COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic
dc.contributor.author | Blackburn, AM | |
dc.contributor.author | Vestergren, S | |
dc.contributor.author | COVIDiSTRESS II Consortium | |
dc.date.accessioned | 2023-02-08T16:21:32Z | |
dc.date.issued | 2022-06-21 | |
dc.date.updated | 2023-02-08T16:12:54Z | |
dc.description.abstract | During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals' experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy. | en_GB |
dc.description.sponsorship | US Department of Education Developing Hispanic-Serving Institutions Program | en_GB |
dc.description.sponsorship | Texas A&M International University (TAMIU) | en_GB |
dc.description.sponsorship | HSE University, RF | en_GB |
dc.identifier.citation | Vol. 9, No. 1, article 331 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41597-022-01383-6 | |
dc.identifier.grantnumber | P031S190304 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/132443 | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/35729305 | en_GB |
dc.relation.url | https://doi.org/10.17605/OSF.IO/36TSD31 | en_GB |
dc.relation.url | http://hdl.handle.net/10871/132444 | |
dc.rights | © The Author(s) 2022, corrected publication 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | en_GB |
dc.subject | COVID-19 | en_GB |
dc.subject | Humans | en_GB |
dc.subject | Pandemics | en_GB |
dc.subject | SARS-CoV-2 | en_GB |
dc.subject | Social Behavior | en_GB |
dc.title | COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-02-08T16:21:32Z | |
dc.identifier.issn | 2052-4463 | |
exeter.article-number | 331 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available on open access from Nature Research via the DOI in this record. | en_GB |
dc.description | Code availability: The data cleaning notebook and list of variables can be obtained freely here: https://doi.org/10.17605/OSF. IO/36TSD31. The data was imported and cleaned using the R software qualtRics, data.table, tidyverse, and multicon. Before analysing the data, it should be noted that invalid cases were excluded and the response options for some variables were recoded to numeric values measuring the degree of agreement (see data cleaning above for details). In some of these options, a neutral value was added to the response options and scored in two different ways. For data quality reasons, we also employed an attention check and filtered data in regard to this check. | en_GB |
dc.description | The author correction to this article is available in ORE at http://hdl.handle.net/10871/132444 | |
dc.identifier.journal | Scientific Data | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-05-11 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-06-21 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-02-08T16:17:29Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2023-02-08T16:21:35Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2022-06-21 |
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copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.