Viewing the US presidential electoral map through the lens of public health.

Health, disease, and mortality vary greatly at the county level, and there are strong geographical trends of disease in the United States. Healthcare is and has been a top priority for voters in the U.S., and an important political issue. Consequently, it is important to determine what relationship...

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Autores principales: Tymor Hamamsy, Michael Danziger, Jonathan Nagler, Richard Bonneau
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/38f5ee22e8b34e428f2f34f5bc35b8d7
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spelling oai:doaj.org-article:38f5ee22e8b34e428f2f34f5bc35b8d72021-12-02T20:06:46ZViewing the US presidential electoral map through the lens of public health.1932-620310.1371/journal.pone.0254001https://doaj.org/article/38f5ee22e8b34e428f2f34f5bc35b8d72021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254001https://doaj.org/toc/1932-6203Health, disease, and mortality vary greatly at the county level, and there are strong geographical trends of disease in the United States. Healthcare is and has been a top priority for voters in the U.S., and an important political issue. Consequently, it is important to determine what relationship voting patterns have with health, disease, and mortality, as doing so may help guide appropriate policy. We performed a comprehensive analysis of the relationship between voting patterns and over 150 different public health and wellbeing variables at the county level, comparing all states, including counties in 2016 battleground states, and counties in states that flipped from majority Democrat to majority Republican from 2012 to 2016. We also investigated county-level health trends over the last 30+ years and find statistically significant relationships between a number of health measures and the voting patterns of counties in presidential elections. Collectively, these data exhibit a strong pattern: counties that voted Republican in the 2016 election had overall worse health outcomes than those that voted Democrat. We hope that this strong relationship can guide improvements in healthcare policy legislation at the county level.Tymor HamamsyMichael DanzigerJonathan NaglerRichard BonneauPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254001 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Tymor Hamamsy
Michael Danziger
Jonathan Nagler
Richard Bonneau
Viewing the US presidential electoral map through the lens of public health.
description Health, disease, and mortality vary greatly at the county level, and there are strong geographical trends of disease in the United States. Healthcare is and has been a top priority for voters in the U.S., and an important political issue. Consequently, it is important to determine what relationship voting patterns have with health, disease, and mortality, as doing so may help guide appropriate policy. We performed a comprehensive analysis of the relationship between voting patterns and over 150 different public health and wellbeing variables at the county level, comparing all states, including counties in 2016 battleground states, and counties in states that flipped from majority Democrat to majority Republican from 2012 to 2016. We also investigated county-level health trends over the last 30+ years and find statistically significant relationships between a number of health measures and the voting patterns of counties in presidential elections. Collectively, these data exhibit a strong pattern: counties that voted Republican in the 2016 election had overall worse health outcomes than those that voted Democrat. We hope that this strong relationship can guide improvements in healthcare policy legislation at the county level.
format article
author Tymor Hamamsy
Michael Danziger
Jonathan Nagler
Richard Bonneau
author_facet Tymor Hamamsy
Michael Danziger
Jonathan Nagler
Richard Bonneau
author_sort Tymor Hamamsy
title Viewing the US presidential electoral map through the lens of public health.
title_short Viewing the US presidential electoral map through the lens of public health.
title_full Viewing the US presidential electoral map through the lens of public health.
title_fullStr Viewing the US presidential electoral map through the lens of public health.
title_full_unstemmed Viewing the US presidential electoral map through the lens of public health.
title_sort viewing the us presidential electoral map through the lens of public health.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/38f5ee22e8b34e428f2f34f5bc35b8d7
work_keys_str_mv AT tymorhamamsy viewingtheuspresidentialelectoralmapthroughthelensofpublichealth
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AT jonathannagler viewingtheuspresidentialelectoralmapthroughthelensofpublichealth
AT richardbonneau viewingtheuspresidentialelectoralmapthroughthelensofpublichealth
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