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.
Am J Public Health. 2024 Apr;114(4):415-423. doi: 10.2105/AJPH.2023.307553. Epub 2024 Feb 22.
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).
评估印第安纳州 92 个县的 COVID-19 和流感疫苗接种率,并确定与疫苗接种相关的县一级因素。我们分析了印第安纳州疫苗登记处的成人 COVID-19 疫苗接种数据和疾病控制与预防中心的 2021 年成人流感疫苗接种数据。我们使用多元线性回归(MLR)来确定疫苗接种的县一级预测因素。COVID-19 疫苗接种率从 31.2%到 87.6%(平均 58.0%);流感疫苗接种率从 33.7%到 53.1%(平均 42.9%)。在 MLR 中,COVID-19 疫苗接种与每千人的初级保健提供者(b=0.04;95%置信区间 [CI] = 0.02,0.05)、家庭中位数收入(b=0.23;95% CI = 0.12,0.34)、有乳房 X 光检查的医疗保险参保者的百分比(b=0.29;95% CI = 0.08,0.51)、未参保的百分比(b=-1.22;95% CI = 1.57,-0.87)、非裔美国人的百分比(b=0.31;95% CI = 0.19,0.42)、女性的百分比(b=-0.97;95% CI = 1.79,-0.15)和吸烟的百分比(b=-0.75;95% CI = 1.26,-0.23)显著相关。流感疫苗接种与未参保的百分比(b=0.71;95% CI = 0.22,1.21)、非裔美国人的百分比(b=-0.07;95% CI = 0.13,-0.01)、西班牙裔的百分比(b=-0.28;95% CI = 0.40,-0.17)、吸烟的百分比(b=-0.85;95% CI = 1.06,-0.64)和完成高中学业的百分比(b=0.54;95% CI = 0.21,0.87)显著相关。MLR 模型解释了 86.7%(COVID-19)和 70.2%(流感)的方差。COVID-19 和流感疫苗接种的相关因素不同。反映获得医疗保健机会的变量(例如,保险)和患严重疾病风险较高的变量(例如,吸烟)值得注意。改善获得医疗保健的机会并针对高危人群的计划可能会提高疫苗接种率。(2024 年;114(4):415-423。https://doi.org/10.2105/AJPH.2023.307553)。