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

dc.contributor.authorKasting, Monica L.
dc.contributor.authorLaily, Alfu
dc.contributor.authorBurney, Heather N.
dc.contributor.authorHead, Katharine J.
dc.contributor.authorDaggy, Joanne K.
dc.contributor.authorZimet, Gregory D.
dc.contributor.authorSchwab-Reese, Laura M.
dc.contributor.departmentBiostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
dc.date.accessioned2024-07-16T12:30:21Z
dc.date.available2024-07-16T12:30:21Z
dc.date.issued2024
dc.description.abstractObjectives: To assess COVID-19 and influenza vaccination rates across Indiana’s 92 counties and identify county-level factors associated with vaccination. Methods: 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. Results: 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. Conclusions: 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.
dc.eprint.versionFinal published version
dc.identifier.citationKasting ML, Laily A, Burney HN, et al. County-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022. Am J Public Health. 2024;114(4):415-423. doi:10.2105/AJPH.2023.307553
dc.identifier.urihttps://hdl.handle.net/1805/42249
dc.language.isoen_US
dc.publisherAmerican Public Health Association
dc.relation.isversionof10.2105/AJPH.2023.307553
dc.relation.journalAmerican Journal of Public Health
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectCOVID-19 vaccines
dc.subjectCOVID-19
dc.subjectInfluenza vaccines
dc.subjectMedicare
dc.titleCounty-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022
dc.typeArticle
ul.alternative.fulltexthttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10937598/
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