COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

COVIDiSTRESS Global Survey Consortium

doi:10.1038/s41597-020-00784-9

COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

COVIDiSTRESS Global Survey Consortium

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28 Citations (Scopus)

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Abstract

This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort 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.

Original language	English
Article number	3
Journal	Scientific Data
Volume	8
DOIs	https://doi.org/10.1038/s41597-020-00784-9
Publication status	Published - 04 Jan 2021
Externally published	Yes

Bibliographical note

Funding Information:
The COVIDiSTRESS consortium would like to acknowledge the additional contributions of numerous friends and collaborators in translating and sharing the COVIDiSTRESS survey, even if contributions were small or the person did not wish their name included as a member of the consortium. All funding information is listed in the supplementary material (Figure S1). We also want to address thanks to the IFB (Institut Français de Bioinformatique, https://www.france-bioinformatique.fr/) for hosting the server Shiny illustrating our results. This research was supported by JSPS KAKENHI Grants JP17H00875, JP18K12015, JP20H04581, JP20K14222, Czech Science Foundation GC19-09265J, Consejo Nacional de Ciencia y Tecnologia (Conacyt), Full National Scholarship - MSc degree (CVU: 613905), Research Foundation Flanders (FWO) postdoctoral fellowship, and The HSE University Basic Research Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publisher Copyright:
© 2021, The Author(s).

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s41597-020-00784-9Licence: CC BY

COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
Copyright 2021 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 1.21 MBLicence: CC BY

Cite this

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title = "COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak",

abstract = "This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort 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.",

author = "Yuki Yamada and {\'C}epuli{\'c}, {Dominik Borna} and Tao Coll-Mart{\'i}n and St{\'e}phane Debove and Guillaume Gautreau and Hyemin Han and Jesper Rasmussen and Tran, {Thao P.} and Travaglino, {Giovanni A.} and Blackburn, {Ang{\'e}lique M.} and Lo{\"i}s Boullu and Mila Buji{\'c} and Grace Byrne and Cani{\"e}ls, {Marjolein C.J.} and Ivan Flis and Marta Kowal and Rachev, {Nikolay R.} and Vicenta Reynoso-Alc{\'a}ntara and Oulmann Zerhouni and Oli Ahmed and Rizwana Amin and Sibele Aquino and Areias, {Jo{\~a}o Carlos} and Aruta, {John Jamir Benzon R.} and Dastan Bamwesigye and Jozef Bavolar and Bender, {Andrew R.} and Pratik Bhandari and Tuba Bircan and Huseyin Cakal and Tereza Capelos and Ji{\v r}{\'i} {\v C}en{\v e}k and Brendan Ch{\textquoteright}ng and Chen, {Fang Yu} and Stavroula Chrona and Contreras-Ib{\'a}{\~n}ez, {Carlos C.} and Correa, {Pablo Sebasti{\'a}n} and Irene Cristofori and Wilson Cyrus-Lai and Guillermo Delgado-Garcia and Eliane Deschrijver and Carlos D{\'i}az and İlknur Dilekler and Vilius Dranseika and Dmitrii Dubrov and Kristina Eichel and Eda Ermagan-Caglar and Rebekah Gelp{\'i} and Gonz{\'a}lez, {Rub{\'e}n Flores} and Amanda Griffin and {COVIDiSTRESS Global Survey Consortium}",

note = "Funding Information: The COVIDiSTRESS consortium would like to acknowledge the additional contributions of numerous friends and collaborators in translating and sharing the COVIDiSTRESS survey, even if contributions were small or the person did not wish their name included as a member of the consortium. All funding information is listed in the supplementary material (Figure S1). We also want to address thanks to the IFB (Institut Fran{\c c}ais de Bioinformatique, https://www.france-bioinformatique.fr/) for hosting the server Shiny illustrating our results. This research was supported by JSPS KAKENHI Grants JP17H00875, JP18K12015, JP20H04581, JP20K14222, Czech Science Foundation GC19-09265J, Consejo Nacional de Ciencia y Tecnologia (Conacyt), Full National Scholarship - MSc degree (CVU: 613905), Research Foundation Flanders (FWO) postdoctoral fellowship, and The HSE University Basic Research Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: {\textcopyright} 2021, The Author(s).",

year = "2021",

month = jan,

day = "4",

doi = "10.1038/s41597-020-00784-9",

language = "English",

volume = "8",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

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TY - JOUR

T1 - COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

AU - Yamada, Yuki

AU - Ćepulić, Dominik Borna

AU - Coll-Martín, Tao

AU - Debove, Stéphane

AU - Gautreau, Guillaume

AU - Han, Hyemin

AU - Rasmussen, Jesper

AU - Tran, Thao P.

AU - Travaglino, Giovanni A.

AU - Blackburn, Angélique M.

AU - Boullu, Loïs

AU - Bujić, Mila

AU - Byrne, Grace

AU - Caniëls, Marjolein C.J.

AU - Flis, Ivan

AU - Kowal, Marta

AU - Rachev, Nikolay R.

AU - Reynoso-Alcántara, Vicenta

AU - Zerhouni, Oulmann

AU - Ahmed, Oli

AU - Amin, Rizwana

AU - Aquino, Sibele

AU - Areias, João Carlos

AU - Aruta, John Jamir Benzon R.

AU - Bamwesigye, Dastan

AU - Bavolar, Jozef

AU - Bender, Andrew R.

AU - Bhandari, Pratik

AU - Bircan, Tuba

AU - Cakal, Huseyin

AU - Capelos, Tereza

AU - Čeněk, Jiří

AU - Ch’ng, Brendan

AU - Chen, Fang Yu

AU - Chrona, Stavroula

AU - Contreras-Ibáñez, Carlos C.

AU - Correa, Pablo Sebastián

AU - Cristofori, Irene

AU - Cyrus-Lai, Wilson

AU - Delgado-Garcia, Guillermo

AU - Deschrijver, Eliane

AU - Díaz, Carlos

AU - Dilekler, İlknur

AU - Dranseika, Vilius

AU - Dubrov, Dmitrii

AU - Eichel, Kristina

AU - Ermagan-Caglar, Eda

AU - Gelpí, Rebekah

AU - González, Rubén Flores

AU - Griffin, Amanda

AU - COVIDiSTRESS Global Survey Consortium

N1 - Funding Information: The COVIDiSTRESS consortium would like to acknowledge the additional contributions of numerous friends and collaborators in translating and sharing the COVIDiSTRESS survey, even if contributions were small or the person did not wish their name included as a member of the consortium. All funding information is listed in the supplementary material (Figure S1). We also want to address thanks to the IFB (Institut Français de Bioinformatique, https://www.france-bioinformatique.fr/) for hosting the server Shiny illustrating our results. This research was supported by JSPS KAKENHI Grants JP17H00875, JP18K12015, JP20H04581, JP20K14222, Czech Science Foundation GC19-09265J, Consejo Nacional de Ciencia y Tecnologia (Conacyt), Full National Scholarship - MSc degree (CVU: 613905), Research Foundation Flanders (FWO) postdoctoral fellowship, and The HSE University Basic Research Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: © 2021, The Author(s).

PY - 2021/1/4

Y1 - 2021/1/4

N2 - This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort 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.

AB - This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort 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.

U2 - 10.1038/s41597-020-00784-9

DO - 10.1038/s41597-020-00784-9

M3 - Article

AN - SCOPUS:85098661855

VL - 8

JO - Scientific Data

JF - Scientific Data

SN - 2052-4463

M1 - 3

ER -

COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

Abstract

Bibliographical note

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this