Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic
Numerous polls suggest that COVID-19 is a profoundly partisan issue in the United States. Using the geotracking data of 15 million smartphones per day, we found that US counties that voted for Donald Trump (Republican) over Hillary Clinton (Democrat) in the 2016 presidential election exhibited 14% l...
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| Veröffentlicht in: | Nature human behaviour 2020-11, Vol.4 (11), p.1186-1197 |
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| creator | Gollwitzer, Anton Martel, Cameron Brady, William J. Pärnamets, Philip Freedman, Isaac G. Knowles, Eric D. Van Bavel, Jay J. |
| description | Numerous polls suggest that COVID-19 is a profoundly partisan issue in the United States. Using the geotracking data of 15 million smartphones per day, we found that US counties that voted for Donald Trump (Republican) over Hillary Clinton (Democrat) in the 2016 presidential election exhibited 14% less physical distancing between March and May 2020. Partisanship was more strongly associated with physical distancing than numerous other factors, including counties’ COVID-19 cases, population density, median income, and racial and age demographics. Contrary to our predictions, the observed partisan gap strengthened over time and remained when stay-at-home orders were active. Additionally, county-level consumption of conservative media (Fox News) was related to reduced physical distancing. Finally, the observed partisan differences in distancing were associated with subsequently higher COVID-19 infection and fatality growth rates in pro-Trump counties. Taken together, these data suggest that US citizens’ responses to COVID-19 are subject to a deep—and consequential—partisan divide.
Gollwitzer et al. use smartphone mobility tracking to show that US county support for Trump in 2016 was associated with a lower reduction in mobility in March–May 2020, which in turn was associated with higher COVID-19 infection and fatality growth rates in pro-Trump counties. |
| doi_str_mv | 10.1038/s41562-020-00977-7 |
| format | Article |
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Gollwitzer et al. use smartphone mobility tracking to show that US county support for Trump in 2016 was associated with a lower reduction in mobility in March–May 2020, which in turn was associated with higher COVID-19 infection and fatality growth rates in pro-Trump counties.</description><identifier>ISSN: 2397-3374</identifier><identifier>EISSN: 2397-3374</identifier><identifier>DOI: 10.1038/s41562-020-00977-7</identifier><identifier>PMID: 33139897</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>4014/4012 ; 4014/477/2811 ; 692/699/255/2514 ; Attitude to Health ; Behavioral Sciences ; Biomedical and Life Sciences ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; Experimental Psychology ; Fatalities ; Federal Government ; Health status ; Humans ; Infections ; Life Sciences ; Medicin och hälsovetenskap ; Microeconomics ; Mobility ; Neurosciences ; News ; Pandemics ; Partisanship ; Personality and Social Psychology ; Physical Distancing ; Politics ; Polls & surveys ; Population density ; Presidential elections ; SARS-CoV-2 ; Smartphones ; Social distancing ; Social Perception ; Tracking ; United States</subject><ispartof>Nature human behaviour, 2020-11, Vol.4 (11), p.1186-1197</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Limited 2020</rights><rights>The Author(s), under exclusive licence to Springer Nature Limited 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c573t-662f8f11409629196c37e755b26c20d4015d5c2aa73ae073ec3a28a88020566a3</citedby><cites>FETCH-LOGICAL-c573t-662f8f11409629196c37e755b26c20d4015d5c2aa73ae073ec3a28a88020566a3</cites><orcidid>0000-0001-8525-1930 ; 0000-0002-0067-0018 ; 0000-0001-8360-9097 ; 0000-0003-3181-4309 ; 0000-0002-2520-0442 ; 0000-0003-2603-4201</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,552,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33139897$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:145042242$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Gollwitzer, Anton</creatorcontrib><creatorcontrib>Martel, Cameron</creatorcontrib><creatorcontrib>Brady, William J.</creatorcontrib><creatorcontrib>Pärnamets, Philip</creatorcontrib><creatorcontrib>Freedman, Isaac G.</creatorcontrib><creatorcontrib>Knowles, Eric D.</creatorcontrib><creatorcontrib>Van Bavel, Jay J.</creatorcontrib><title>Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic</title><title>Nature human behaviour</title><addtitle>Nat Hum Behav</addtitle><addtitle>Nat Hum Behav</addtitle><description>Numerous polls suggest that COVID-19 is a profoundly partisan issue in the United States. Using the geotracking data of 15 million smartphones per day, we found that US counties that voted for Donald Trump (Republican) over Hillary Clinton (Democrat) in the 2016 presidential election exhibited 14% less physical distancing between March and May 2020. Partisanship was more strongly associated with physical distancing than numerous other factors, including counties’ COVID-19 cases, population density, median income, and racial and age demographics. Contrary to our predictions, the observed partisan gap strengthened over time and remained when stay-at-home orders were active. Additionally, county-level consumption of conservative media (Fox News) was related to reduced physical distancing. Finally, the observed partisan differences in distancing were associated with subsequently higher COVID-19 infection and fatality growth rates in pro-Trump counties. Taken together, these data suggest that US citizens’ responses to COVID-19 are subject to a deep—and consequential—partisan divide.
Gollwitzer et al. use smartphone mobility tracking to show that US county support for Trump in 2016 was associated with a lower reduction in mobility in March–May 2020, which in turn was associated with higher COVID-19 infection and fatality growth rates in pro-Trump counties.</description><subject>4014/4012</subject><subject>4014/477/2811</subject><subject>692/699/255/2514</subject><subject>Attitude to Health</subject><subject>Behavioral Sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Experimental Psychology</subject><subject>Fatalities</subject><subject>Federal Government</subject><subject>Health status</subject><subject>Humans</subject><subject>Infections</subject><subject>Life Sciences</subject><subject>Medicin och hälsovetenskap</subject><subject>Microeconomics</subject><subject>Mobility</subject><subject>Neurosciences</subject><subject>News</subject><subject>Pandemics</subject><subject>Partisanship</subject><subject>Personality and Social Psychology</subject><subject>Physical Distancing</subject><subject>Politics</subject><subject>Polls & surveys</subject><subject>Population density</subject><subject>Presidential elections</subject><subject>SARS-CoV-2</subject><subject>Smartphones</subject><subject>Social distancing</subject><subject>Social Perception</subject><subject>Tracking</subject><subject>United States</subject><issn>2397-3374</issn><issn>2397-3374</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>D8T</sourceid><recordid>eNp9kU9v1DAQxS1ERau2X4ADssSFi8H_HR_RQqFSpXIArpbXmbBuEyfYiVC_fR122yIkOHk0-r3nmXkIvWT0LaOieVckU5oTyimh1BpDzDN0woU1RAgjn_9RH6PzUm4opcwKaY1-gY6FYMI21pyg7ovPcyw-4TZ2HWRIAQqOCU-7uxKD72u_zD6FmH5gnwH3Md1Ci-cR78D38w6PyxzGoYraJa_QvAO8uf5--YEwiyefWhhiOENHne8LnB_eU_Tt4uPXzWdydf3pcvP-igRlxEy05l3TMSap1dwyq4MwYJTach04bSVlqlWBe2-EB2oEBOF545umnkFp7cUpInvf8gumZeumHAef79zoozu0bmsFTmptKa-8_Sc_5bF9Ej0ImVRUci5X7Zu9toI_FyizG2IJ0Pc-wbgUx2XdidYATEVf_4XejEtO9RKVMkwpqamsFN9TIY-lZOgex2HUraG7feiubut-h-5W61cH62U7QPsoeYi4AuKw4rTmA_np7__Y3gM5JraX</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Gollwitzer, Anton</creator><creator>Martel, Cameron</creator><creator>Brady, William J.</creator><creator>Pärnamets, Philip</creator><creator>Freedman, Isaac G.</creator><creator>Knowles, Eric D.</creator><creator>Van Bavel, Jay J.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7XB</scope><scope>88G</scope><scope>88J</scope><scope>8BJ</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>JBE</scope><scope>M2M</scope><scope>M2R</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0001-8525-1930</orcidid><orcidid>https://orcid.org/0000-0002-0067-0018</orcidid><orcidid>https://orcid.org/0000-0001-8360-9097</orcidid><orcidid>https://orcid.org/0000-0003-3181-4309</orcidid><orcidid>https://orcid.org/0000-0002-2520-0442</orcidid><orcidid>https://orcid.org/0000-0003-2603-4201</orcidid></search><sort><creationdate>20201101</creationdate><title>Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic</title><author>Gollwitzer, Anton ; 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Using the geotracking data of 15 million smartphones per day, we found that US counties that voted for Donald Trump (Republican) over Hillary Clinton (Democrat) in the 2016 presidential election exhibited 14% less physical distancing between March and May 2020. Partisanship was more strongly associated with physical distancing than numerous other factors, including counties’ COVID-19 cases, population density, median income, and racial and age demographics. Contrary to our predictions, the observed partisan gap strengthened over time and remained when stay-at-home orders were active. Additionally, county-level consumption of conservative media (Fox News) was related to reduced physical distancing. Finally, the observed partisan differences in distancing were associated with subsequently higher COVID-19 infection and fatality growth rates in pro-Trump counties. Taken together, these data suggest that US citizens’ responses to COVID-19 are subject to a deep—and consequential—partisan divide.
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| subjects | 4014/4012 4014/477/2811 692/699/255/2514 Attitude to Health Behavioral Sciences Biomedical and Life Sciences Coronaviruses COVID-19 COVID-19 - epidemiology Experimental Psychology Fatalities Federal Government Health status Humans Infections Life Sciences Medicin och hälsovetenskap Microeconomics Mobility Neurosciences News Pandemics Partisanship Personality and Social Psychology Physical Distancing Politics Polls & surveys Population density Presidential elections SARS-CoV-2 Smartphones Social distancing Social Perception Tracking United States |
| title | Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic |
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