Publication: COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
Date
Date
Date
| cris.lastimport.scopus | 2025-06-22T03:34:08Z | |
| cris.lastimport.wos | 2025-07-28T01:34:43Z | |
| cris.virtual.orcid | https://orcid.org/0000-0002-8322-2906 | |
| cris.virtualsource.orcid | 003d675f-5a13-481e-9bfa-be172539729d | |
| dc.contributor.institution | University of Zurich | |
| dc.date.accessioned | 2023-10-16T12:55:47Z | |
| dc.date.available | 2023-10-16T12:55:47Z | |
| dc.date.issued | 2021-01-04 | |
| 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.doi | 10.1038/s41597-020-00784-9 | |
| dc.identifier.issn | 2052-4463 | |
| dc.identifier.other | merlin-id:24127 | |
| dc.identifier.scopus | 2-s2.0-85098661855 | |
| dc.identifier.uri | https://www.zora.uzh.ch/handle/20.500.14742/210644 | |
| dc.identifier.wos | 000604956300001 | |
| dc.language.iso | eng | |
| dc.subject | Library and Information Sciences | |
| dc.subject | Statistics | |
| dc.subject | Probability and Uncertainty | |
| dc.subject | Computer Science Applications | |
| dc.subject | Education | |
| dc.subject | Information Systems | |
| dc.subject | Statistics and Probability | |
| dc.subject.ddc | 330 Economics | |
| dc.title | COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak | |
| dc.type | article | |
| dcterms.accessRights | info:eu-repo/semantics/openAccess | |
| dcterms.bibliographicCitation.journaltitle | Scientific Data | |
| dcterms.bibliographicCitation.number | 1 | |
| dcterms.bibliographicCitation.originalpublishername | Nature Publishing Group | |
| dcterms.bibliographicCitation.pagestart | 3 | |
| dcterms.bibliographicCitation.pmid | 33398078 | |
| dcterms.bibliographicCitation.volume | 8 | |
| dspace.entity.type | Publication | en |
| uzh.contributor.affiliation | Kyushu University | |
| uzh.contributor.affiliation | Catholic University of Croatia | |
| uzh.contributor.affiliation | Universidad de Granada | |
| uzh.contributor.affiliation | Independent researcher | |
| uzh.contributor.affiliation | Universite Paris-Saclay | |
| uzh.contributor.affiliation | The University of Alabama | |
| uzh.contributor.affiliation | Aarhus Universitet | |
| uzh.contributor.affiliation | Colorado State University | |
| uzh.contributor.affiliation | University of Kent | |
| uzh.contributor.affiliation | Texas A and M International University | |
| uzh.contributor.affiliation | Independent researcher | |
| uzh.contributor.affiliation | Tampereen Yliopisto | |
| uzh.contributor.affiliation | Vrije Universiteit Amsterdam | |
| uzh.contributor.affiliation | Open University of the Netherlands | |
| uzh.contributor.affiliation | Catholic University of Croatia | |
| uzh.contributor.affiliation | University of Wroclaw | |
| uzh.contributor.affiliation | Sofia University St. Kliment Ohridski | |
| uzh.contributor.affiliation | Universidad Nacional Autónoma de México | |
| uzh.contributor.affiliation | Université Paris Nanterre | |
| uzh.contributor.affiliation | University of Chittagong | |
| uzh.contributor.author | Yamada, Yuki | |
| uzh.contributor.author | Ćepulić, Dominik-Borna | |
| uzh.contributor.author | Coll-Martín, Tao | |
| uzh.contributor.author | Debove, Stéphane | |
| uzh.contributor.author | Gautreau, Guillaume | |
| uzh.contributor.author | Han, Hyemin | |
| uzh.contributor.author | Rasmussen, Jesper | |
| uzh.contributor.author | Tran, Thao P | |
| uzh.contributor.author | Travaglino, Giovanni A | |
| uzh.contributor.author | Blackburn, Angélique M | |
| uzh.contributor.author | Boullu, Loïs | |
| uzh.contributor.author | Bujić, Mila | |
| uzh.contributor.author | Byrne, Grace | |
| uzh.contributor.author | Caniëls, Marjolein C J | |
| uzh.contributor.author | Flis, Ivan | |
| uzh.contributor.author | Kowal, Marta | |
| uzh.contributor.author | Rachev, Nikolay R | |
| uzh.contributor.author | Reynoso-Alcántara, Vicenta | |
| uzh.contributor.author | Zerhouni, Oulmann | |
| uzh.contributor.author | Ahmed, Oli | |
| uzh.contributor.correspondence | Yes | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.document.availability | published_version | |
| uzh.eprint.datestamp | 2023-10-16 12:55:47 | |
| uzh.eprint.lastmod | 2025-07-28 01:41:02 | |
| uzh.eprint.statusChange | 2023-10-16 12:55:47 | |
| uzh.harvester.eth | Yes | |
| uzh.harvester.nb | No | |
| uzh.identifier.doi | 10.5167/uzh-237762 | |
| uzh.jdb.eprintsId | 39214 | |
| uzh.oastatus.unpaywall | gold | |
| uzh.oastatus.zora | Gold | |
| uzh.publication.citation | Yamada, 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.freeAccessAt | doi | |
| uzh.publication.originalwork | original | |
| uzh.publication.publishedStatus | final | |
| uzh.publication.scope | disciplinebased | |
| uzh.scopus.impact | 90 | |
| uzh.scopus.subjects | Statistics and Probability | |
| uzh.scopus.subjects | Information Systems | |
| uzh.scopus.subjects | Education | |
| uzh.scopus.subjects | Computer Science Applications | |
| uzh.scopus.subjects | Statistics, Probability and Uncertainty | |
| uzh.scopus.subjects | Library and Information Sciences | |
| uzh.workflow.chairSubject | Marketing and Market Research | |
| uzh.workflow.chairSubject | oecIBW1 | |
| uzh.workflow.doaj | uzh.workflow.doaj.true | |
| uzh.workflow.eprintid | 237762 | |
| uzh.workflow.fulltextStatus | public | |
| uzh.workflow.revisions | 44 | |
| uzh.workflow.rightsCheck | offen | |
| uzh.workflow.source | Crossref:10.1038/s41597-020-00784-9 | |
| uzh.workflow.status | archive | |
| uzh.wos.impact | 73 | |
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