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Risk analysis of different transport vehicles in India during COVID-19 pandemic

Due to the airborne nature of viral particles, adequate ventilation has been identified as one suitable mitigation strategy for reducing their transmission. While ‘dilution of air by opening the window’ has been prescribed by national and international health agencies, unintended detrimental consequ...

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Autores principales: Das, Darpan, Ramachandran, Gurumurthy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110332/
https://www.ncbi.nlm.nih.gov/pubmed/33984308
http://dx.doi.org/10.1016/j.envres.2021.111268
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author Das, Darpan
Ramachandran, Gurumurthy
author_facet Das, Darpan
Ramachandran, Gurumurthy
author_sort Das, Darpan
collection PubMed
description Due to the airborne nature of viral particles, adequate ventilation has been identified as one suitable mitigation strategy for reducing their transmission. While ‘dilution of air by opening the window’ has been prescribed by national and international health agencies, unintended detrimental consequences might result in many developing countries with high ambient air pollution. In the present study, PM(2.5) exposure concentration and probability of mortality due to PM(2.5) in different scenarios were assessed. A COVID airborne infection risk estimator was used to estimate the probability of infection by aerosol transmission in various commuter micro-environments: (a) air conditioned (AC) taxi (b) non-AC taxi (c) bus and (d) autorickshaw. The following were the estimated exposure concentrations in the four types of vehicles during pre-lockdown, during lockdown, and lost-lockdown: AC taxi cars (17.16 μg/m(3), 4.52 μg/m(3), and 25.09 μg/m(3)); non-AC taxis: (28.74 μg/m(3), 7.56 μg/m(3), 42.01 μg/m(3)); buses (21.79 μg/m(3), 5.73 μg/m(3), 31.86 μg/m(3)) autorickshaws (51.30 μg/m(3), 3.50 μg/m(3), 75 μg/m(3)). Post-lockdown, the probability of mortality due to PM(2.5) was highest for autorickshaws (5.67 × 10(−3)), followed by non-AC taxis (2.07 × 10(−3)), buses (1.39 × 10(−3)), and AC taxis (1.02 × 10(−3)). This order of risk is inverted for the probability of infection by SARS-COV-2, with the highest for AC taxis (6.10 × 10(−2)), followed by non-AC taxis (1.71 × 10(−2)), buses (1.42 × 10(−2)), and the lowest risk in autorickshaws (1.99 × 10(−4)). The findings of the present study suggest that vehicles with higher ventilation or air changes per hour (ACH) should be preferred over other modes of transport during COVID-19 pandemic.
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spelling pubmed-81103322021-05-11 Risk analysis of different transport vehicles in India during COVID-19 pandemic Das, Darpan Ramachandran, Gurumurthy Environ Res Article Due to the airborne nature of viral particles, adequate ventilation has been identified as one suitable mitigation strategy for reducing their transmission. While ‘dilution of air by opening the window’ has been prescribed by national and international health agencies, unintended detrimental consequences might result in many developing countries with high ambient air pollution. In the present study, PM(2.5) exposure concentration and probability of mortality due to PM(2.5) in different scenarios were assessed. A COVID airborne infection risk estimator was used to estimate the probability of infection by aerosol transmission in various commuter micro-environments: (a) air conditioned (AC) taxi (b) non-AC taxi (c) bus and (d) autorickshaw. The following were the estimated exposure concentrations in the four types of vehicles during pre-lockdown, during lockdown, and lost-lockdown: AC taxi cars (17.16 μg/m(3), 4.52 μg/m(3), and 25.09 μg/m(3)); non-AC taxis: (28.74 μg/m(3), 7.56 μg/m(3), 42.01 μg/m(3)); buses (21.79 μg/m(3), 5.73 μg/m(3), 31.86 μg/m(3)) autorickshaws (51.30 μg/m(3), 3.50 μg/m(3), 75 μg/m(3)). Post-lockdown, the probability of mortality due to PM(2.5) was highest for autorickshaws (5.67 × 10(−3)), followed by non-AC taxis (2.07 × 10(−3)), buses (1.39 × 10(−3)), and AC taxis (1.02 × 10(−3)). This order of risk is inverted for the probability of infection by SARS-COV-2, with the highest for AC taxis (6.10 × 10(−2)), followed by non-AC taxis (1.71 × 10(−2)), buses (1.42 × 10(−2)), and the lowest risk in autorickshaws (1.99 × 10(−4)). The findings of the present study suggest that vehicles with higher ventilation or air changes per hour (ACH) should be preferred over other modes of transport during COVID-19 pandemic. Elsevier Inc. 2021-08 2021-05-11 /pmc/articles/PMC8110332/ /pubmed/33984308 http://dx.doi.org/10.1016/j.envres.2021.111268 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
Das, Darpan
Ramachandran, Gurumurthy
Risk analysis of different transport vehicles in India during COVID-19 pandemic
title Risk analysis of different transport vehicles in India during COVID-19 pandemic
title_full Risk analysis of different transport vehicles in India during COVID-19 pandemic
title_fullStr Risk analysis of different transport vehicles in India during COVID-19 pandemic
title_full_unstemmed Risk analysis of different transport vehicles in India during COVID-19 pandemic
title_short Risk analysis of different transport vehicles in India during COVID-19 pandemic
title_sort risk analysis of different transport vehicles in india during covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110332/
https://www.ncbi.nlm.nih.gov/pubmed/33984308
http://dx.doi.org/10.1016/j.envres.2021.111268
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