{"title":"新冠肺炎风险暴露的差异:来自地理位置数据的证据","authors":"Milena Almagro , Joshua Coven , Arpit Gupta , Angelo Orane-Hutchinson","doi":"10.1016/j.regsciurbeco.2023.103933","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":48196,"journal":{"name":"Regional Science and Urban Economics","volume":"102 ","pages":"Article 103933"},"PeriodicalIF":3.5000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Disparities in COVID-19 risk exposure: Evidence from geolocation data\",\"authors\":\"Milena Almagro , Joshua Coven , Arpit Gupta , Angelo Orane-Hutchinson\",\"doi\":\"10.1016/j.regsciurbeco.2023.103933\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":48196,\"journal\":{\"name\":\"Regional Science and Urban Economics\",\"volume\":\"102 \",\"pages\":\"Article 103933\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Regional Science and Urban Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0166046223000686\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regional Science and Urban Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0166046223000686","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Disparities in COVID-19 risk exposure: Evidence from geolocation data
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.
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.