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

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@article{2104a61458a142dea773059ec337c284,
title = "A vulnerability-based approach to human-mobility reduction for countering COVID-19 transmission in London while considering local air quality",
abstract = "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 (R2 > 0.7) between increment in air pollution and an increase in the risk of COVID-19 transmission within London boroughs. Particularly, strong correlations (R2 > 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.",
keywords = "covid-19, Human mobility, Air pollution, Particulate matter (PM2.5), Nitrogen dioxide (NO2), Transport",
author = "Manu Sasidharan and Ajit Singh and {Eskandari Torbaghan}, Mehran and {Kumar Parlikada}, Ajith",
year = "2020",
month = jun,
day = "25",
doi = "https://doi.org/10.1016/j.scitotenv.2020.140515",
language = "English",
volume = "741",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A vulnerability-based approach to human-mobility reduction for countering COVID-19 transmission in London while considering local air quality

AU - Sasidharan, Manu

AU - Singh, Ajit

AU - Eskandari Torbaghan, Mehran

AU - Kumar Parlikada, Ajith

PY - 2020/6/25

Y1 - 2020/6/25

N2 - 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 (R2 > 0.7) between increment in air pollution and an increase in the risk of COVID-19 transmission within London boroughs. Particularly, strong correlations (R2 > 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.

AB - 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 (R2 > 0.7) between increment in air pollution and an increase in the risk of COVID-19 transmission within London boroughs. Particularly, strong correlations (R2 > 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.

KW - covid-19

KW - Human mobility

KW - Air pollution

KW - Particulate matter (PM2.5)

KW - Nitrogen dioxide (NO2)

KW - Transport

U2 - https://doi.org/10.1016/j.scitotenv.2020.140515

DO - https://doi.org/10.1016/j.scitotenv.2020.140515

M3 - Article

VL - 741

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -