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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...

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Autores principales: Rusch, Tessa, Han, Yanting, Liang, Dehua, Hopkins, Amber R., Lawrence, Caroline V., Maoz, Uri, Paul, Lynn K., Stanley, Damian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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