A Study Examining the Impact of County-Level Demographic, Socioeconomic, and Political Affiliation Characteristics on Covid-19 Vaccination Patterns in Indiana

Datos Bibliográficos

ID15475680
AutoresGiuseppe Pangan (0009-0000-4190-9964, University of Notre Dame, autor de correspondencia), Victoria Woodard (0000-0003-0894-0075, University of Notre Dame)
Año2024
Volumen21
Número7
Páginas892-892
Fecha de publicación2024-07-09
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph21070892
PMID39063468
OpenAlexW4400457925
IdiomaEN
Citas recibidas1
Referencias citadas56

The COVID-19 vaccination campaign resulted in uneven vaccine uptake throughout the United States, particularly in rural areas, areas with socially and economically disadvantaged groups, and populations that exhibited vaccine hesitancy behaviors. This study examines how county-level sociodemographic and political affiliation characteristics differentially affected patterns of COVID-19 vaccinations in the state of Indiana every month in 2021. We linked county-level demographics from the 2016-2020 American Community Survey Five-Year Estimates and the Indiana Elections Results Database with county-level COVID-19 vaccination counts from the Indiana State Department of Health. We then created twelve monthly linear regression models to assess which variables were consistently being selected, based on the Akaike Information Criterion (AIC) and adjusted R-squared values. The vaccination models showed a positive association with proportions of Bachelor's degree-holding residents, of 40-59 year-old residents, proportions of Democratic-voting residents, and a negative association with uninsured and unemployed residents, persons living below the poverty line, residents without access to the Internet, and persons of Other Race. Overall, after April, the variables selected were consistent, with the model's high adjusted R 2 values for COVID-19 cumulative vaccinations demonstrating that the county sociodemographic and political affiliation characteristics can explain most of the variation in vaccinations. Linking county-level sociodemographic and political affiliation characteristics with Indiana's COVID-19 vaccinations revealed inherent inequalities in vaccine coverage among different sociodemographic groups. Increased vaccine uptake could be improved in the future through targeted messaging, which provides culturally relevant advertising campaigns for groups less likely to receive a vaccine, and increasing access to vaccines for rural, under-resourced, and underserved populations

2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19 · Environmental health · Geography · Infectious disease (medical specialty · Outbreak · Political science · Politics · Population · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Socioeconomic status · Sociology · Vaccination · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Demography · Medicine · Vaccine Coverage and Hesitancy · Gerontology · Virology