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

Fernando Díaz; Pablo A. Henríquez; Diego Winkelried

doi:10.1038/s41598-022-18514-z

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

Fernando Díaz, Pablo A. Henríquez, Diego Winkelried

Research output: Contribution to journal › Article in a journal › peer-review

4 Scopus citations

Abstract

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.

Original language	English
Article number	14514
Journal	Scientific Reports
Volume	12
Issue number	1
DOIs	https://doi.org/10.1038/s41598-022-18514-z
State	Published - 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

Keywords

COVID-19/epidemiology
Chile/epidemiology
Communicable Disease Control
Humans
Quarantine/psychology
Search Engine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41598-022-18514-z

Cite this

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

abstract = "We study how the Chilean population{\textquoteright}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{\textquoteright}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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Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile

Abstract

Bibliographical note

Keywords

UN SDGs

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