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Policies to influence perceptions about COVID-19 risk: The case of maps

Choropleth disease maps are often used to inform the public about the risks posed by coronavirus disease 2019 (COVID-19). In a survey conducted in the U.S. state of Georgia in June 2020, we randomly assigned respondents to view either of two maps. The first map reported county-level COVID case count...

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Detalles Bibliográficos
Autores principales: Engel, Claudia, Rodden, Jonathan, Tabellini, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932671/
https://www.ncbi.nlm.nih.gov/pubmed/35302842
http://dx.doi.org/10.1126/sciadv.abm5106
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author Engel, Claudia
Rodden, Jonathan
Tabellini, Marco
author_facet Engel, Claudia
Rodden, Jonathan
Tabellini, Marco
author_sort Engel, Claudia
collection PubMed
description Choropleth disease maps are often used to inform the public about the risks posed by coronavirus disease 2019 (COVID-19). In a survey conducted in the U.S. state of Georgia in June 2020, we randomly assigned respondents to view either of two maps. The first map reported county-level COVID case counts; the second displayed case rates per 100,000 people. Respondents who saw case rate maps were less likely to perceive COVID as mostly an urban problem and reported higher levels of concerns about the virus. Case rate maps also increased support for policies aimed at mitigating the spread of the virus, although, for this outcome, the effect was quantitatively small and the maps did not change individuals’ self-reported behavior. For several outcomes, the impact of the case rate map was strongest for rural residents and self-identified Republicans, both of whom were less worried about the virus and more skeptical about public health measures to mitigate its spread.
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spelling pubmed-89326712022-03-31 Policies to influence perceptions about COVID-19 risk: The case of maps Engel, Claudia Rodden, Jonathan Tabellini, Marco Sci Adv Social and Interdisciplinary Sciences Choropleth disease maps are often used to inform the public about the risks posed by coronavirus disease 2019 (COVID-19). In a survey conducted in the U.S. state of Georgia in June 2020, we randomly assigned respondents to view either of two maps. The first map reported county-level COVID case counts; the second displayed case rates per 100,000 people. Respondents who saw case rate maps were less likely to perceive COVID as mostly an urban problem and reported higher levels of concerns about the virus. Case rate maps also increased support for policies aimed at mitigating the spread of the virus, although, for this outcome, the effect was quantitatively small and the maps did not change individuals’ self-reported behavior. For several outcomes, the impact of the case rate map was strongest for rural residents and self-identified Republicans, both of whom were less worried about the virus and more skeptical about public health measures to mitigate its spread. American Association for the Advancement of Science 2022-03-18 /pmc/articles/PMC8932671/ /pubmed/35302842 http://dx.doi.org/10.1126/sciadv.abm5106 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Social and Interdisciplinary Sciences
Engel, Claudia
Rodden, Jonathan
Tabellini, Marco
Policies to influence perceptions about COVID-19 risk: The case of maps
title Policies to influence perceptions about COVID-19 risk: The case of maps
title_full Policies to influence perceptions about COVID-19 risk: The case of maps
title_fullStr Policies to influence perceptions about COVID-19 risk: The case of maps
title_full_unstemmed Policies to influence perceptions about COVID-19 risk: The case of maps
title_short Policies to influence perceptions about COVID-19 risk: The case of maps
title_sort policies to influence perceptions about covid-19 risk: the case of maps
topic Social and Interdisciplinary Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932671/
https://www.ncbi.nlm.nih.gov/pubmed/35302842
http://dx.doi.org/10.1126/sciadv.abm5106
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