Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
Kyushu University, Fukuoka, Japan.
Catholic University of Croatia, Zagreb, Croatia.
University of Granada, Spain.
Independent researcher, La Mure, France.
Show others and affiliations
Number of Authors: 1292021 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 8, no 1, article id 3Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2021. Vol. 8, no 1, article id 3
National Category
Public Health, Global Health, Social Medicine and Epidemiology Psychology
Research subject
Consciousness and Cognitive Neuroscience
Identifiers
URN: urn:nbn:se:his:diva-19364DOI: 10.1038/s41597-020-00784-9ISI: 000604956300001PubMedID: 33398078Scopus ID: 2-s2.0-85098661855OAI: oai:DiVA.org:his-19364DiVA, id: diva2:1514329
Note

CC BY 4.0 (article), CC0 1.0 (metadata files). Co-author: COVIDiSTRESS Global Survey Consortium (P. Sikka included). Correspondence to Yuki Yamada or Andreas Lieberoth.

Available from: 2021-01-05 Created: 2021-01-05 Last updated: 2023-05-03Bibliographically approved

Open Access in DiVA

fulltext(1237 kB)87 downloads
File information
File name FULLTEXT02.pdfFile size 1237 kBChecksum SHA-512
9cd8dca52ce4e6f992af954397592e303268e2a5998b9689cbfdd3a0d92341390509749546738f535b39e648b4c587c2f67c092a46df48390776f9be988d35c7
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Authority records

Sikka, Pilleriin

Search in DiVA

By author/editor
Sikka, Pilleriin
By organisation
School of BioscienceSystems Biology Research Environment
In the same journal
Scientific Data
Public Health, Global Health, Social Medicine and EpidemiologyPsychology

Search outside of DiVA

GoogleGoogle Scholar
Total: 232 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 406 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf