Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic

• Published in: Nature human behaviour Vol. 4; no. 11; pp. 1186 - 1197
• Main Authors: Gollwitzer, Anton, Martel, Cameron, Brady, William J., Pärnamets, Philip, Freedman, Isaac G., Knowles, Eric D., Van Bavel, Jay J.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.11.2020; Nature Publishing Group
• 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; 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; United States; United States > US
• ISSN: 2397-3374; 2397-3374
• DOI: 10.1038/s41562-020-00977-7

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.