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COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic
The COVID-19 pandemic has caused enormous societal upheaval globally. In the US, beyond the devastating toll on life and health, it triggered an economic shock unseen since the great depression and laid bare preexisting societal inequities. The full impacts of these personal, social, economic, and p...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897616/ https://www.ncbi.nlm.nih.gov/pubmed/36737442 http://dx.doi.org/10.1038/s41597-022-01901-6 |
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author | Rusch, Tessa Han, Yanting Liang, Dehua Hopkins, Amber R. Lawrence, Caroline V. Maoz, Uri Paul, Lynn K. Stanley, Damian A. |
author_facet | Rusch, Tessa Han, Yanting Liang, Dehua Hopkins, Amber R. Lawrence, Caroline V. Maoz, Uri Paul, Lynn K. Stanley, Damian A. |
author_sort | Rusch, Tessa |
collection | PubMed |
description | The COVID-19 pandemic has caused enormous societal upheaval globally. In the US, beyond the devastating toll on life and health, it triggered an economic shock unseen since the great depression and laid bare preexisting societal inequities. The full impacts of these personal, social, economic, and public-health challenges will not be known for years. To minimize societal costs and ensure future preparedness, it is critical to record the psychological and social experiences of individuals during such periods of high societal volatility. Here, we introduce, describe, and assess the COVID-Dynamic dataset, a within-participant longitudinal study conducted from April 2020 through January 2021, that captures the COVID-19 pandemic experiences of >1000 US residents. Each of 16 timepoints combines standard psychological assessments with novel surveys of emotion, social/political/moral attitudes, COVID-19-related behaviors, tasks assessing implicit attitudes and social decision-making, and external data to contextualize participants’ responses. This dataset is a resource for researchers interested in COVID-19-specific questions and basic psychological phenomena, as well as clinicians and policy-makers looking to mitigate the effects of future calamities. |
format | Online Article Text |
id | pubmed-9897616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98976162023-02-05 COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic Rusch, Tessa Han, Yanting Liang, Dehua Hopkins, Amber R. Lawrence, Caroline V. Maoz, Uri Paul, Lynn K. Stanley, Damian A. Sci Data Data Descriptor The COVID-19 pandemic has caused enormous societal upheaval globally. In the US, beyond the devastating toll on life and health, it triggered an economic shock unseen since the great depression and laid bare preexisting societal inequities. The full impacts of these personal, social, economic, and public-health challenges will not be known for years. To minimize societal costs and ensure future preparedness, it is critical to record the psychological and social experiences of individuals during such periods of high societal volatility. Here, we introduce, describe, and assess the COVID-Dynamic dataset, a within-participant longitudinal study conducted from April 2020 through January 2021, that captures the COVID-19 pandemic experiences of >1000 US residents. Each of 16 timepoints combines standard psychological assessments with novel surveys of emotion, social/political/moral attitudes, COVID-19-related behaviors, tasks assessing implicit attitudes and social decision-making, and external data to contextualize participants’ responses. This dataset is a resource for researchers interested in COVID-19-specific questions and basic psychological phenomena, as well as clinicians and policy-makers looking to mitigate the effects of future calamities. Nature Publishing Group UK 2023-02-03 /pmc/articles/PMC9897616/ /pubmed/36737442 http://dx.doi.org/10.1038/s41597-022-01901-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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. The 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Rusch, Tessa Han, Yanting Liang, Dehua Hopkins, Amber R. Lawrence, Caroline V. Maoz, Uri Paul, Lynn K. Stanley, Damian A. COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic |
title | COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic |
title_full | COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic |
title_fullStr | COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic |
title_full_unstemmed | COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic |
title_short | COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic |
title_sort | covid-dynamic: a large-scale longitudinal study of socioemotional and behavioral change across the pandemic |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897616/ https://www.ncbi.nlm.nih.gov/pubmed/36737442 http://dx.doi.org/10.1038/s41597-022-01901-6 |
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