论文标题
种族对纽约市Covid-19造成的感染和死亡的影响
Racial Impact on Infections and Deaths due to COVID-19 in New York City
论文作者
论文摘要
红线是一种歧视性实践，由于人口统计，机构避免在某些社区进行投资。在这里，我们探讨了红线对Covid-19纽约市（NYC）的传播的持久影响。使用通过《房屋抵押披露法》可用的数据，我们通过多级后勤模型为每个纽约市普查区构建了一个红线指数。我们将这个红线索引与每个NYC邮政编码标签区域的COVID-19统计数据进行了比较。大流行的准确映射将有助于确定最脆弱的地区，并允许最有效的医疗资源分配，同时减少种族健康差异。
Redlining is the discriminatory practice whereby institutions avoided investment in certain neighborhoods due to their demographics. Here we explore the lasting impacts of redlining on the spread of COVID-19 in New York City (NYC). Using data available through the Home Mortgage Disclosure Act, we construct a redlining index for each NYC census tract via a multi-level logistical model. We compare this redlining index with the COVID-19 statistics for each NYC Zip Code Tabulation Area. Accurate mappings of the pandemic would aid the identification of the most vulnerable areas and permit the most effective allocation of medical resources, while reducing ethnic health disparities.
