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作者

Jaymee Sheng;Anup Malani;Ashish Goel;Purushotham Botla

来源

来源 JOURNAL OF URBAN ECONOMICS,Vol.127,P.

语言

英文

关键字

COVID-19;Infection;Epidemic;Slums;Mobility;Inequality

作者单位

Stanford University, United States;University of Chicago, United States;Infinite Analytics, United States;Stanford University, United States;University of Chicago, United States;Infinite Analytics, United States

摘要

SARS-CoV-2 has had a greater burden, as measured by rate of infection, in poorer communities within cities. For example, 55% of Mumbai slums residents had antibodies to COVID-19, 3.2 times the seroprevalence in non-slum areas of the city according to a sero-survey done in July 2020. One explanation is that government suppression was less severe in poorer communities, either because the poor were more likely to be exempt or unable to comply. Another explanation is that effective suppression itself accelerated the epidemic in poor neighborhoods because households are more crowded and residents share toilet and water facilities. We show there is little evidence for the first hypothesis in the context of Mumbai. Using location data from smart phones, we find that slum residents had nominally but not significantly (economically or statistically) higher mobility than non-slums prior to the sero-survey. We also find little evidence that mobility in non-slums was lower than in slums during lockdown, a subset of the period before the survey.