COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

Abstract

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.

Fig. 1

Map of data collected during the initial COVIDiSTRESS Global Survey. Only countries with more than 200 participants in the original survey are indicated. Image reproduced from Yamada et al. (2021), under the Creative Commons Attribution 4.0 International Licence.

Fig. 2

Map of data collected for the COVIDiSTRESS II Dataset (N = 15,740). Light pink: Countries with 200 or more participants in the cleaned dataset. Medium Pink: Countries with 100 or more, but less than 200 participants in the cleaned dataset. Salmon: Countries with 30 or more, but less than 100 participants in the cleaned dataset. Dark Pink: Countries with less than 30 participants in the cleaned dataset. Dark Red: Countries only with participants in the raw dataset. Note that small countries may not be represented. Map was created by Angélique Blackburn using mapchart.net, an open-access site created by Minas under the Creative Commons Attribution-ShareAlike 4.0 International License, and is published under the same license as the original work.

Fig. 3

Reliability Values for Each Scale. Overall Cronbach’s alpha values for each survey are represented for the full dataset for each scale. Values for countries with N > 200 are represented on the z-axis to exhibit reliability across sub-samples.