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Implication of repatriating migrant workers on COVID-19 spread and transportation requirements

Nationwide lockdown for COVID-19 created an urgent demand for public transportation among migrant workers stranded at different parts of India to return to their native places. Arranging transportation could spike the number of COVID-19 infected cases. Hence, this paper investigates the potential su...

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Autores principales: Maji, Avijit, Choudhari, Tushar, Sushma, M.B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396945/
https://www.ncbi.nlm.nih.gov/pubmed/34173463
http://dx.doi.org/10.1016/j.trip.2020.100187
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author Maji, Avijit
Choudhari, Tushar
Sushma, M.B.
author_facet Maji, Avijit
Choudhari, Tushar
Sushma, M.B.
author_sort Maji, Avijit
collection PubMed
description Nationwide lockdown for COVID-19 created an urgent demand for public transportation among migrant workers stranded at different parts of India to return to their native places. Arranging transportation could spike the number of COVID-19 infected cases. Hence, this paper investigates the potential surge in confirmed and active cases of COVID-19 infection and assesses the train and bus fleet size required for the repatriating migrant workers. The expected to repatriate migrant worker population was obtained by forecasting the 2011 census data and comparing it with the information reported in the news media. A modified susceptible-exposed-infected-removed (SEIR) model was proposed to estimate the surge in confirmed and active cases of COVID-19 patients in India's selected states with high outflux of migrants. The developed model considered combinations of different levels of the daily arrival rate of migrant workers, total migrant workers in need of transportation, and the origin of the trip dependent symptomatic cases on arrival. Reducing the daily arrival rate of migrant workers for states with very high outflux of migrants (i.e., Uttar Pradesh and Bihar) can help to lower the surge in confirmed and active cases. Nevertheless, it could create a disparity in the number of days needed to transport all repatriating migrant workers to the home states. Hence, travel arrangements for about 100,000 migrant workers per day to Uttar Pradesh and Bihar, about 50,000 per day to Rajasthan and Madhya Pradesh, 20,000 per day to Maharashtra and less than 20,000 per day to other states of India was recommended.
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spelling pubmed-73969452020-08-03 Implication of repatriating migrant workers on COVID-19 spread and transportation requirements Maji, Avijit Choudhari, Tushar Sushma, M.B. Transportation Research Interdisciplinary Perspectives Article Nationwide lockdown for COVID-19 created an urgent demand for public transportation among migrant workers stranded at different parts of India to return to their native places. Arranging transportation could spike the number of COVID-19 infected cases. Hence, this paper investigates the potential surge in confirmed and active cases of COVID-19 infection and assesses the train and bus fleet size required for the repatriating migrant workers. The expected to repatriate migrant worker population was obtained by forecasting the 2011 census data and comparing it with the information reported in the news media. A modified susceptible-exposed-infected-removed (SEIR) model was proposed to estimate the surge in confirmed and active cases of COVID-19 patients in India's selected states with high outflux of migrants. The developed model considered combinations of different levels of the daily arrival rate of migrant workers, total migrant workers in need of transportation, and the origin of the trip dependent symptomatic cases on arrival. Reducing the daily arrival rate of migrant workers for states with very high outflux of migrants (i.e., Uttar Pradesh and Bihar) can help to lower the surge in confirmed and active cases. Nevertheless, it could create a disparity in the number of days needed to transport all repatriating migrant workers to the home states. Hence, travel arrangements for about 100,000 migrant workers per day to Uttar Pradesh and Bihar, about 50,000 per day to Rajasthan and Madhya Pradesh, 20,000 per day to Maharashtra and less than 20,000 per day to other states of India was recommended. Published by Elsevier Ltd. 2020-09 2020-08-03 /pmc/articles/PMC7396945/ /pubmed/34173463 http://dx.doi.org/10.1016/j.trip.2020.100187 Text en © 2020 Published by Elsevier Ltd. 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
Maji, Avijit
Choudhari, Tushar
Sushma, M.B.
Implication of repatriating migrant workers on COVID-19 spread and transportation requirements
title Implication of repatriating migrant workers on COVID-19 spread and transportation requirements
title_full Implication of repatriating migrant workers on COVID-19 spread and transportation requirements
title_fullStr Implication of repatriating migrant workers on COVID-19 spread and transportation requirements
title_full_unstemmed Implication of repatriating migrant workers on COVID-19 spread and transportation requirements
title_short Implication of repatriating migrant workers on COVID-19 spread and transportation requirements
title_sort implication of repatriating migrant workers on covid-19 spread and transportation requirements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396945/
https://www.ncbi.nlm.nih.gov/pubmed/34173463
http://dx.doi.org/10.1016/j.trip.2020.100187
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