Africa and India conducted in November-December 2020. Audience: 2,000+ nationally-representative sample of the general public. \nPhase 2: Online survey in in low- and middle-income countries: Kenya, Nigeria, Burkina Faso and India in May-June 2021. Audience: 1,000+ nationally-representative sample of the general public. The Kenya and Nigeria data are weighted to correct for age imbalance so that the overall results are representative of population, according to census data.","publication_channel":"Collective Service","link":"https://drive.google.com/file/d/1hcFikfpumYnLn4e4TDpl84Ccb_ofEakG/view?usp=sharing","source_date":"2021-06-01T00:00:00","key_words":"impact|practice|vaccine|perception","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S296"},{"source_id":"S297","organisation":"Université Alassane Ouattara","title":"Knowledge, Attitudes, and Practices (KAP) Regarding the COVID-19 Outbreak in Cote d’Ivoire: Understanding the Non-Compliance of Populations with Non-Pharmaceutical Interventions","details":"The argument in the paper is articulated around: (i) identifying the population’s knowledge about preventive measures regarding COVID- 19 and describing the impact of COVID-19 on different populations’ lives, (ii) describingInt. J. Environ. Res. Public Health 2021, 18, 4757 4 of 21 attitudes and practices related to COVID-19, and (iii) identifying hindering and fostering factors in compliance with preventive measures.","authors":"Richard B. Yapi, Clarisse A. Houngbedji, Daniel K.G. N’Guessan, Arlette O. Dindé ,Aimé R. Sanhoun, Ariane Amin, Kossia D.T. Gboko, Kathrin Heitz-Tokpa, Gilbert Fokou and Bassirou Bonfoh","methodology":"Web-based survey","sample_size":"564","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"A multidisciplinary team representing the epidemiological, social, and medical sciences designed an online, cross-sectional survey in Côte d’Ivoire which was administered between 26 April and 16 May 2020. Drawing on the snowball sampling technique, each person contacted in a locality was in turn required to share the questionnaire link within his or her network. In areas where access to Internet was limited and to ensure that the required number of participants was reached, research assistants were identified in some targeted towns/villages. Participants were divided into two age groups: 18 to 59 years (the young, young adults, and adults) and 60 years and above (seniors), considering employment status and education level including the less educated (those who had never been to school or had received primary level schooling) and the most educated (secondary school and university level)","publication_channel":"International Journal of Environemental Research and Public Health","link":"https://doi.org/10.3390/ijerph18094757","source_date":"2021-04-29T00:00:00","key_words":"public awareness, public practice, protective measuresCOVID-19; Cote d’Ivoire; compliance; knowledge; attitudes; practices","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S297"},{"source_id":"S298","organisation":"UNDP","title":"COVID-19 and the social contract in Latin America: Citizens views of national responses one year on","details":"the UNDP Regional Hub for Latin America and the Caribbean partnered with CID Gallup to carry out a perception survey in 10 countries across the region. The survey, which covered a representative sample of approximately 12,000 people, took place between September and October 2020","authors":"Jairo Acuña - Alfaro, Emanuele Sapienza","methodology":"Phone survey","sample_size":"12000","target_pop":"","scale":"Multi-country","quality_check":"","impact_factor":"","access_type":"Report","source_comment":"Survey type: Omnibus quantitative survey, realized through telephone interviews to cellular phones. Reference population: citizens, living in the country with an active cellular phone. Sample: random and representative of general population. Sample size: approximately 1200 per country. Margin of error: ±2.8 points (p=0.5) for the whole sample. Dates: September 2020 (Monday to Sunday, 9:00-17:30). see more on: https://sway.office.com/SGXEVzPG66uBBmSr?ref=Link&loc=play","publication_channel":"UNDP","link":"https://www.latinamerica.undp.org/content/rblac/en/home/blog/2021/covid-19-y-el-contrato-social-en-america-latina--visiones-de-la-.html","source_date":"2021-05-18T00:00:00","key_words":"Trust Gov","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S298"},{"source_id":"S299","organisation":"Azadi Teaching Hospital","title":"COVID-19-related anxiety disorder in Iraq during the pandemic: an online cross-sectional study","details":"In Iraq, there are no registered known data on the psychological consequence of the public during the communicable disease outbreak. The ongoing study aims to address the paucity of these data as an appraisal of the mental health burden represented by anxiety disorder related to the global COVID-19 era.","authors":"Saad Kazim Karim, Perjan Hashim Taha, Nazar Mohammad Mohammad Amin, Habeeb Shuhaib Ahmed, Miami Kadhim Yousif & Ammar Mohmmed Hallumy","methodology":"Web-based survey","sample_size":"1591","target_pop":"","scale":"National","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"Cross-sectional online survey via English-Arabic combined type of questionnaire formulated by the researchers and uploaded via the web-based Survey Monkey. The inquiries were released randomly through announcement links on social media platforms to reach participants distributed all over the19 Iraqi provinces. Data collection took place over 23?days (March 21 to April 12, 2020) from our convenient sample which constituted 1591 engaged respondents, and it took on average 8?min to reply to all questions. ","publication_channel":"Middle East Current Psychiatry","link":"https://doi.org/10.1186/s43045-020-00067-4","source_date":"2020-10-26T00:00:00","key_words":"Mental Health","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S299"},{"source_id":"S300","organisation":"UNICEF","title":"Global COVID-19 Community Rapid Assessment - Social and Behavioral Trends","details":"The primary objective of this research is to provide rapid, community source data in real time in order to strenghten the evidennce base and inform country-level programming in response to the pandemic.","authors":"UNICEF, Harvard Humanitarian Initiative","methodology":"Phone survey","sample_size":"6675","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Dashboard","source_comment":" 3 rounds of questions: Round 1: 6675 (Aug, 20th, 2020)Round 2: 6539 (Oct, 10th, 2020)Round 3: 6350 (Dec, 31st, 2020). Report here : https://drive.google.com/drive/folders/1rVif5488mrPdMyW8fOL8-bFeBNyEfYqJ ","publication_channel":"Global Covid-19 Community Rapid Assessment","link":"http://covid-19data.org/Nepal/","source_date":"2021-06-01T00:00:00","key_words":"public awareness, public practice, protective measures","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S300"},{"source_id":"S301","organisation":"WZB Berlin Social Science Center","title":"COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries","details":"This study analyzed COVID-19 vaccine acceptance across 15 survey samples covering 10 low- and middle-income countries (LMICs) in Asia, Africa and South America, Russia (an upper-middle-income country) and the United States, including a total of 44,260 individuals.","authors":"Solís Arce, J.S., Warren, S.S., Meriggi, N.F. et al.","methodology":"Misc.","sample_size":"44260","target_pop":"","scale":"Multi-country","quality_check":"Peer-review","impact_factor":"","access_type":"Journal","source_comment":"The study investigates these questions using a common set of survey items deployed across 13 studies in Africa, South Asia and Latin America (Table 3): seven surveys in low-income countries (Burkina Faso, Mozambique, Rwanda, Sierra Leone and Uganda), five surveys in lower-middle-income countries (India, Nepal, Nigeria and Pakistan) and one in an upper-middle-income country (Colombia). The author compare these findings to those from two countries at the forefront of vaccine research and development, Russia (upper-middle income) and the United States (high income).","publication_channel":"Nature Medecine","link":"https://doi.org/10.1038/s41591-021-01454-y","source_date":"2021-07-16T00:00:00","key_words":"vaccination","source_status":"Processed","frequency":"","sample_type":"Misc.","insert_date":"2021-09-28T00:00:00","data_key":"S301"},{"source_id":"S302","organisation":"Reach","title":"COVID-19 Knowledge, Attitudes and Practices (KAP) Survey: Northwest Syria - October 2020 (Round 5)","details":"REACH is undertaking a survey to gauge knowledge, attitudes, and practices toward COVID-19 in Northeast Syria. The survey will also be implemented in Northwest Syria","authors":"Jimmie Braley\nStephen Peat","methodology":"Face-to-face interview","sample_size":"1939","target_pop":"","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"","source_comment":"Sampling recalibrated\nNon-probability sampling\nSurvey conducted only in NW Syria\n\nMethodology >> Limitation TBC\nInformation is collected at the individual level. Restrictions on movement imposed to prevent the spread of COVID-19 preclude the preferred methodology of area based sampling. Random digit dialling (RDD) is also unfeasible. Therefore, respondents for the survey will have to be selected through a purposive, non-probability sampling approach. \nTo ensure that this approach will still yield the best possible information, three design elements have been included. First, the survey was conducted as a panel so that results can be compared across cycles. Second, efforts were made to include a diverse group of respondents, and responses will be calibrated. Third, a randomized vignette experiment provides key information on the interaction of age, gender, health, and confirmed COVID-19 cases on social distancing.\nRespondents for the survey were recruited through a nonprobability sample","publication_channel":"Reach Initiative","link":"https://reliefweb.int/report/syrian-arab-republic/covid-19-knowledge-attitudes-and-practices-kap-survey-northwest-syria-5","source_date":"2021-01-14T00:00:00","key_words":"public awareness, public practice, protective measures","source_status":"Processed","frequency":"","sample_type":"Misc.","insert_date":"2021-09-28T00:00:00","data_key":"S302"},{"source_id":"S303","organisation":"Faculty of Medicine, Syrian Private University","title":"Crisis within a crisis, COVID-19\nknowledge and awareness among the\nSyrian population: a cross-sectional\nstudy","details":"To gauge specific knowledge around clinical features, transmission pathways and prevention methods, and to identify factors associated with poor knowledge to help facilitate outbreak management in Syria during this rapid global rise of the COVID-19 pandemic.","authors":"Fatema Mohsen ,Batoul Bakkar, Humam Armashi, Nizar Aldaher","methodology":"Web-based survey","sample_size":"3586","target_pop":"","scale":"National","quality_check":"Peer Review","impact_factor":"","access_type":"","source_comment":"National survey across Syria, during the lockdown period\nParticipant ages ranged from 12 to 78","publication_channel":"BMJ Journals","link":"http://dx.doi.org/10.1136/bmjopen-2020-043305","source_date":"2020-04-04T00:00:00","key_words":"public awareness, public practice, protective measures","source_status":"Processed","frequency":"","sample_type":"Convenience sample","insert_date":"2021-09-28T00:00:00","data_key":"S303"},{"source_id":"S304","organisation":"Arab Barometer","title":"Vaccine Hesitancy in MENA","details":"Share of citizens saying they are unlikely to get the vaccine","authors":"","methodology":"Phone survey","sample_size":"1000","target_pop":"","scale":"Multi-country","quality_check":"No","impact_factor":"","access_type":"","source_comment":"Nationally representative phone survey of 1,000 – 1,200 citizens per country (between April 6th and 13th, 2021)","publication_channel":"Arab Barometer","link":"https://www.arabbarometer.org/2021/07/vaccine-hesitancy-in-mena/","source_date":"2021-07-09T00:00:00","key_words":"Vaccine acceptance","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S304"},{"source_id":"S305","organisation":"Department of Psychology, University of Nigeria, Nsukka, Nigeria","title":"COVID-19 Knowledge, Risk Perception, and Precautionary Behavior Among Nigerians: A Moderated Mediation Approach","details":"This study explored the relationship between COVID-19 knowledge, risk perception, and precautionary behavior among Nigerians.\narticipants responded to web-based survey forms comprising demographic questions and adapted versions of the Ebola knowledge scale, SARS risk perception scale, and precautionary behavior scale","authors":"Steven K. Iorfa, Iboro F. A. Ottu, Rotimi Oguntayo, Olusola Ayandele, Samson O. Kolawole, Joshua C. Gandi, Abdullahi L. Dangiwa and Peter O. Olapegba","methodology":"Web-based survey","sample_size":"1554","target_pop":"","scale":"National","quality_check":"Peer review","impact_factor":"","access_type":"","source_comment":"","publication_channel":"Frontiers in Psychology","link":"https://doi.org/10.3389/fpsyg.2020.566773","source_date":"2020-11-20T00:00:00","key_words":"public practice, protective measures","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S305"},{"source_id":"S306","organisation":"Morning Consult","title":"GLOBAL VACCINE TRACKING","details":"Morning Consult is conducting over 75,000 weekly interviews across the globe on the COVID-19 vaccine rollout, providing deep insights at a granular level into which countries are most and least opposed to vaccinations, and what factors are driving skepticism\nIn order to gauge vaccination rates and interest, Morning Consult asked adults in each country “Have you gotten the vaccine, or not?” Respondents could reply “Yes,” “No, but I will get it in the future,” “No, and I am not sure if I will get it in the future,” or “No, and I do not plan to get it.","authors":"Peyton Shelburn","methodology":"Web-based survey","sample_size":"75000","target_pop":"All","scale":"Cross country","quality_check":"Internal review","impact_factor":"","access_type":"","source_comment":"Surveys are weighted in each country by age, gender, region, and, in certain countries, education breakdowns based on official government sources. In the United States, surveys are also weighted by race and ethnicity.","publication_channel":"Morning Consult","link":"https://morningconsult.com/global-vaccine-tracking/","source_date":"2021-08-04T00:00:00","key_words":"Vaccine acceptance","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S306"},{"source_id":"S307","organisation":"Department of Human Nutrition, Faculty of Public Health, College of Medicine, University of Ibadan","title":"COVID-19-related risk perception, anxiety and protective behaviours\namong Nigerian adults: a cross-sectional study","details":"This study aimed to assess perceived risk, anxiety and protective behaviours of the general public during the early phase of the coronavirus disease (COVID-19) pandemic in Nigeria.","authors":"Tosin Philip Oyetunji & Olusegun Ayomikun Ogunmola & Timothy Tomiwa Oyelakin &\nOlorunyomi Felix Olorunsogbon & Foluso O. Ajayi","methodology":"Web-based survey","sample_size":"1197","target_pop":"All","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"","source_comment":"","publication_channel":"Journal of Public Health: From Theory to Practice","link":"https://doi.org/10.1007/s10389-021-01502-4","source_date":"2021-03-11T00:00:00","key_words":"public awareness, public practice, protective measures, mental health","source_status":"Processed","frequency":"","sample_type":"Snowball sample","insert_date":"2021-09-28T00:00:00","data_key":"S307"},{"source_id":"S308","organisation":"UN WOMEN","title":"Enquête rapide sur les effets de la COVID-19 au Mali: Une perspective genre","details":"This report documents the results of a COVID-19 rapid gender assessment undertaken in Mali in October and November 2020.","authors":"UN WOMEN, HCDH, UNICEF, Omedia","methodology":"Phone survey","sample_size":"2400","target_pop":"","scale":"National","quality_check":"","impact_factor":"","access_type":"Report","source_comment":"","publication_channel":"UN WOMEN","link":"https://data.unwomen.org/publications/enquete-rapide-sur-les-effets-de-la-covid-19-au-mali-une-perspective-genre","source_date":"2020-12-01T00:00:00","key_words":"gender|impact|perception|access to healthcare","source_status":"Processed","frequency":"","sample_type":"Stratified sample","insert_date":"2021-09-28T00:00:00","data_key":"S308"},{"source_id":"S309","organisation":"Cameroon Red Cross","title":"Enquête CAP (Connaissances, attitudes et pratiques) sur le Coronavirus (COVID-19) dans les départements du Mayo-Sava et du Mayo-Tsanaga Région de l’Extrême-Nord Cameroun.","details":"L’objectif général de cette enquête était de recueillir des informations de référence afin d’analyser la situation en déterminant les connaissances, attitudes, et pratiques face au Covid-19, en vue d’une meilleure planification des interventions et d’une actualisation des messages clés utilisés dans les actions de sensibilisation dans le cadre de la riposte face au Covid-19 au sein de la population déplacée interne de Zamai et de Mémé et les communautés hôtes (Région de l’Extrême nord).","authors":"ESSOUGA Jeanne (Suivi e´valuation CRC) PENDJO Arouna (Suivi e´valuation FICR) TCHAMDA Mariette (Suivi e´valuation FICR) SKJONSBERG Maika (Suivi e´valuation CRS)","methodology":"Texting survey","sample_size":"248","target_pop":"Refugees, migrants, IDP's","scale":"Localized","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Limitation: sample size + geographic coverage\nMethode d'echantillonnage aleatoire","publication_channel":"Cameroon Red Cross, IFRC","link":"https://www.humanitarianresponse.info/sites/www.humanitarianresponse.info/files/documents/files/rapport_enquete_cap_covid19_idps.pdf","source_date":"2020-07-31T00:00:00","key_words":"public awareness, public practice, protective measures","source_status":"Processed","frequency":"","sample_type":"Convenience/Snowball","insert_date":"2021-09-28T00:00:00","data_key":"S309"},{"source_id":"S310","organisation":"Alexandria University","title":"Intention of Healthcare Workers to Receive COVID-19 Vaccine: A Cross- Sectional Survey in 10 Countries in Eastern Mediterranean Region (EMRO)","details":"Our study aimed to understand the intention of health workers to receive COVID-19 vaccine and associated concerns across 10 countries in Eastern Mediterranean Region (EMRO)","authors":"Yasir Ahmed Mohammed Elhadi, Azza Mehanna, Yusuff Adebayo Adebisi, Mohammad Yasir Essar, Haider M. El Saeh, Saddam Abdulhakem Alnahari, Omar Hassan Alenezi, Diala El Chbib, Zahraa Yahya, Eiman Ahmed, Shoaib Ahmad, Saad Uakkas, Majdi Mohammed Sabahelzain, Bushra Ahmed Alyamani, Arash Nemat, Don Eliseo Lucero- Prisno III, Ashraf Zaghloul","methodology":"Internet","sample_size":"2806","target_pop":"Healthcare workers","scale":"Cross-country","quality_check":"No","impact_factor":"","access_type":"Paper/Brief","source_comment":"Targets: mix of Physicians, Nurses, Pharmacists)\nEMRO countries: Egypt, Sudan, Yemen, Libya, Kuwait, Iraq, Morocco, Afghanistan, Pakistan,  Lebanon","publication_channel":"MedRxiv","link":"https://doi.org/10.1101/2021.03.20.21253892","source_date":"2021-06-13T00:00:00","key_words":"vaccine acceptance","source_status":"Processed","frequency":"","sample_type":"Convenience/Snowball","insert_date":"2021-09-28T00:00:00","data_key":"S310"},{"source_id":"S311","organisation":"Wollo University","title":"Knowledge, Attitude and Practice Toward COVID-19 Pandemic Among Population Visiting Dessie Health Center for COVID-19 Screening, Northeast Ethiopia","details":"The aim of the present study was to determine the magnitude of knowledge, attitude, and practice toward COVID-19 among the population who visited the health center for COVID-19 screening","authors":"Daniel Gebretsadik, Saba Gebremichael, Melaku Ashagrie Belete ","methodology":"MISC","sample_size":"384","target_pop":"All","scale":"Localized","quality_check":"Peer review","impact_factor":"","access_type":"Journal","source_comment":"Survey method: random sample of people visiting the Health Centre to get tested","publication_channel":"Dovepress","link":"http://doi.org/10.2147/IDR.S297047","source_date":"2021-03-05T00:00:00","key_words":"public awareness, public practice, protective measures (KAP)","source_status":"Processed","frequency":"","sample_type":"Convenience/Snowball","insert_date":"2021-09-28T00:00:00","data_key":"S311"},{"source_id":"S312","organisation":"BBC MEDIA ACTION","title":"Zambia insights report with qual and quant data","details":"This report presents findings from the COVID 19 behavioural insights tool and qualitative discussion guide. The project sought to integrate the social and behavioural sciences into the pandemic response across the WHO African region and to use data to build and develop interventions","authors":"BBC MEDIA ACTION, WHO","methodology":"MISC","sample_size":"1024","target_pop":"All","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"\nThe sample used for the survey in Zambia drew on BBC Media Action’s telephone database which included previous research or radio show participants, members of disability associations throughout the country, as well as people who belong to radio listening groups. Sampling was therefore non-random. Quotas were set for province, age, gender, location and SEC. The data is therefore self-weighting and retrospective weights were not applied prior to analysis.","publication_channel":"BBC Action Media","link":"https://www.bbc.co.uk/mediaaction/our-work/covid-19/","source_date":"2021-04-30T00:00:00","key_words":"public awareness, public practice, protective measures, risk perception (KAP), vaccine acceptance","source_status":"Processed","frequency":"","sample_type":"Stratified","insert_date":"2021-09-28T00:00:00","data_key":"S312"},{"source_id":"S313","organisation":"BBC MEDIA ACTION","title":"Nigeria insights report with qual and quant data","details":"This report presents findings from the COVID 19 behavioural insights tool and qualitative discussion guide. The project sought to integrate the social and behavioural sciences into the pandemic response across the WHO African region and to use data to build and develop interventions","authors":"BBC MEDIA ACTION, WHO","methodology":"MISC","sample_size":"1138","target_pop":"All","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Quotas were set for state, age, gender and SEC. The data is self-weighting and retrospective weights were not applied prior to analysis. ","publication_channel":"BBC Action Media","link":"https://www.bbc.co.uk/mediaaction/our-work/covid-19/","source_date":"2021-05-12T00:00:00","key_words":"public awareness, public practice, protective measures, risk perception (KAP), vaccine acceptance","source_status":"Processed","frequency":"","sample_type":"Stratified","insert_date":"2021-09-28T00:00:00","data_key":"S313"},{"source_id":"S314","organisation":"The Asia Foundation and Tebbutt Research","title":"COVID-19 AWARENESS, ONLINE DISCOURSE, AND VACCINE DISTRIBUTION IN MELANESIA. Evidence and Analysis from Fiji, Papua New Guinea, and Vanuatu","details":"This report presents overall findings and analysis of perception survey data on Covid-19 awareness and information consumption in three countries within the subregion of Melanesia: Fiji, Papua New Guinea, and Vanuatu. To contextualize these findings, the report also examines trends and patterns of discourse on Covid-19 within large social media communities in each country","authors":"John Karr, Romitesh Kant, Leanne Jorari, Tess Newton Cain","methodology":"Phone","sample_size":"500","target_pop":"All","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Denominator: 500 for the 3 countries (PNG, Fidji and Vanuatu","publication_channel":"The Asia Fundation","link":"https://asiafoundation.org/wp-content/uploads/2021/04/Pacific-Islands_Covid-19-awareness-online-discourse-and-vaccine-distribution-in-Melanesia.pdf","source_date":"1905-07-13T00:00:00","key_words":"public awareness, public practice, protective measures (KAP), risk perception","source_status":"Processed","frequency":"","sample_type":"Stratified","insert_date":"2021-09-28T00:00:00","data_key":"S314"},{"source_id":"S315","organisation":"FERDI","title":"Perception de la Covid et comportement des me´nages au Burkina Faso :\nUne analyse sur donne´es d’enque^te","details":"We examine these various issues based on data from a survey conducted in Burkina Faso in May-June 2020. The results show that the measures adopted by the authorities to limit the spread of the pandemic are generally fairly well respected. The vast majority of respondents take the epidemic very seriously and consider that the health consequences, and even more so the economic consequences, will be serious. The survey also shows that a large proportion of respondents are concerned about the consequences of the epidemic on the deepening of inequalities and the increase in violence and insecurity. The results highlight both common features and great heterogeneity in perception and behavioral response at the individual and regional levels, thus providing useful information for Burkina Faso's decision-makers to better calibrate the prevention strategies to be implemented as the pandemic accelerates in Burkina as in other African countries and the prospect of broad immunization coverage remains both distant and highly uncertain.","authors":"Jacky Mathonnat, Martine Audibert, Vincent Nossek","methodology":"MISC","sample_size":"1000","target_pop":"All","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"","publication_channel":"Ferdi","link":"https://ferdi.fr/dl/df-UBHHnPLN1Ccpmfh4LJxppBHM/wp286-ferdi-perception-de-la-covid-et-comportement-des-menages-au-burkina-faso.pdf","source_date":"2021-03-01T00:00:00","key_words":"public awareness, public practice, protective measures (KAP), risk perception, trust","source_status":"Processed","frequency":"","sample_type":"Stratified","insert_date":"2021-09-28T00:00:00","data_key":"S315"},{"source_id":"S316","organisation":"University of Macau","title":"Attitudes Toward COVID-19 Vaccines in Chinese Adolescents","details":"The aim of this study was to examine the acceptance of and attitudes toward COVID-19 vaccines, and their associated factors among adolescents in China","authors":"Hong Cai, Wei Bai, Shou Liu, Huanzhong Liu, Xu Chen, Han Qi, Rui Liu, Teris Cheung, Zhaohui Su, Chee H. Ng and Yu-Tao Xiang","methodology":"Texting survey","sample_size":"1057","target_pop":"Adolescents","scale":"National","quality_check":"Peer review","impact_factor":"","access_type":"Journal","source_comment":"","publication_channel":"Frontiers in Medecine","link":"https://doi.org/10.3389/fmed.2021.691079","source_date":"2021-07-21T00:00:00","key_words":"vaccine acceptance","source_status":"Processed","frequency":"","sample_type":"Convenience/Snowball","insert_date":"2021-09-28T00:00:00","data_key":"S316"},{"source_id":"S317","organisation":"Beirut Arab University","title":"Knowledge, Attitude, and Practice of the Lebanese Community Toward COVID-19","details":"This study aimed to reflect the Lebanese population adherence by determining their level of knowledge and practice during this pandemic.","authors":"Souraya Domiati, Mohamad Itani and Ghida Itani","methodology":"Texting survey","sample_size":"410","target_pop":"All","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Journal","source_comment":"5% margin error\nApproval: Beirut Arab University Institution Review Board waived the approval for this study","publication_channel":"Frontiers in Medecine","link":"https://doi.org/10.3389/fmed.2020.00542","source_date":"2021-08-18T00:00:00","key_words":"public awareness, public practice, protective measures (KAP)","source_status":"Processed","frequency":"","sample_type":"Stratified","insert_date":"2021-09-28T00:00:00","data_key":"S317"},{"source_id":"S318","organisation":"European University Cyprus","title":"Attitudes and Acceptance of COVID-19 Vaccination Among Nurses and Midwives in Cyprus: A Cross-Sectional Survey","details":"This study aimed to determine the COVID-19 vaccination intention among nurses and midwives in Cyprus and reveal the influential factors that affected their decision.","authors":"Georgia Fakonti, Maria Kyprianidou, Giannos Toumbis and Konstantinos Giannakou","methodology":"MISC","sample_size":"436","target_pop":"Healthcare workers","scale":"National","quality_check":"Peer review","impact_factor":"","access_type":"Journal","source_comment":"Target: Nurses and midwives\nSome limitations should be considered in interpreting the findings. Our sample was limited to nurses and midwives; therefore, our findings cannot be extrapolated to other healthcare professionals","publication_channel":"Frontiers in Public Health","link":"https://doi.org/10.3389/fpubh.2021.656138","source_date":"2021-06-16T00:00:00","key_words":"Vaccine acceptance","source_status":"Processed","frequency":"","sample_type":"Convenience/Snowball","insert_date":"2021-09-28T00:00:00","data_key":"S318"},{"source_id":"S319","organisation":"Gandaki Medical College","title":"Risk Perception and Hesitancy Toward COVID-19 Vaccination Among Healthcare Workers and Staff at a Medical College in Nepal","details":"The study was conducted to explore the perception of healthcare workers and staff towards the risk of COVID-19 vaccination and to study vaccine hesitancy amongst them.","authors":"Sabita Paudel, Subish Palaian, Pathiyil Ravi Shankar, Nuwadatta Subedi","methodology":"MISC","sample_size":"266","target_pop":"Healthcare workers","scale":"National","quality_check":"Peer review","impact_factor":"","access_type":"Journal","source_comment":"Target pop: article says Health workers. It is actually Hospital staff (including general workers, admin and managerial roles)","publication_channel":"Dovepress","link":"https://doi.org/10.2147/RMHP.S310289","source_date":"2021-06-01T00:00:00","key_words":"Vaccine acceptance","source_status":"Processed","frequency":"","sample_type":"Convenience/Snowball","insert_date":"2021-09-28T00:00:00","data_key":"S319"},{"source_id":"S320","organisation":"Ulster University","title":"Psychological characteristics associated with COVID-19 vaccine hesitancy and resistance in Ireland and the United Kingdom","details":"We sought to determine what proportions of the general adult populations of Ireland and the UK were accepting of, hesitant about, or resistant to a vaccine for COVID-19.","authors":"Jamie Murphy, Frédérique Vallières, Richard P. Bentall, Mark Shevlin, Orla McBride, Todd K. Hartman, Ryan McKay, Kate Bennett, Liam Mason, Jilly Gibson-Miller, Liat Levita, Anton P. Martinez, Thomas V. A. Stocks, Thanos Karatzias & Philip Hyland","methodology":"Internet","sample_size":"3066","target_pop":"Unspecified","scale":"National","quality_check":"Peer review","impact_factor":"","access_type":"Journal","source_comment":"2 countries surveyed: UK and Ireland with 2 separate samples\n\"Study limitations: \n- First,quota sampling used to recruit both non-probability-based samples via the internet. \n- Second, these data were collected during the first week of the strictest lockdown measures that had ever been imposed in Ireland and the UK, respectively. Thus, rates of vaccine acceptance, hesitance, and resistance will have been affected by these social circumstances. \n- Third, questions were answered with regards to a hypothetical vaccine whose effectiveness, risk of adverse side-effects, and contraindications were unknown.\"\n+ Paid survey","publication_channel":"Nature Communication","link":"https://doi.org/10.1038/s41467-020-20226-9","source_date":"2021-01-04T00:00:00","key_words":"Vaccine acceptance","source_status":"Processed","frequency":"","sample_type":"Stratified","insert_date":"2021-09-28T00:00:00","data_key":"S320"},{"source_id":"S321","organisation":"Rwanda Biomedical Centre","title":"Knowledge, attitudes and preventive practices towards COVID-19 among frontline healthcare workers in Rwanda","details":"The aim of the study was to assess knowledge, attitudes and preventive practices towards COVID-19 among frontline healthcare workers in Rwanda","authors":"Ndishimye Pacifique, Nkeshimana Menelas, Hitimana Nadia, Turatsinze David, Nahayo Ernest, Byiringiro Fidele, Habinshuti Mike, Nyamusore Jose, Nyamwasa Daniel, Yvonne Kayiteshonga, Mutesa Leon, Nsanzimana Sabin","methodology":"Internet","sample_size":"177","target_pop":"Healthcare workers","scale":"National","quality_check":"Peer review","impact_factor":"","access_type":"Journal","source_comment":"","publication_channel":"Bioline.org","link":"http://www.bioline.org.br/pdf?rp20006","source_date":"2020-04-20T00:00:00","key_words":"public awareness, public practice, protective measures (KAP)","source_status":"Processed","frequency":"","sample_type":"Convenience/Snowball","insert_date":"2021-09-28T00:00:00","data_key":"S321"},{"source_id":"S322","organisation":"Palang Herah Indonesia","title":"Suara Komunitas - Community's voice: The community's perception of Covid-19","details":"Community Voices bulletin presents a compilation of the community's perception, collected during a survey on the new coronavirus epidemic or COVID-19 in Indonesia. The Community Voices was compiled to provide information on the condition of the stakeholders in the communities including humanitarian agencies, the government, and community organisations to make decisions and adapt their COVID-19 control programmes.","authors":"PMI, IFRC, UNICEF, UN OCHA, BNPB - Aulia Arriani, Hasna Pradityas, Lina Sofiani, Nancy Geyza Iwisara, Yoana Anandita, Endang Sri Utami, Mindaraga Rahardja, Yenuariski, Nursila Dewi","methodology":"Internet","sample_size":"","target_pop":"Unspecified","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Methodologiy: Compilation of 28 surveys in total, conducted by 18 institutions - Time frame of the surveys compiled is Feb to Jun 2020 - Target pop and sample unknown.\nLimitations: Difference in the methodology of data collection, target population. Largest coverage at the national level was conducted online => unable to reach the community without INternet access or online devices","publication_channel":"Releifweb.int","link":"https://reliefweb.int/sites/reliefweb.int/files/resources/suara_komunitas_covid-19_aug_1_english_fin.pdf","source_date":"2020-08-31T00:00:00","key_words":"public awareness, public practice, protective measures (KAP), perception","source_status":"Processed","frequency":"","sample_type":"MISC","insert_date":"2021-09-28T00:00:00","data_key":"S322"},{"source_id":"S323","organisation":"UN WOMEN","title":"Covid-19 rapid gender assessment - Gender perspective (Malawi 2020)","details":"The overall aim of this study was to collect data and compile reports about the effect of COVID-19 on the life circumstances of women and men in Malawi.","authors":"UN WOMEN, WOMEN COUNT, UNFPA","methodology":"Phone","sample_size":"2480","target_pop":"Unspecified","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Sample: \"stratified\" TBC. \"self quotas applied post data collection (Urben/riral)\nMargin error: +/- 2% at 95% confidence level\nEven though all efforts were made to ensure that the sample was representative of the population of Malawi, the findings suggest potential biases in the sample of women, towards socio-economically better-off women. The measures used to determine socio-economic status were evidently not strong enough.","publication_channel":"UN Women","link":"https://data.unwomen.org/publications/covid-19-rapid-gender-assessment-malawi","source_date":"2021-05-26T00:00:00","key_words":"Social and eoconomic impact","source_status":"Processed","frequency":"","sample_type":"Stratified","insert_date":"2021-09-28T00:00:00","data_key":"S323"},{"source_id":"S324","organisation":"UN WOMEN","title":"Covid-19 rapid gender assessment - Gender perspective (Uganda 2020)","details":"The main objective of the assessment was to collect information (using CATI) and compile reports about the effect of COVID-19 on the life circumstances of women and men in Uganda.\nThe specific objectives are:\n- To assess the effect of COVID-19 on protection and security.\n- To assess the effect of COVID-19 on household incomes and livelihoods.\n- To assess the effect of COVID-19 on access to financial services, healthcare services, food, and sufficient water.\n- To assess the trends of GBV and related harmful practices (FGM and child marriages) as a result of COVID-19.\n- To assess the trends of SRHR services during the pandemic.","authors":"UN WOMEN, WOMEN COUNT, UNFPA, UBOS, REPUBLIC OF UGANDA","methodology":"Phone","sample_size":"3001","target_pop":"Unspecified","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"Random stratified sampling\nMargin error: +/- 2% at 95% confidence level","publication_channel":"UN Women","link":"https://data.unwomen.org/publications/covid-19-rapid-gender-assessment-uganda","source_date":"2021-05-26T00:00:00","key_words":"Social and eoconomic impact","source_status":"Processed","frequency":"","sample_type":"Stratified","insert_date":"2021-09-28T00:00:00","data_key":"S324"},{"source_id":"S325","organisation":"UN WOMEN","title":"Covid-19 rapid gender assessment - Gender perspective (Mozambique 2020)","details":"The study was aimed at providing policy and decision-makers with reliable evidence and in- formation to plan and craft appropriate advocacy messages and interventions in the coming months for recovery in: health; livelihood and economic wellbeing; the distribution of unpaid care work; and the extent of gender-based violence (GBV)","authors":"UN WOMEN, WOMEN COUNT, UNFPA, UBOS, ILO","methodology":"Phone","sample_size":"2421","target_pop":"Unspecified","scale":"National","quality_check":"Internal review","impact_factor":"","access_type":"Report","source_comment":"The sample was composed in such a way that it conformed to predetermined quotas that were representative of the population by age, sex and location\nSoft quotas were applied post-collection by rural/urban and living standards measure (household monthly expenditure). The survey is thus representative of mobile phone owners, but instead of representing mobile phone woners, sampling and qoutas were adjusted to reflect the demographics of the population by age, sex, and location.\nMargin error: +/- 2% at 95% confidence level","publication_channel":"UN Women","link":"https://data.unwomen.org/publications/covid-19-rapid-gender-assessment-mozambique","source_date":"2021-05-05T00:00:00","key_words":"Social and eoconomic impact","source_status":"Processed","frequency":"","sample_type":"Stratified","insert_date":"2021-09-28T00:00:00","data_key":"S325"}]