Polarization, partisanship, and pandemic: The relationship between county‐level support for Donald Trump and the spread of Covid‐19 during the spring and summer of 2020
Objective Republicans and Democrats have displayed widely divergent beliefs and behaviors related to COVID‐19, creating the possibility that geographic areas with more Donald Trump supporters may be more likely to suffer from the disease. Methods I use 2016 election data, COVID‐19 case and mortality...
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| Veröffentlicht in: | Social science quarterly 2021-09, Vol.102 (5), p.2412-2431 |
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| container_title | Social science quarterly |
| container_volume | 102 |
| creator | Morris, David S. |
| description | Objective
Republicans and Democrats have displayed widely divergent beliefs and behaviors related to COVID‐19, creating the possibility that geographic areas with more Donald Trump supporters may be more likely to suffer from the disease.
Methods
I use 2016 election data, COVID‐19 case and mortality data, and multilevel linear growth models with state fixed effects to estimate the relationship between county‐level support for Donald Trump and the trajectory of cumulative COVID‐19 cases and deaths per 100,000 county residents between March 17, 2020 and August 31, 2020.
Results
Counties more supportive of Trump had fewer COVID‐19 cases and deaths in the early months of the pandemic. However, as the summer moved into July and August, counties less supportive of Trump stopped growth rates of COVID‐19 cases and deaths, while counties more supportive of Trump saw a trajectory of increased cases and deaths in July and August. This is likely due to the widely divergent beliefs and behaviors displayed by Republicans and Democrats toward COVID‐19.
Conclusion
This study underscores the power of polarization and partisanship in the public sphere, even when it comes to a public health issue. |
| doi_str_mv | 10.1111/ssqu.13053 |
| format | Article |
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Republicans and Democrats have displayed widely divergent beliefs and behaviors related to COVID‐19, creating the possibility that geographic areas with more Donald Trump supporters may be more likely to suffer from the disease.
Methods
I use 2016 election data, COVID‐19 case and mortality data, and multilevel linear growth models with state fixed effects to estimate the relationship between county‐level support for Donald Trump and the trajectory of cumulative COVID‐19 cases and deaths per 100,000 county residents between March 17, 2020 and August 31, 2020.
Results
Counties more supportive of Trump had fewer COVID‐19 cases and deaths in the early months of the pandemic. However, as the summer moved into July and August, counties less supportive of Trump stopped growth rates of COVID‐19 cases and deaths, while counties more supportive of Trump saw a trajectory of increased cases and deaths in July and August. This is likely due to the widely divergent beliefs and behaviors displayed by Republicans and Democrats toward COVID‐19.
Conclusion
This study underscores the power of polarization and partisanship in the public sphere, even when it comes to a public health issue.</description><identifier>ISSN: 0038-4941</identifier><identifier>EISSN: 1540-6237</identifier><identifier>DOI: 10.1111/ssqu.13053</identifier><identifier>PMID: 34908615</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Counties ; COVID-19 ; Elections ; Growth models ; Original ; Pandemics ; Partisanship ; Polarization ; Political parties ; Public health ; Public sphere ; Research on Covid 19 ; Residents ; Summer ; Supporters ; Trump, Donald J</subject><ispartof>Social science quarterly, 2021-09, Vol.102 (5), p.2412-2431</ispartof><rights>2021 by the Southwestern Social Science Association</rights><rights>2021 by the Southwestern Social Science Association.</rights><rights>2021 Southwestern Social Science Association</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4813-a517d2b31c67d0beb605aa674cf1175b6eda5309f79c1abd09901644b3d8a1423</citedby><cites>FETCH-LOGICAL-c4813-a517d2b31c67d0beb605aa674cf1175b6eda5309f79c1abd09901644b3d8a1423</cites><orcidid>0000-0003-2120-4590</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fssqu.13053$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fssqu.13053$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,33751,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34908615$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Morris, David S.</creatorcontrib><title>Polarization, partisanship, and pandemic: The relationship between county‐level support for Donald Trump and the spread of Covid‐19 during the spring and summer of 2020</title><title>Social science quarterly</title><addtitle>Soc Sci Q</addtitle><description>Objective
Republicans and Democrats have displayed widely divergent beliefs and behaviors related to COVID‐19, creating the possibility that geographic areas with more Donald Trump supporters may be more likely to suffer from the disease.
Methods
I use 2016 election data, COVID‐19 case and mortality data, and multilevel linear growth models with state fixed effects to estimate the relationship between county‐level support for Donald Trump and the trajectory of cumulative COVID‐19 cases and deaths per 100,000 county residents between March 17, 2020 and August 31, 2020.
Results
Counties more supportive of Trump had fewer COVID‐19 cases and deaths in the early months of the pandemic. However, as the summer moved into July and August, counties less supportive of Trump stopped growth rates of COVID‐19 cases and deaths, while counties more supportive of Trump saw a trajectory of increased cases and deaths in July and August. This is likely due to the widely divergent beliefs and behaviors displayed by Republicans and Democrats toward COVID‐19.
Conclusion
This study underscores the power of polarization and partisanship in the public sphere, even when it comes to a public health issue.</description><subject>Counties</subject><subject>COVID-19</subject><subject>Elections</subject><subject>Growth models</subject><subject>Original</subject><subject>Pandemics</subject><subject>Partisanship</subject><subject>Polarization</subject><subject>Political parties</subject><subject>Public health</subject><subject>Public sphere</subject><subject>Research on Covid 19</subject><subject>Residents</subject><subject>Summer</subject><subject>Supporters</subject><subject>Trump, Donald J</subject><issn>0038-4941</issn><issn>1540-6237</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>7UB</sourceid><sourceid>BHHNA</sourceid><recordid>eNp9kk9u1DAUhy0EokNhwwGQJTYINcUvdpykCyQ0_JUqAep0bTmx03Hl2KkdTzWsOAIH4VSchGSmrYAF3th6v8-fnuyH0FMgxzCtVzFepWOgpKD30AIKRjKe0_I-WhBCq4zVDA7QoxgvCSEsZ9VDdEBZTSoOxQL9_OKtDOabHI13R3iQYTRRurg2wxGWTk0Vp3Rv2hO8WmsctN2Rc44bPV5r7XDrkxu3v77_sHqjLY5pGHwYcecDfuudtAqvQuqHnW6cJHEIWirsO7z0G6Omi1BjlYJxF7f5fJzxmPpehxnNSU4eowedtFE_udkP0fn7d6vlx-z084dPyzenWcsqoJksoFR5Q6HlpSKNbjgppOQlazuAsmi4VrKgpO7KugXZKFLXBDhjDVWVBJbTQ_R67x1S02vVajcGacXUVi_DVnhpxN-JM2tx4Tei4jwHwifBixtB8FdJx1H0JrbaWum0T1HkHAiDvGIwoc__QS99CtOrzRTJa1oX9Uy93FNt8DEG3d01A0TMQyDmIRC7IZjgZ3-2f4fe_voEwB64NlZv_6MSZ2dfz_fS3yWJwX4</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Morris, David S.</creator><general>Blackwell Publishing Ltd</general><general>John Wiley and Sons Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U4</scope><scope>7UB</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>WZK</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2120-4590</orcidid></search><sort><creationdate>202109</creationdate><title>Polarization, partisanship, and pandemic: The relationship between county‐level support for Donald Trump and the spread of Covid‐19 during the spring and summer of 2020</title><author>Morris, David S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4813-a517d2b31c67d0beb605aa674cf1175b6eda5309f79c1abd09901644b3d8a1423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Counties</topic><topic>COVID-19</topic><topic>Elections</topic><topic>Growth models</topic><topic>Original</topic><topic>Pandemics</topic><topic>Partisanship</topic><topic>Polarization</topic><topic>Political parties</topic><topic>Public health</topic><topic>Public sphere</topic><topic>Research on Covid 19</topic><topic>Residents</topic><topic>Summer</topic><topic>Supporters</topic><topic>Trump, Donald J</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Morris, David S.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Worldwide Political Science Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Sociological Abstracts (Ovid)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Social science quarterly</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Morris, David S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Polarization, partisanship, and pandemic: The relationship between county‐level support for Donald Trump and the spread of Covid‐19 during the spring and summer of 2020</atitle><jtitle>Social science quarterly</jtitle><addtitle>Soc Sci Q</addtitle><date>2021-09</date><risdate>2021</risdate><volume>102</volume><issue>5</issue><spage>2412</spage><epage>2431</epage><pages>2412-2431</pages><issn>0038-4941</issn><eissn>1540-6237</eissn><abstract>Objective
Republicans and Democrats have displayed widely divergent beliefs and behaviors related to COVID‐19, creating the possibility that geographic areas with more Donald Trump supporters may be more likely to suffer from the disease.
Methods
I use 2016 election data, COVID‐19 case and mortality data, and multilevel linear growth models with state fixed effects to estimate the relationship between county‐level support for Donald Trump and the trajectory of cumulative COVID‐19 cases and deaths per 100,000 county residents between March 17, 2020 and August 31, 2020.
Results
Counties more supportive of Trump had fewer COVID‐19 cases and deaths in the early months of the pandemic. However, as the summer moved into July and August, counties less supportive of Trump stopped growth rates of COVID‐19 cases and deaths, while counties more supportive of Trump saw a trajectory of increased cases and deaths in July and August. This is likely due to the widely divergent beliefs and behaviors displayed by Republicans and Democrats toward COVID‐19.
Conclusion
This study underscores the power of polarization and partisanship in the public sphere, even when it comes to a public health issue.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>34908615</pmid><doi>10.1111/ssqu.13053</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-2120-4590</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0038-4941 |
| ispartof | Social science quarterly, 2021-09, Vol.102 (5), p.2412-2431 |
| issn | 0038-4941 1540-6237 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8662106 |
| source | Wiley Online Library Journals Frontfile Complete; Worldwide Political Science Abstracts; Business Source Complete; Sociological Abstracts |
| subjects | Counties COVID-19 Elections Growth models Original Pandemics Partisanship Polarization Political parties Public health Public sphere Research on Covid 19 Residents Summer Supporters Trump, Donald J |
| title | Polarization, partisanship, and pandemic: The relationship between county‐level support for Donald Trump and the spread of Covid‐19 during the spring and summer of 2020 |
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