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Investigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas

Urbanization introduces the threat of increased epidemic disease transmission resulting from crowding on mass transit. The coronavirus disease 2019 (COVID-19) pandemic, which has directly led to over 600,000 deaths in the US as of July 2021, triggered mass social distancing policies to be enacted as...

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Autores principales: Thomas, Michael M., Mohammadi, Neda, Taylor, John E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662904/
https://www.ncbi.nlm.nih.gov/pubmed/34902421
http://dx.doi.org/10.1016/j.scitotenv.2021.152284
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author Thomas, Michael M.
Mohammadi, Neda
Taylor, John E.
author_facet Thomas, Michael M.
Mohammadi, Neda
Taylor, John E.
author_sort Thomas, Michael M.
collection PubMed
description Urbanization introduces the threat of increased epidemic disease transmission resulting from crowding on mass transit. The coronavirus disease 2019 (COVID-19) pandemic, which has directly led to over 600,000 deaths in the US as of July 2021, triggered mass social distancing policies to be enacted as a key deterrent of widespread infections. Social distancing can be challenging in confined spaces required for transportation such as mass transit systems. Little is published regarding the degree to which mass transit system adoption effects impacted the rise of the COVID-19 pandemic in urban centers. Taking an ecological approach where areal data are the unit of observation, this national-scale study aims to measure the association between the adoption of mass transit and COVID-19 spread through confirmed cases in US metropolitan areas. National survey-based transit adoption measures are entered in negative binomial regression models to evaluate differences between areas. The model results demonstrate that mass transit adoption in US metropolitan areas was associated with the magnitude of outbreaks. Higher incidence of COVID-19 early in the pandemic was associated with survey results conveying higher transit use. Increasing weekly bus transit usage in metropolitan statistical areas by one scaled unit was associated with a 1.38 [95% CI: (1.25, 1.90)] times increase in incidence rate of COVID-19; a one scaled unit increase in weekly train transit usage was associated with an increase in incidence rate of 1.54 [95% CI: (1.42, 2.07)] times. These conclusions should inform early action practices in urban centers with busy transit systems in the event of future infectious disease outbreaks. Deeper understanding of these observed associations may also benefit modeling efforts by allowing researchers to include mathematical adjustments or better explain caveats to results when communicating with decision makers and the public in the crucial early stages of an epidemic.
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spelling pubmed-86629042021-12-10 Investigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas Thomas, Michael M. Mohammadi, Neda Taylor, John E. Sci Total Environ Article Urbanization introduces the threat of increased epidemic disease transmission resulting from crowding on mass transit. The coronavirus disease 2019 (COVID-19) pandemic, which has directly led to over 600,000 deaths in the US as of July 2021, triggered mass social distancing policies to be enacted as a key deterrent of widespread infections. Social distancing can be challenging in confined spaces required for transportation such as mass transit systems. Little is published regarding the degree to which mass transit system adoption effects impacted the rise of the COVID-19 pandemic in urban centers. Taking an ecological approach where areal data are the unit of observation, this national-scale study aims to measure the association between the adoption of mass transit and COVID-19 spread through confirmed cases in US metropolitan areas. National survey-based transit adoption measures are entered in negative binomial regression models to evaluate differences between areas. The model results demonstrate that mass transit adoption in US metropolitan areas was associated with the magnitude of outbreaks. Higher incidence of COVID-19 early in the pandemic was associated with survey results conveying higher transit use. Increasing weekly bus transit usage in metropolitan statistical areas by one scaled unit was associated with a 1.38 [95% CI: (1.25, 1.90)] times increase in incidence rate of COVID-19; a one scaled unit increase in weekly train transit usage was associated with an increase in incidence rate of 1.54 [95% CI: (1.42, 2.07)] times. These conclusions should inform early action practices in urban centers with busy transit systems in the event of future infectious disease outbreaks. Deeper understanding of these observed associations may also benefit modeling efforts by allowing researchers to include mathematical adjustments or better explain caveats to results when communicating with decision makers and the public in the crucial early stages of an epidemic. Elsevier B.V. 2022-03-10 2021-12-10 /pmc/articles/PMC8662904/ /pubmed/34902421 http://dx.doi.org/10.1016/j.scitotenv.2021.152284 Text en © 2021 Elsevier B.V. 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
Thomas, Michael M.
Mohammadi, Neda
Taylor, John E.
Investigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas
title Investigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas
title_full Investigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas
title_fullStr Investigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas
title_full_unstemmed Investigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas
title_short Investigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas
title_sort investigating the association between mass transit adoption and covid-19 infections in us metropolitan areas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662904/
https://www.ncbi.nlm.nih.gov/pubmed/34902421
http://dx.doi.org/10.1016/j.scitotenv.2021.152284
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