Jose F. Figueroa (
Rishi K. Wadhera is an assistant professor of medicine in the Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, in Boston, Massachusetts. Wadhera and Jose Figueroa are co-first authors.
Health Aff (Millwood). 2020 Nov;39(11):1984-1992. doi: 10.1377/hlthaff.2020.01040. Epub 2020 Aug 27.
Massachusetts has one of the highest cumulative incidence rates of coronavirus disease 2019 (COVID-19) cases in the US. Understanding which specific demographic, economic, and occupational factors have contributed to disparities in COVID-19 incidence rates across the state is critical to informing public health strategies. We performed a cross-sectional study of 351 Massachusetts cities and towns from January 1 to May 6, 2020, and found that a 10-percentage-point increase in the Black non-Latino population was associated with an increase of 312.3 COVID-19 cases per 100,000 population, whereas a 10-percentage-point increase in the Latino population was associated with an increase of 258.2 cases per 100,000. Independent predictors of higher COVID-19 rates included the proportion of foreign-born noncitizens living in a community, mean household size, and share of food service workers. After adjustment for these variables, the association between the Latino population and COVID-19 rates was attenuated. In contrast, the association between the Black population and COVID-19 rates persisted but may be explained by other systemic inequities. Public health and policy efforts that improve care for foreign-born noncitizens, address crowded housing, and protect food service workers may help mitigate the spread of COVID-19 among minority communities.
马萨诸塞州是美国 COVID-19 累计发病率最高的州之一。了解哪些特定的人口、经济和职业因素导致了全州 COVID-19 发病率的差异,对于制定公共卫生策略至关重要。我们对 2020 年 1 月 1 日至 5 月 6 日马萨诸塞州的 351 个城市和城镇进行了横断面研究,发现黑人和非拉丁裔人口每增加 10%,每 10 万人中 COVID-19 病例数就会增加 312.3 例,而拉丁裔人口每增加 10%,每 10 万人中 COVID-19 病例数就会增加 258.2 例。COVID-19 发病率较高的独立预测因素包括居住在一个社区的外国出生非公民的比例、家庭平均规模和食品服务业工人的比例。在调整这些变量后,拉丁裔人口与 COVID-19 发病率之间的关联减弱。相比之下,黑人和非拉丁裔人口与 COVID-19 发病率之间的关联仍然存在,但可能是由其他系统性不平等现象所解释。改善对外国出生非公民的护理、解决住房拥挤问题以及保护食品服务业工人的公共卫生和政策努力可能有助于减轻少数族裔社区 COVID-19 的传播。