论文标题
非洲裔美国人Covid-19的不成比例的发生率与动态隔离相关
Disproportionate incidence of COVID-19 in African Americans correlates with dynamic segregation
论文作者
论文摘要
社会经济差异经常在大规模灾难性事件的发展中起着核心作用。正在进行的Covid-19-Pandemics最令人关注的方面之一是，它对来自黑人和非裔美国人背景的人们不成比例地影响着意外的感染差距。有趣的是，对这些族裔的异常影响似乎与其他风险因素几乎不相关，包括合并症，贫困，教育水平，获得医疗保健，住宅隔离以及对治疗方法的反应。对观察到的发病率差距的拟议解释是，来自非裔美国人背景的人们更经常在低收入服务工作中使用，因此通过面对面的接触更容易受到感染的影响，但是到目前为止，缺乏直接数据不允许得出强烈的结论。在这里，我们介绍了动态隔离的概念，这是由于流动性和通勤习惯的结果，给定的人内部聚类或暴露于其他群体的程度。通过分析有关120多个美国主要城市的人口普查和流动性数据，我们发现非裔美国社区的动态隔离与这些社区的每周过度共同证明和死亡率显着相关。结果证实，知道人们通勤而不是居住的地方，与疾病建模更相关。
Socio-economic disparities quite often have a central role in the unfolding of large-scale catastrophic events. One of the most concerning aspects of the ongoing COVID-19 pandemics is that it disproportionately affects people from Black and African American backgrounds creating an unexpected infection gap. Interestingly, the abnormal impact on these ethnic groups seem to be almost uncorrelated with other risk factors, including co-morbidity, poverty, level of education, access to healthcare, residential segregation, and response to cures. A proposed explanation for the observed incidence gap is that people from African American backgrounds are more often employed in low-income service jobs, and are thus more exposed to infection through face-to-face contacts, but the lack of direct data has not allowed to draw strong conclusions in this sense so far. Here we introduce the concept of dynamic segregation, that is the extent to which a given group of people is internally clustered or exposed to other groups, as a result of mobility and commuting habits. By analysing census and mobility data on more than 120 major US cities, we found that the dynamic segregation of African American communities is significantly associated with the weekly excess COVID-19 incidence and mortality in those communities. The results confirm that knowing where people commute to, rather than where they live, is much more relevant for disease modelling.
