Disparities in COVID-19 risk exposure: Evidence from geolocation data

IF 2.9 2区 经济学 Q1 ECONOMICS Regional Science and Urban Economics Pub Date : 2023-09-01 DOI:10.1016/j.regsciurbeco.2023.103933
Milena Almagro , Joshua Coven , Arpit Gupta , Angelo Orane-Hutchinson
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Abstract

We examine the determinants of COVID-19 risk exposure in the context of the initial wave in New York City. In the first wave of the pandemic, out-of-home activity and household crowding were strongly associated with hospitalization at an individual level. After mass layoffs and shelter in place restrictions, out-of-home mobility decreased in importance for the risk of COVID-19 hospitalization, while the household crowding channel remained important. A larger share of individuals in crowded housing or with high measures of out-of-home mobility were Black, Hispanic, and lower-income—which contributed to disparities in disease risk. We conclude that structural socio-economic inequalities helped determine the cross-section of COVID-19 risk exposure in urban areas.

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新冠肺炎风险暴露的差异:来自地理位置数据的证据
我们在纽约市第一波疫情的背景下研究了新冠肺炎风险暴露的决定因素。在第一波疫情中,在个人层面上,外出活动和家庭拥挤与住院密切相关。在大规模裁员和住房到位限制之后,家庭外流动对新冠肺炎住院风险的重要性降低,而家庭拥挤渠道仍然很重要。居住在拥挤的住房中或外出流动性较高的人中,黑人、西班牙裔和低收入人群所占比例更大,这导致了疾病风险的差异。我们得出的结论是,结构性社会经济不平等有助于确定城市地区新冠肺炎风险暴露的横截面。
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来源期刊
CiteScore
5.30
自引率
9.70%
发文量
63
期刊介绍: Regional Science and Urban Economics facilitates and encourages high-quality scholarship on important issues in regional and urban economics. It publishes significant contributions that are theoretical or empirical, positive or normative. It solicits original papers with a spatial dimension that can be of interest to economists. Empirical papers studying causal mechanisms are expected to propose a convincing identification strategy.
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