European Political Science · 2020 · 107 citations · 20 references
Public HealthSocial PolicyCrisis ManagementEpidemiologyPublic Health SurveillanceHealth SurveillancePandemic PreparednessPandemic ResponseData AccessPotential Economic ImpactSample Size CalculationSample Size EstimationScientific Understanding
Abstract Systematic and openly accessible data are vital to the scientific understanding of the social, political, and economic consequences of the COVID-19 pandemic. This article introduces the Austrian Corona Panel Project (ACPP), which has generated a unique, publicly available data set from late March 2020 onwards. ACPP has been designed to capture the social, political, and economic impact of the COVID-19 crisis on the Austrian population on a weekly basis. The thematic scope of the study covers several core dimensions related to the individual and societal impact of the COVID-19 crisis. The panel survey has a sample size of approximately 1500 respondents per wave. It contains questions that are asked every week, complemented by domain-specific modules to explore specific topics in more detail. The article presents details on the data collection process, data quality, the potential for analysis, and the modalities of data access pertaining to the first ten waves of the study.
20
The COVID-19 pandemic and health inequalities
Clare Bambra, Ryan Riordan, John Ford et al. · Journal of Epidemiology & Community Health · 2020 · 2K citations · Full text
Risk perceptions of COVID-19 around the world
Sarah Dryhurst, Claudia R. Schneider, John R. Kerr et al. · Journal of Risk Research · 2020 · 1.9K citations · Full text
Tali Sharot · Current Biology · 2011 · 1.2K citations