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A vulnerability-based approach to human-mobility reduction for countering COVID-19 transmission in London while considering local air quality

An ecologic analysis was conducted to explore the correlation between air pollution, and COVID-19 cases and fatality rates in London. The analysis demonstrated a strong correlation (R(2) > 0.7) between increment in air pollution and an increase in the risk of COVID-19 transmission within London b...

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Autores principales: Sasidharan, Manu, Singh, Ajit, Torbaghan, Mehran Eskandari, Parlikad, Ajith Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315141/
https://www.ncbi.nlm.nih.gov/pubmed/32887014
http://dx.doi.org/10.1016/j.scitotenv.2020.140515
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author Sasidharan, Manu
Singh, Ajit
Torbaghan, Mehran Eskandari
Parlikad, Ajith Kumar
author_facet Sasidharan, Manu
Singh, Ajit
Torbaghan, Mehran Eskandari
Parlikad, Ajith Kumar
author_sort Sasidharan, Manu
collection PubMed
description An ecologic analysis was conducted to explore the correlation between air pollution, and COVID-19 cases and fatality rates in London. The analysis demonstrated a strong correlation (R(2) > 0.7) between increment in air pollution and an increase in the risk of COVID-19 transmission within London boroughs. Particularly, strong correlations (R(2) > 0.72) between the risk of COVID-19 fatality and nitrogen dioxide and particulate matter pollution concentrations were found. Although this study assumed the same level of air pollution across a particular London borough, it demonstrates the possibility to employ air pollution as an indicator to rapidly identify the city's vulnerable regions. Such an approach can inform the decisions to suspend or reduce the operation of different public transport modes within a city. The methodology and learnings from the study can thus aid in public transport's response to COVID-19 outbreak by adopting different levels of human-mobility reduction strategies based on the vulnerability of a given region.
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spelling pubmed-73151412020-06-25 A vulnerability-based approach to human-mobility reduction for countering COVID-19 transmission in London while considering local air quality Sasidharan, Manu Singh, Ajit Torbaghan, Mehran Eskandari Parlikad, Ajith Kumar Sci Total Environ Article An ecologic analysis was conducted to explore the correlation between air pollution, and COVID-19 cases and fatality rates in London. The analysis demonstrated a strong correlation (R(2) > 0.7) between increment in air pollution and an increase in the risk of COVID-19 transmission within London boroughs. Particularly, strong correlations (R(2) > 0.72) between the risk of COVID-19 fatality and nitrogen dioxide and particulate matter pollution concentrations were found. Although this study assumed the same level of air pollution across a particular London borough, it demonstrates the possibility to employ air pollution as an indicator to rapidly identify the city's vulnerable regions. Such an approach can inform the decisions to suspend or reduce the operation of different public transport modes within a city. The methodology and learnings from the study can thus aid in public transport's response to COVID-19 outbreak by adopting different levels of human-mobility reduction strategies based on the vulnerability of a given region. Elsevier B.V. 2020-11-01 2020-06-25 /pmc/articles/PMC7315141/ /pubmed/32887014 http://dx.doi.org/10.1016/j.scitotenv.2020.140515 Text en © 2020 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
Sasidharan, Manu
Singh, Ajit
Torbaghan, Mehran Eskandari
Parlikad, Ajith Kumar
A vulnerability-based approach to human-mobility reduction for countering COVID-19 transmission in London while considering local air quality
title A vulnerability-based approach to human-mobility reduction for countering COVID-19 transmission in London while considering local air quality
title_full A vulnerability-based approach to human-mobility reduction for countering COVID-19 transmission in London while considering local air quality
title_fullStr A vulnerability-based approach to human-mobility reduction for countering COVID-19 transmission in London while considering local air quality
title_full_unstemmed A vulnerability-based approach to human-mobility reduction for countering COVID-19 transmission in London while considering local air quality
title_short A vulnerability-based approach to human-mobility reduction for countering COVID-19 transmission in London while considering local air quality
title_sort vulnerability-based approach to human-mobility reduction for countering covid-19 transmission in london while considering local air quality
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315141/
https://www.ncbi.nlm.nih.gov/pubmed/32887014
http://dx.doi.org/10.1016/j.scitotenv.2020.140515
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