Pandemic Recovery Survey
Haensch, Anna-Carolina;
Kreuter, Frauke;
La Motte-Kerr, W.Li, Yao; Stewart, Kathleen; Weber, Wiebke; Zins, Stefan; Castro, Emma; Deen, Amanda; Ewald, Louisa M.; Gakidou, Emmanuela; Gillespie, Catherine W.; Huntely, Bethany M.; Tracy, Alison; Mokdad, Ali H.; Bellettiere, John; Farag, Tamer H.; Lee, Kristina; Palani, Sid GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2631
Abstract: The Pandemic Recovery Survey aims to study the impacts of COVID-19 across the world and to assist public health officials in focusing their efforts to recover from the pandemic and allocate resources. It includes questions about people’s access to health information, support, and care, their confidence in vaccines, household financial and food (in)security as well as their socio-demographic characteristics. People from 21 countries around the globe are invited to participate via Facebook.
Availability: Free access (with registration)
License: The use of the data is permitted for public health stakeholders. If the data is used, it must be properly cited. Further Distribution of the data is prohibited. Please also note our terms of use when processing and managing the data: https://data.gesis.org/sharing/#!TermsOfUse.
Subject area: [Interdisciplinary and Applied Fields of the Social Sciences [=] Medicine, Social Medicine]
Methodology
Date(s) of Data Collection: 2023-03; 2023-05
Geographic coverage: [Chile / CL [=] Japan / JP [=] Nigeria / NG [=] Peru / PE [=] Argentina / AR [=] Brazil / BR [=] Colombia / CO [=] Egypt / EG [=] Germany / DE [=] India / IN [=] Indonesia / ID [=] Italy / IT [=] Mexico / MX [=] Philippines / PH [=] Poland / PL [=] South Africa / ZA [=] Spain / ES [=] Turkey / TR [=] United Kingdom of Great Britain and Northern Ire ... more Universe: The sample for the Pandemic Recovery Survey was originally designed to provide serial estimates of key economic, educational, and health indicators among specific subpopulations in 21 countries globally. The sampling frame was the Facebook Active User Base (FAUB) ages 18+. Due to budget constraints and changing priorities, we only fielded one cross ... more Sampling Procedure: Probability Sample – Stratified Sample
Temporal Research Design: cross-section
Mode of Data Collection: Self-administered questionnaire
Bibliographic information
Primärforschende, Institution: Haensch, Anna-Carolina; Ludwig Maximilian University of Munich | Kreuter, Frauke; Ludwig Maximilian University of Munich | La Motte-Kerr, W.; University of Maryland | Li, Yao; University of Maryland | Stewart, Kathleen; University of Maryland | Weber, Wiebke; Ludwig Maximilian University of Munich | Zins, Stefan; University of Maryland | Castro, Em ... more Publication year: 2024
DOI: 10.7802/2631
Study number: SDN-10.7802-2631
Contributor, Institution, Role: [Gakidou, Emmanuela; Institute For Health Metrics and Evaluation (Project Leader) [=] Mokdad, Ali H.; Institute For Health Metrics and Evaluation (Project Leader) [=] Kreuter, Frauke; Ludwig Maximilian University of Munich (Project Leader) [=] Stewart, Kathleen; University of Maryland (Project Leader) [=] Farag, Tamer H.; Meta (Project Leader) [=] ... more Project funder: Meta Platforms, Inc.
Publisher: GESIS, Cologne
Versions
Current Version: 1.0.0, https://doi.org/10.7802/2631
Reference publications
Publications: Haensch, A., Kreuter, F., La Motte-Kerr, W., Li, Y., Stewart, K., Weber, W., Zins, S., Castro, E., Deen, A., Ewald, L. M., Gakidou, E., Gillespie, C. W., Huntely, B. M., Mokdad, A. H., Bellettiere, J., Farag, T. H., Lee, K., & Palani, S. (2023). Pandemic Response Survey. The University of Maryland. Retrieved from https://healthsurveys.umd.edu
