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Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic
With outbreak of the novel coronavirus disease (COVID-19), immediate prevention and control actions were imposed in China. Here, we conducted a timely investigation on the changes of air quality, associated health burden and economic loss during the COVID-19 pandemic (January 1 to May 2, 2020). We f...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574695/ https://www.ncbi.nlm.nih.gov/pubmed/33100451 http://dx.doi.org/10.1016/j.atmosres.2020.105328 |
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author | Nie, Dongyang Shen, Fuzhen Wang, Junfeng Ma, Xiaoyun Li, Zhirao Ge, Pengxiang Ou, Yang Jiang, Yuan Chen, Meijuan Chen, Mindong Wang, Tijian Ge, Xinlei |
author_facet | Nie, Dongyang Shen, Fuzhen Wang, Junfeng Ma, Xiaoyun Li, Zhirao Ge, Pengxiang Ou, Yang Jiang, Yuan Chen, Meijuan Chen, Mindong Wang, Tijian Ge, Xinlei |
author_sort | Nie, Dongyang |
collection | PubMed |
description | With outbreak of the novel coronavirus disease (COVID-19), immediate prevention and control actions were imposed in China. Here, we conducted a timely investigation on the changes of air quality, associated health burden and economic loss during the COVID-19 pandemic (January 1 to May 2, 2020). We found an overall improvement of air quality by analyzing data from 31 provincial cities, due to varying degrees of NO(2), PM(2.5), PM(10) and CO reductions outweighing the significant O(3) increase. Such improvement corresponds to a total avoided premature mortality of 9410 (7273–11,144) in the 31 cities by comparing the health burdens between 2019 and 2020. NO(2) reduction was the largest contributor (55%) to this health benefit, far exceeding PM(2.5) (10.9%) and PM(10) (23.9%). O(3) instead was the only negative factor among six pollutants. The period with the largest daily avoided deaths was rather not the period with strict lockdown but that during February 25 to March 31, due to largest reduction of NO(2) and smallest increase of O(3). Southwest, Central and East China were regions with relatively high daily avoided deaths, while for some cities in Northeast China, the air pollution was even worse, therefore could cause more deaths than 2019. Correspondingly, the avoided health economic loss attributable to air quality improvement was 19.4 (15.0–23.0) billion. Its distribution was generally similar to results of health burden, except that due to regional differences in willingness to pay to reduce risks of premature deaths, East China became the region with largest daily avoided economic loss. Our results here quantitatively assess the effects of short-term control measures on changes of air quality as well as its associated health and economic burden, and such information is beneficial to future air pollution control. |
format | Online Article Text |
id | pubmed-7574695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75746952020-10-21 Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic Nie, Dongyang Shen, Fuzhen Wang, Junfeng Ma, Xiaoyun Li, Zhirao Ge, Pengxiang Ou, Yang Jiang, Yuan Chen, Meijuan Chen, Mindong Wang, Tijian Ge, Xinlei Atmos Res Article With outbreak of the novel coronavirus disease (COVID-19), immediate prevention and control actions were imposed in China. Here, we conducted a timely investigation on the changes of air quality, associated health burden and economic loss during the COVID-19 pandemic (January 1 to May 2, 2020). We found an overall improvement of air quality by analyzing data from 31 provincial cities, due to varying degrees of NO(2), PM(2.5), PM(10) and CO reductions outweighing the significant O(3) increase. Such improvement corresponds to a total avoided premature mortality of 9410 (7273–11,144) in the 31 cities by comparing the health burdens between 2019 and 2020. NO(2) reduction was the largest contributor (55%) to this health benefit, far exceeding PM(2.5) (10.9%) and PM(10) (23.9%). O(3) instead was the only negative factor among six pollutants. The period with the largest daily avoided deaths was rather not the period with strict lockdown but that during February 25 to March 31, due to largest reduction of NO(2) and smallest increase of O(3). Southwest, Central and East China were regions with relatively high daily avoided deaths, while for some cities in Northeast China, the air pollution was even worse, therefore could cause more deaths than 2019. Correspondingly, the avoided health economic loss attributable to air quality improvement was 19.4 (15.0–23.0) billion. Its distribution was generally similar to results of health burden, except that due to regional differences in willingness to pay to reduce risks of premature deaths, East China became the region with largest daily avoided economic loss. Our results here quantitatively assess the effects of short-term control measures on changes of air quality as well as its associated health and economic burden, and such information is beneficial to future air pollution control. Elsevier B.V. 2021-02 2020-10-20 /pmc/articles/PMC7574695/ /pubmed/33100451 http://dx.doi.org/10.1016/j.atmosres.2020.105328 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 Nie, Dongyang Shen, Fuzhen Wang, Junfeng Ma, Xiaoyun Li, Zhirao Ge, Pengxiang Ou, Yang Jiang, Yuan Chen, Meijuan Chen, Mindong Wang, Tijian Ge, Xinlei Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic |
title | Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic |
title_full | Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic |
title_fullStr | Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic |
title_full_unstemmed | Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic |
title_short | Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic |
title_sort | changes of air quality and its associated health and economic burden in 31 provincial capital cities in china during covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574695/ https://www.ncbi.nlm.nih.gov/pubmed/33100451 http://dx.doi.org/10.1016/j.atmosres.2020.105328 |
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