{"doi":"10.2105/ajph.2023.307553","title":"County-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022","abstract":"Objectives. 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. ( Am J Public Health. 2024;114(4):415–423. https://doi.org/10.2105/AJPH.2023.307553 )","journal":"American Journal of Public Health","year":2024,"id":467350,"datarank":0.20794415416798362,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.0,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7855,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":946268,"name":"Alfu Laily","orcid":"0000-0002-7438-8007","position":1,"is_corresponding":false},{"id":942689,"name":"Heather Burney","orcid":null,"position":2,"is_corresponding":false},{"id":439711,"name":"Katharine J. Head","orcid":"0000-0001-8946-1716","position":3,"is_corresponding":false},{"id":385309,"name":"Joanne Daggy","orcid":"0000-0003-0815-1746","position":4,"is_corresponding":false},{"id":6275,"name":"Gregory D. Zimet","orcid":"0000-0003-3835-937X","position":5,"is_corresponding":false},{"id":728142,"name":"Laura M. Schwab‐Reese","orcid":"0000-0002-9174-1730","position":6,"is_corresponding":false},{"id":390458,"name":"Monica L. Kasting","orcid":"0000-0002-9879-7235","position":0,"is_corresponding":true}],"reference_count":36,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:05:10.907983Z","pmid":"38386970","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}