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 journalArticle in a journalpeer-review

2 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 languageEnglish
Article number14514
JournalScientific Reports
Volume12
Issue number1
DOIs
StatePublished - 2022

Bibliographical note

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

Keywords

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

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