Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1783598089305587712 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7576809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bailoncarlos covidaffectrealtimemonitoringofmoodvariationsfollowingthecovid19outbreakinspain AT goicoecheacarmen covidaffectrealtimemonitoringofmoodvariationsfollowingthecovid19outbreakinspain AT banosoresti covidaffectrealtimemonitoringofmoodvariationsfollowingthecovid19outbreakinspain AT damasmiguel covidaffectrealtimemonitoringofmoodvariationsfollowingthecovid19outbreakinspain AT pomareshector covidaffectrealtimemonitoringofmoodvariationsfollowingthecovid19outbreakinspain AT correaangel covidaffectrealtimemonitoringofmoodvariationsfollowingthecovid19outbreakinspain AT sanabriadaniel covidaffectrealtimemonitoringofmoodvariationsfollowingthecovid19outbreakinspain AT perakakispandelis covidaffectrealtimemonitoringofmoodvariationsfollowingthecovid19outbreakinspain |