Cargando…
JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India?
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...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886515/ https://www.ncbi.nlm.nih.gov/pubmed/35250114 http://dx.doi.org/10.1016/j.jue.2021.103357 |
_version_ | 1784660685682114560 |
---|---|
author | Sheng, Jaymee Malani, Anup Goel, Ashish Botla, Purushotham |
author_facet | Sheng, Jaymee Malani, Anup Goel, Ashish Botla, Purushotham |
author_sort | Sheng, Jaymee |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8886515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88865152022-03-01 JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India? Sheng, Jaymee Malani, Anup Goel, Ashish Botla, Purushotham J Urban Econ Article 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. Elsevier Inc. 2022-01 2021-05-15 /pmc/articles/PMC8886515/ /pubmed/35250114 http://dx.doi.org/10.1016/j.jue.2021.103357 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Sheng, Jaymee Malani, Anup Goel, Ashish Botla, Purushotham JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India? |
title | JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India? |
title_full | JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India? |
title_fullStr | JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India? |
title_full_unstemmed | JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India? |
title_short | JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India? |
title_sort | jue insights: does mobility explain why slums were hit harder by covid-19 in mumbai, india? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886515/ https://www.ncbi.nlm.nih.gov/pubmed/35250114 http://dx.doi.org/10.1016/j.jue.2021.103357 |
work_keys_str_mv | AT shengjaymee jueinsightsdoesmobilityexplainwhyslumswerehitharderbycovid19inmumbaiindia AT malanianup jueinsightsdoesmobilityexplainwhyslumswerehitharderbycovid19inmumbaiindia AT goelashish jueinsightsdoesmobilityexplainwhyslumswerehitharderbycovid19inmumbaiindia AT botlapurushotham jueinsightsdoesmobilityexplainwhyslumswerehitharderbycovid19inmumbaiindia |