Donadio Gregory, Choudhary Mayank, Lindemer Emily, Pawlowski Colin, Soundararajan Venky
nference, One Main Street, East Arcade, Cambridge, MA 02142, USA.
Vaccines (Basel). 2021 Aug 31;9(9):973. doi: 10.3390/vaccines9090973.
Equitable vaccination distribution is a priority for outcompeting the transmission of COVID-19. Here, the impact of demographic, socioeconomic, and environmental factors on county-level vaccination rates and COVID-19 incidence changes is assessed. In particular, using data from 3142 US counties with over 328 million individuals, correlations were computed between cumulative vaccination rate and change in COVID-19 incidence from 1 December 2020 to 6 June 2021, with 44 different demographic, environmental, and socioeconomic factors. This correlation analysis was also performed using multivariate linear regression to adjust for age as a potential confounding variable. These correlation analyses demonstrated that counties with high levels of uninsured individuals have significantly lower COVID-19 vaccination rates (Spearman correlation: -0.460, -value: <0.001). In addition, severe housing problems and high housing costs were strongly correlated with increased COVID-19 incidence (Spearman correlations: 0.335, 0.314, -values: <0.001, <0.001). This study shows that socioeconomic factors are strongly correlated to both COVID-19 vaccination rates and incidence rates, underscoring the need to improve COVID-19 vaccination campaigns in marginalized communities.
公平的疫苗接种分配是战胜新冠病毒传播的一项优先任务。在此,评估了人口、社会经济和环境因素对县级疫苗接种率及新冠病毒发病率变化的影响。具体而言,利用来自美国3.28亿多人所在的3142个县的数据,计算了2020年12月1日至2021年6月6日期间累计疫苗接种率与新冠病毒发病率变化之间的相关性,涉及44种不同的人口、环境和社会经济因素。还使用多元线性回归进行了这种相关性分析,以将年龄作为潜在混杂变量进行调整。这些相关性分析表明,未参保人数多的县的新冠病毒疫苗接种率显著较低(斯皮尔曼相关性:-0.460,P值:<0.001)。此外,严重的住房问题和高昂的住房成本与新冠病毒发病率上升密切相关(斯皮尔曼相关性:0.335、0.314,P值:<0.001、<0.001)。这项研究表明,社会经济因素与新冠病毒疫苗接种率和发病率都密切相关,凸显了在边缘化社区改善新冠病毒疫苗接种运动的必要性。