County-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022.

Am J Public Health

Monica L. Kasting, Alfu Laily, and Laura M. Schwab-Reese are with the Department of Public Health at Purdue University, West Lafayette, IN. Heather N. Burney and Joanne K. Daggy are with the Department of Biostatistics and Health Data Science at the Indiana University School of Medicine, Indianapolis. Katharine J. Head is with the Department of Communication Studies at Indiana University‒Purdue University, Indianapolis. Gregory D. Zimet is professor emeritus of Pediatrics and Psychiatry at the Indiana University School of Medicine, Indianapolis.

Published: April 2024

To assess COVID-19 and influenza vaccination rates across Indiana's 92 counties and identify county-level factors associated with vaccination. We analyzed county-level data on adult COVID-19 vaccination from the Indiana vaccine registry and 2021 adult influenza vaccination from the Centers for Disease Control and Prevention. We used multiple linear regression (MLR) to determine county-level predictors of vaccinations. COVID-19 vaccination ranged from 31.2% to 87.6% (mean = 58.0%); influenza vaccination ranged from 33.7% to 53.1% (mean = 42.9%). In MLR, COVID-19 vaccination was significantly associated with primary care providers per capita (b = 0.04; 95% confidence interval [CI] = 0.02, 0.05), median household income (b = 0.23; 95% CI = 0.12, 0.34), percentage Medicare enrollees with a mammogram (b = 0.29; 95% CI = 0.08, 0.51), percentage uninsured (b = -1.22; 95% CI = -1.57, -0.87), percentage African American (b = 0.31; 95% CI = 0.19, 0.42), percentage female (b = -0.97; 95% CI = -1.79, ‒0.15), and percentage who smoke (b = -0.75; 95% CI = -1.26, -0.23). Influenza vaccination was significantly associated with percentage uninsured (b = 0.71; 95% CI = 0.22, 1.21), percentage African American (b = -0.07; 95% CI = -0.13, -0.01), percentage Hispanic (b = -0.28; 95% CI = -0.40, -0.17), percentage who smoke (b = -0.85; 95% CI = -1.06, -0.64), and percentage who completed high school (b = 0.54; 95% CI = 0.21, 0.87). The MLR models explained 86.7% (COVID-19) and 70.2% (influenza) of the variance. Factors associated with COVID-19 and influenza vaccinations varied. Variables reflecting access to care (e.g., insurance) and higher risk of severe disease (e.g., smoking) are notable. Programs to improve access and target high-risk populations may improve vaccination rates. ( 2024;114(4):415-423. https://doi.org/10.2105/AJPH.2023.307553).

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10937598PMC
http://dx.doi.org/10.2105/AJPH.2023.307553DOI Listing

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