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Exploring the linkage between PM(2.5) levels and COVID-19 spread and its implications for socio-economic circles
A pneumonia-like disease of unknown origin caused a catastrophe in Wuhan city, China. This disease spread to 215 countries affecting a wide range of people. World health organization (WHO) called it a pandemic and it was officially named as Severe Acute Respiratory Syndrome Corona virus 2 (SARS CoV-...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7645282/ https://www.ncbi.nlm.nih.gov/pubmed/33160973 http://dx.doi.org/10.1016/j.envres.2020.110421 |
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author | Ali, Syeda Mahnoor Malik, Fatima Anjum, Muhammad Shehzaib Siddiqui, Ghazanfar Farooq Anwar, Muhammad Naveed Lam, Su Shiung Nizami, Abdul-Sattar Khokhar, Muhammad Fahim |
author_facet | Ali, Syeda Mahnoor Malik, Fatima Anjum, Muhammad Shehzaib Siddiqui, Ghazanfar Farooq Anwar, Muhammad Naveed Lam, Su Shiung Nizami, Abdul-Sattar Khokhar, Muhammad Fahim |
author_sort | Ali, Syeda Mahnoor |
collection | PubMed |
description | A pneumonia-like disease of unknown origin caused a catastrophe in Wuhan city, China. This disease spread to 215 countries affecting a wide range of people. World health organization (WHO) called it a pandemic and it was officially named as Severe Acute Respiratory Syndrome Corona virus 2 (SARS CoV-2), also known as Corona virus disease (COVID-19). This pandemic compelled countries to enforce a socio-economic lockdown to prevent its widespread. This paper focuses on how the particulate matter pollution was reduced during the lockdown period (23 March to April 15, 2020) as compared to before lockdown. Both ground-based and satellite observations were used to identify the improvement in air quality of Pakistan with primary focus on four major cities of Lahore, Islamabad, Karachi and Peshawar. Both datasets have shown a substantial reduction in PM(2.5) pollution levels (ranging from 13% to 33% in case of satellite observations, while 23%–58% in ground-based observations) across Pakistan. Result shows a higher rate of COVID-19 spread in major cities of Pakistan with poor air quality conditions. Yet more research is needed in order to establish linkage between COVID-19 spread and air pollution. However, it can be partially attributed to both higher rate of population density and frequent exposure of population to enhanced levels of PM(2.5) concentrations before lockdown period. |
format | Online Article Text |
id | pubmed-7645282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76452822020-11-06 Exploring the linkage between PM(2.5) levels and COVID-19 spread and its implications for socio-economic circles Ali, Syeda Mahnoor Malik, Fatima Anjum, Muhammad Shehzaib Siddiqui, Ghazanfar Farooq Anwar, Muhammad Naveed Lam, Su Shiung Nizami, Abdul-Sattar Khokhar, Muhammad Fahim Environ Res Article A pneumonia-like disease of unknown origin caused a catastrophe in Wuhan city, China. This disease spread to 215 countries affecting a wide range of people. World health organization (WHO) called it a pandemic and it was officially named as Severe Acute Respiratory Syndrome Corona virus 2 (SARS CoV-2), also known as Corona virus disease (COVID-19). This pandemic compelled countries to enforce a socio-economic lockdown to prevent its widespread. This paper focuses on how the particulate matter pollution was reduced during the lockdown period (23 March to April 15, 2020) as compared to before lockdown. Both ground-based and satellite observations were used to identify the improvement in air quality of Pakistan with primary focus on four major cities of Lahore, Islamabad, Karachi and Peshawar. Both datasets have shown a substantial reduction in PM(2.5) pollution levels (ranging from 13% to 33% in case of satellite observations, while 23%–58% in ground-based observations) across Pakistan. Result shows a higher rate of COVID-19 spread in major cities of Pakistan with poor air quality conditions. Yet more research is needed in order to establish linkage between COVID-19 spread and air pollution. However, it can be partially attributed to both higher rate of population density and frequent exposure of population to enhanced levels of PM(2.5) concentrations before lockdown period. Elsevier Inc. 2021-02 2020-11-06 /pmc/articles/PMC7645282/ /pubmed/33160973 http://dx.doi.org/10.1016/j.envres.2020.110421 Text en © 2020 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 Ali, Syeda Mahnoor Malik, Fatima Anjum, Muhammad Shehzaib Siddiqui, Ghazanfar Farooq Anwar, Muhammad Naveed Lam, Su Shiung Nizami, Abdul-Sattar Khokhar, Muhammad Fahim Exploring the linkage between PM(2.5) levels and COVID-19 spread and its implications for socio-economic circles |
title | Exploring the linkage between PM(2.5) levels and COVID-19 spread and its implications for socio-economic circles |
title_full | Exploring the linkage between PM(2.5) levels and COVID-19 spread and its implications for socio-economic circles |
title_fullStr | Exploring the linkage between PM(2.5) levels and COVID-19 spread and its implications for socio-economic circles |
title_full_unstemmed | Exploring the linkage between PM(2.5) levels and COVID-19 spread and its implications for socio-economic circles |
title_short | Exploring the linkage between PM(2.5) levels and COVID-19 spread and its implications for socio-economic circles |
title_sort | exploring the linkage between pm(2.5) levels and covid-19 spread and its implications for socio-economic circles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7645282/ https://www.ncbi.nlm.nih.gov/pubmed/33160973 http://dx.doi.org/10.1016/j.envres.2020.110421 |
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