Public health and elections: Correlating COVID-19 vaccination rates with 2020 U.S. presidential election results

J. Villaseñor-Ibáñez (), M. del Castillo-Mussot and E. Hernández-Ramírez ()
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J. Villaseñor-Ibáñez: Facultad de Ciencias, Universidad Nacional Autónoma de México, México City, 04510, México
M. del Castillo-Mussot: Instituto de Física, Universidad Nacional Autónoma de México, México City, 04510, México
E. Hernández-Ramírez: Instituto de Investigaciones Económicas, Universidad Nacional Autónoma de México, México City, 04510, México

International Journal of Modern Physics C (IJMPC), 2024, vol. 35, issue 07, 1-18

Abstract: We correlate county-level partial and full vaccination rates with results from the 2020 United States (U.S.) election, obtaining Pearson correlation values for each individual state, noting top and bottom values, and observing an almost absolute positive correlation between Biden support and vaccination rates, and inversely a negative correlation when considering Trump support. This trend holds for other territorial categories: regions and subdivisions. Correlation values based on county-level data for two other categories of interest are found: urbanization level and ethnic group majority by county. We find a higher degree of correlation for White majority counties, and a lower one for majority minority counties. When analyzing urbanization level we find the lowest values in highly urban counties. We posit a relationship between these two categories, based on the fact that urban counties are generally more ethnically diverse, and suburban and rural areas generally retain white majorities. Our results showcase the current process of political polarization and history leading to this phenomenon, which includes the role that health topics and issues have played in it, reinforcing the idea of politics and health being strongly linked subjects in the United States.

Keywords: Public health; COVID-19; vaccination rate; U.S. election; Pearson correlation (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0129183124500906

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