Publication:

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

Date

Date

Date
2021
Journal Article
Published version
cris.lastimport.scopus2025-06-22T03:34:08Z
cris.lastimport.wos2025-07-28T01:34:43Z
cris.virtual.orcidhttps://orcid.org/0000-0002-8322-2906
cris.virtualsource.orcid003d675f-5a13-481e-9bfa-be172539729d
dc.contributor.institutionUniversity of Zurich
dc.date.accessioned2023-10-16T12:55:47Z
dc.date.available2023-10-16T12:55:47Z
dc.date.issued2021-01-04
dc.description.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.

dc.identifier.doi10.1038/s41597-020-00784-9
dc.identifier.issn2052-4463
dc.identifier.othermerlin-id:24127
dc.identifier.scopus2-s2.0-85098661855
dc.identifier.urihttps://www.zora.uzh.ch/handle/20.500.14742/210644
dc.identifier.wos000604956300001
dc.language.isoeng
dc.subjectLibrary and Information Sciences
dc.subjectStatistics
dc.subjectProbability and Uncertainty
dc.subjectComputer Science Applications
dc.subjectEducation
dc.subjectInformation Systems
dc.subjectStatistics and Probability
dc.subject.ddc330 Economics
dc.title

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

dc.typearticle
dcterms.accessRightsinfo:eu-repo/semantics/openAccess
dcterms.bibliographicCitation.journaltitleScientific Data
dcterms.bibliographicCitation.number1
dcterms.bibliographicCitation.originalpublishernameNature Publishing Group
dcterms.bibliographicCitation.pagestart3
dcterms.bibliographicCitation.pmid33398078
dcterms.bibliographicCitation.volume8
dspace.entity.typePublicationen
uzh.contributor.affiliationKyushu University
uzh.contributor.affiliationCatholic University of Croatia
uzh.contributor.affiliationUniversidad de Granada
uzh.contributor.affiliationIndependent researcher
uzh.contributor.affiliationUniversite Paris-Saclay
uzh.contributor.affiliationThe University of Alabama
uzh.contributor.affiliationAarhus Universitet
uzh.contributor.affiliationColorado State University
uzh.contributor.affiliationUniversity of Kent
uzh.contributor.affiliationTexas A and M International University
uzh.contributor.affiliationIndependent researcher
uzh.contributor.affiliationTampereen Yliopisto
uzh.contributor.affiliationVrije Universiteit Amsterdam
uzh.contributor.affiliationOpen University of the Netherlands
uzh.contributor.affiliationCatholic University of Croatia
uzh.contributor.affiliationUniversity of Wroclaw
uzh.contributor.affiliationSofia University St. Kliment Ohridski
uzh.contributor.affiliationUniversidad Nacional Autónoma de México
uzh.contributor.affiliationUniversité Paris Nanterre
uzh.contributor.affiliationUniversity of Chittagong
uzh.contributor.authorYamada, Yuki
uzh.contributor.authorĆepulić, Dominik-Borna
uzh.contributor.authorColl-Martín, Tao
uzh.contributor.authorDebove, Stéphane
uzh.contributor.authorGautreau, Guillaume
uzh.contributor.authorHan, Hyemin
uzh.contributor.authorRasmussen, Jesper
uzh.contributor.authorTran, Thao P
uzh.contributor.authorTravaglino, Giovanni A
uzh.contributor.authorBlackburn, Angélique M
uzh.contributor.authorBoullu, Loïs
uzh.contributor.authorBujić, Mila
uzh.contributor.authorByrne, Grace
uzh.contributor.authorCaniëls, Marjolein C J
uzh.contributor.authorFlis, Ivan
uzh.contributor.authorKowal, Marta
uzh.contributor.authorRachev, Nikolay R
uzh.contributor.authorReynoso-Alcántara, Vicenta
uzh.contributor.authorZerhouni, Oulmann
uzh.contributor.authorAhmed, Oli
uzh.contributor.correspondenceYes
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uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.document.availabilitypublished_version
uzh.eprint.datestamp2023-10-16 12:55:47
uzh.eprint.lastmod2025-07-28 01:41:02
uzh.eprint.statusChange2023-10-16 12:55:47
uzh.harvester.ethYes
uzh.harvester.nbNo
uzh.identifier.doi10.5167/uzh-237762
uzh.jdb.eprintsId39214
uzh.oastatus.unpaywallgold
uzh.oastatus.zoraGold
uzh.publication.citationYamada, Y., Ćepulić, D.-B., Coll-Martín, T., Debove, S., Gautreau, G., Han, H., Rasmussen, J., Tran, T. P., Travaglino, G. A., Blackburn, A. M., Boullu, L., Bujić, M., Byrne, G., Caniëls, M. C. J., Flis, I., Kowal, M., Rachev, N. R., Reynoso-Alcántara, V., Zerhouni, O., … Stöckli, S. (2021). COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak. Scientific Data, 8, 3. https://doi.org/10.1038/s41597-020-00784-9
uzh.publication.freeAccessAtdoi
uzh.publication.originalworkoriginal
uzh.publication.publishedStatusfinal
uzh.publication.scopedisciplinebased
uzh.scopus.impact90
uzh.scopus.subjectsStatistics and Probability
uzh.scopus.subjectsInformation Systems
uzh.scopus.subjectsEducation
uzh.scopus.subjectsComputer Science Applications
uzh.scopus.subjectsStatistics, Probability and Uncertainty
uzh.scopus.subjectsLibrary and Information Sciences
uzh.workflow.chairSubjectMarketing and Market Research
uzh.workflow.chairSubjectoecIBW1
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uzh.workflow.eprintid237762
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uzh.workflow.sourceCrossref:10.1038/s41597-020-00784-9
uzh.workflow.statusarchive
uzh.wos.impact73
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