During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.

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Håndteringen af COVID-19-krisen i de anerkendte trossamfund

The COVID-19-pandemic offers a unique, if tragic, opportunity to assess the impact of a worldwide crisis on religion. Theories from various disciplines including the psychology of religion and cultural evolution suggest that crises cause higher levels of religiosity. However, such theories also predict that levels of religiosity should remain stable in the context of well-functioning governments, secular institutions and norms that might address social, epistemic, and material needs in a crisis. While the relationship between crisis and religion have been examined in countries with higher levels of religiosity, it has yet to be extensively empirically assessed in countries with lower levels of religiosity. Here, on the basis of explicit causal assumptions and using Bayesian multilevel modeling, we analyze quasi-representative longitudinal data from Denmark collected over the course of the pandemic from May 2020 to December 2021. Our analysis shows that self-reported religiosity did not increase during the pandemic on average, an inference that is robust to a range of model specifications, including full Bayesian imputation of missing covariates and poststratification. We discuss possible interpretations of this finding and argue for an emphasis on cultural context going forward in theorizing on crises and religion.