@misc{10481/66067,
year = {2021},
url = {http://hdl.handle.net/10481/66067},
abstract = {This N=173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global
Survey – an open science efort to improve understanding of the human experiences of the 2020
COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study
of psychological and behavioural responses to the Coronavirus pandemic and associated government
measures like cancellation of public functions and stay at home orders implemented in many countries.
The dataset contains demographic background variables as well as measures of Asian Disease Problem,
perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust
in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information
behaviours, agreement with the level of government intervention, and compliance with preventive
measures, along with a rich pool of exploratory variables and written experiences. A global consortium
from 39 countries and regions worked together to build and translate a survey with variables of shared
interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic
visualizations are available.},
organization = {Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)

Japan Society for the Promotion of Science

Grants-in-Aid for Scientific Research (KAKENHI)

JP17H00875
JP18K12015
JP20H04581
JP20K14222},
organization = {Grant Agency of the Czech Republic

GC19-09265J},
organization = {Consejo Nacional de Ciencia y Tecnologia (CONACyT)

CVU: 613905},
organization = {FWO},
organization = {HSE University Basic Research Program},
publisher = {NATURE RESEARCH},
keywords = {COVID-19},
keywords = {Consequences},
keywords = {Surveys},
title = {COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak},
doi = {10.1038/s41597-020-00784-9},
author = {Coll Martín, Tao and Yamada, Yuki},
}