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County-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022.
Kasting, Monica L; Laily, Alfu; Burney, Heather N; Head, Katharine J; Daggy, Joanne K; Zimet, Gregory D; Schwab-Reese, Laura M.
Afiliação
  • Kasting ML; 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, Indianapoli
  • Laily A; 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, Indianapoli
  • Burney HN; 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, Indianapoli
  • Head KJ; 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, Indianapoli
  • Daggy JK; 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, Indianapoli
  • Zimet GD; 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, Indianapoli
  • Schwab-Reese LM; 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, Indianapoli
Am J Public Health ; 114(4): 415-423, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38386970
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).
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Vacinas contra Influenza / Influenza Humana / COVID-19 Limite: Adult / Aged / Female / Humans País/Região como assunto: America do norte Idioma: En Revista: Am J Public Health Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Vacinas contra Influenza / Influenza Humana / COVID-19 Limite: Adult / Aged / Female / Humans País/Região como assunto: America do norte Idioma: En Revista: Am J Public Health Ano de publicação: 2024 Tipo de documento: Article