Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile

We study how the Chilean population’s well-being responded to the strategy implemented by their health authorities, known as Dynamic Quarantine, to contain the spread of coronavirus in which municipalities periodically entered and exited lockdowns. This unique scheme, together with the population’s...

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Autores principales: Díaz, Fernando, Henríquez, Pablo A., Winkelried, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403981/
https://www.ncbi.nlm.nih.gov/pubmed/36008441
http://dx.doi.org/10.1038/s41598-022-18514-z
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author Díaz, Fernando
Henríquez, Pablo A.
Winkelried, Diego
author_facet Díaz, Fernando
Henríquez, Pablo A.
Winkelried, Diego
author_sort Díaz, Fernando
collection PubMed
description We study how the Chilean population’s well-being responded to the strategy implemented by their health authorities, known as Dynamic Quarantine, to contain the spread of coronavirus in which municipalities periodically entered and exited lockdowns. This unique scheme, together with the population’s socioeconomic heterogeneity, facilitates the estimation of changes in this well-being as differentiated by socioeconomic status. Using Google Trends to compute measures of well-being, we find strong evidence that socioeconomic status induces heterogeneity in these changes; thus, neglecting this heterogeneity may lead to misleading prescriptions for the public policy that addresses the psychological effects of lockdowns.
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spelling pubmed-94039812022-08-25 Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile Díaz, Fernando Henríquez, Pablo A. Winkelried, Diego Sci Rep Article We study how the Chilean population’s well-being responded to the strategy implemented by their health authorities, known as Dynamic Quarantine, to contain the spread of coronavirus in which municipalities periodically entered and exited lockdowns. This unique scheme, together with the population’s socioeconomic heterogeneity, facilitates the estimation of changes in this well-being as differentiated by socioeconomic status. Using Google Trends to compute measures of well-being, we find strong evidence that socioeconomic status induces heterogeneity in these changes; thus, neglecting this heterogeneity may lead to misleading prescriptions for the public policy that addresses the psychological effects of lockdowns. Nature Publishing Group UK 2022-08-25 /pmc/articles/PMC9403981/ /pubmed/36008441 http://dx.doi.org/10.1038/s41598-022-18514-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Díaz, Fernando
Henríquez, Pablo A.
Winkelried, Diego
Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile
title Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile
title_full Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile
title_fullStr Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile
title_full_unstemmed Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile
title_short Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile
title_sort heterogeneous responses in google trends measures of well-being to the covid-19 dynamic quarantines in chile
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403981/
https://www.ncbi.nlm.nih.gov/pubmed/36008441
http://dx.doi.org/10.1038/s41598-022-18514-z
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