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CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain

The COVID-19 outbreak and the ensuing confinement measures are expected to bear a significant psychological impact on the affected populations. To date, all available studies designed to investigate the psychological effects of this unprecedented global crisis are based on cross-sectional surveys th...

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Autores principales: Bailon, Carlos, Goicoechea, Carmen, Banos, Oresti, Damas, Miguel, Pomares, Hector, Correa, Angel, Sanabria, Daniel, Perakakis, Pandelis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576809/
https://www.ncbi.nlm.nih.gov/pubmed/33082338
http://dx.doi.org/10.1038/s41597-020-00700-1
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author Bailon, Carlos
Goicoechea, Carmen
Banos, Oresti
Damas, Miguel
Pomares, Hector
Correa, Angel
Sanabria, Daniel
Perakakis, Pandelis
author_facet Bailon, Carlos
Goicoechea, Carmen
Banos, Oresti
Damas, Miguel
Pomares, Hector
Correa, Angel
Sanabria, Daniel
Perakakis, Pandelis
author_sort Bailon, Carlos
collection PubMed
description The COVID-19 outbreak and the ensuing confinement measures are expected to bear a significant psychological impact on the affected populations. To date, all available studies designed to investigate the psychological effects of this unprecedented global crisis are based on cross-sectional surveys that do not capture emotional variations over time. Here, we present the data from CoVidAffect, a nationwide citizen science project aimed to provide longitudinal data of mood changes following the COVID-19 outbreak in the spanish territory. Spain is among the most affected countries by the pandemic, with one of the most restrictive and prolonged lockdowns worldwide. The project also collected a baseline of demographic and socioeconomic data. These data can be further analyzed to quantify emotional responses to specific measures and policies, and to understand the effect of context variables on psychological resilience. Importantly, to our knowledge this is the first dataset that offers the opportunity to study the behavior of emotion dynamics in a prolonged lockdown situation.
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spelling pubmed-75768092020-10-23 CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain Bailon, Carlos Goicoechea, Carmen Banos, Oresti Damas, Miguel Pomares, Hector Correa, Angel Sanabria, Daniel Perakakis, Pandelis Sci Data Data Descriptor The COVID-19 outbreak and the ensuing confinement measures are expected to bear a significant psychological impact on the affected populations. To date, all available studies designed to investigate the psychological effects of this unprecedented global crisis are based on cross-sectional surveys that do not capture emotional variations over time. Here, we present the data from CoVidAffect, a nationwide citizen science project aimed to provide longitudinal data of mood changes following the COVID-19 outbreak in the spanish territory. Spain is among the most affected countries by the pandemic, with one of the most restrictive and prolonged lockdowns worldwide. The project also collected a baseline of demographic and socioeconomic data. These data can be further analyzed to quantify emotional responses to specific measures and policies, and to understand the effect of context variables on psychological resilience. Importantly, to our knowledge this is the first dataset that offers the opportunity to study the behavior of emotion dynamics in a prolonged lockdown situation. Nature Publishing Group UK 2020-10-20 /pmc/articles/PMC7576809/ /pubmed/33082338 http://dx.doi.org/10.1038/s41597-020-00700-1 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Bailon, Carlos
Goicoechea, Carmen
Banos, Oresti
Damas, Miguel
Pomares, Hector
Correa, Angel
Sanabria, Daniel
Perakakis, Pandelis
CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain
title CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain
title_full CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain
title_fullStr CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain
title_full_unstemmed CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain
title_short CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain
title_sort covidaffect, real-time monitoring of mood variations following the covid-19 outbreak in spain
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576809/
https://www.ncbi.nlm.nih.gov/pubmed/33082338
http://dx.doi.org/10.1038/s41597-020-00700-1
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