Li Rui, Huang Youqin
University at Albany, Albany, USA.
Environ Plan B Urban Anal City Sci. 2023 Jun;50(5):1194-1211. doi: 10.1177/23998083221126525. Epub 2022 Sep 14.
New York City (NYC) was the epicenter of COVID-19 pandemic for a long time, and the government introduced a city-wide lockdown policy to mitigate the spread of virus. Minority communities, however, suffered disproportionally high percentage of infection and mortality rates, a disturbing phenomenon that deserves scrutiny. Adopting a spatial and temporal perspective, this study aims to investigate health disparities in this pandemic by focusing on mobility in the city. Considering both public transit and the lockdown policy essential factors that impact infection and mortality, this study introduced a measure indicating mobility-restricted transit as the spatial factor. Additional factors include ethnic minorities based on their nativity and three categories of social vulnerability: socioeconomic status, household composition, and housing type. This study selects eight phases, each of which consists of 2 weeks to derive infection and mortality rates to investigate the impacts of those factors. As infection and mortality data are published based on ZIP code, this study further estimates the infection and mortality rates at a finer level of census tract through spatial apportionment. Results reveal the significant impact of mobility-restricted transit on both infection and mortality and show certain clusters of neighborhoods being highly impacted. In addition, this study identifies neighborhoods where native-born and foreign-born of each ethnic minority (Blacks, Hispanics, and Asians) have high risk of infection and mortality. Through a spatial and temporal perspectives, this study identifies the complexity of patterns in minority health disparities in COVID-19 pandemic, which can inform policy makers for localized support to vulnerable neighborhoods to alleviate minority health disparities.
纽约市长期以来一直是新冠疫情的中心,政府出台了全市范围的封锁政策以减缓病毒传播。然而,少数族裔社区的感染率和死亡率却高得不成比例,这一令人不安的现象值得审视。本研究从时空角度出发,旨在通过关注城市中的流动性来调查此次疫情中的健康差异。考虑到公共交通和封锁政策都是影响感染和死亡率的关键因素,本研究引入了一种将受限流动性的交通作为空间因素的衡量方法。其他因素包括基于出生地划分的少数族裔以及社会脆弱性的三个类别:社会经济地位、家庭构成和住房类型。本研究选取了八个阶段,每个阶段为期两周,以得出感染率和死亡率,从而调查这些因素的影响。由于感染和死亡率数据是按邮政编码公布的,本研究通过空间分配进一步在更精细的普查区层面估计感染率和死亡率。结果揭示了受限流动性的交通对感染和死亡率的显著影响,并显示出某些社区集群受到的影响很大。此外,本研究还确定了每个少数族裔(黑人、西班牙裔和亚裔)中本地出生和外国出生者感染和死亡风险较高的社区。通过时空视角,本研究确定了新冠疫情中少数族裔健康差异模式的复杂性,这可为政策制定者提供信息,以便对脆弱社区提供本地化支持,以减轻少数族裔健康差异。