Litcius/Paper detail

Racial Disparities in Frontline Workers and Housing Crowding during COVID-19: Evidence from Geolocation Data

Milena Almagro, Joshua Coven, Arpit Gupta, Angelo Orane-Hutchinson

202045 citationsDOIOpen Access PDF

Abstract

We examine the determinants of COVID-19 risk exposure in the context of the initial wave in New York City. During the beginning of the first wave of the pandemic, outof-home activity related to commuting was strongly associated with COVID-19 cases at the ZIP code level and hospitalization at an individual level. After layoffs of workers decreased commuting, case growth continued through household crowding. A larger share of individuals in crowded housing, or commuting to essential and frontline work, are Black, Hispanic, and lower-income-which contributes to disparities in disease risk. As a result, our paper shows that structural socio-economic inequalities help determine the cross-section of COVID-19 risk exposure in urban areas.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)CrowdingContext (archaeology)Demographic economicsInequalityPandemic2019-20 coronavirus outbreakGeolocationHealth equitySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)GeographyEnvironmental healthBusinessMedicineEconomicsEconomic growthDiseaseOutbreakPsychologyHealth careInfectious disease (medical specialty)VirologyPathologyNeuroscienceMathematical analysisMathematicsArchaeologyComputer scienceWorld Wide WebCOVID-19 epidemiological studiesUrban, Neighborhood, and Segregation StudiesHomelessness and Social Issues