Department of Mathematics, University of Tennessee, Knoxville, TN, United States.
Department of Public Health, University of Tennessee, Knoxville, TN, United States.
Front Public Health. 2024 Mar 11;12:1329382. doi: 10.3389/fpubh.2024.1329382. eCollection 2024.
Limited information is available on geographic disparities of COVID-19 vaccination in Missouri and yet this information is essential for guiding efforts to improve vaccination coverage. Therefore, the objectives of this study were to (a) investigate geographic disparities in the proportion of the population vaccinated against COVID-19 in Missouri and (b) identify socioeconomic and demographic predictors of the identified disparities.
The COVID-19 vaccination data for time period January 1 to December 31, 2021 were obtained from the Missouri Department of Health. County-level data on socioeconomic and demographic factors were downloaded from the 2020 American Community Survey. Proportions of county population vaccinated against COVID-19 were computed and displayed on choropleth maps. Global ordinary least square regression model and local geographically weighted regression model were used to identify predictors of proportions of COVID-19 vaccinated population.
Counties located in eastern Missouri tended to have high proportions of COVID-19 vaccinated population while low proportions were observed in the southernmost part of the state. Counties with low proportions of population vaccinated against COVID-19 tended to have high percentages of Hispanic/Latino population ( = 0.046), individuals living below the poverty level ( = 0.049), and uninsured ( = 0.015) populations. The strength of association between proportion of COVID-19 vaccinated population and percentage of Hispanic/Latino population varied by geographic location.
The study findings confirm geographic disparities of proportions of COVID-19 vaccinated population in Missouri. Study findings are useful for guiding programs geared at improving vaccination coverage and uptake by targeting resources to areas with low proportions of vaccinated individuals.
关于密苏里州 COVID-19 疫苗接种的地理差异的信息有限,但这些信息对于指导提高疫苗接种率的工作至关重要。因此,本研究的目的是:(a) 调查密苏里州 COVID-19 疫苗接种人口比例的地理差异,(b) 确定确定差异的社会经济和人口统计学预测因素。
从密苏里州卫生部获得了 2021 年 1 月 1 日至 12 月 31 日期间的 COVID-19 疫苗接种数据。从 2020 年美国社区调查中下载了关于社会经济和人口统计学因素的县一级数据。计算了 COVID-19 疫苗接种人口的比例,并在专题地图上显示。使用全局普通最小二乘回归模型和局部地理加权回归模型来确定 COVID-19 疫苗接种人口比例的预测因素。
位于密苏里州东部的县 COVID-19 疫苗接种人口比例较高,而该州最南端的县比例较低。 COVID-19 疫苗接种人口比例较低的县往往有较高比例的西班牙裔/拉丁裔人口(=0.046)、生活在贫困线以下的人口(=0.049)和未参保人口(=0.015)。 COVID-19 疫苗接种人口比例与西班牙裔/拉丁裔人口比例之间的关联强度因地理位置而异。
研究结果证实了密苏里州 COVID-19 疫苗接种人口比例的地理差异。研究结果可用于指导旨在通过针对接种率低的人群来提高疫苗接种覆盖率和接种率的计划。