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Ambient nitrogen dioxide pollution and spreadability of COVID-19 in Chinese cities

This study aims to explore the relationship between ambient NO(2) levels and the transmission ability (basic reproductive number, R(0)) of COVID-19 in 63 Chinese cities. After adjustment for temperature and relative humidity, R(0) was positively associated with NO(2) concentration at city level. The...

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Autores principales: Yao, Ye, Pan, Jinhua, Liu, Zhixi, Meng, Xia, Wang, Weidong, Kan, Haidong, Wang, Weibing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524685/
https://www.ncbi.nlm.nih.gov/pubmed/33038729
http://dx.doi.org/10.1016/j.ecoenv.2020.111421
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author Yao, Ye
Pan, Jinhua
Liu, Zhixi
Meng, Xia
Wang, Weidong
Kan, Haidong
Wang, Weibing
author_facet Yao, Ye
Pan, Jinhua
Liu, Zhixi
Meng, Xia
Wang, Weidong
Kan, Haidong
Wang, Weibing
author_sort Yao, Ye
collection PubMed
description This study aims to explore the relationship between ambient NO(2) levels and the transmission ability (basic reproductive number, R(0)) of COVID-19 in 63 Chinese cities. After adjustment for temperature and relative humidity, R(0) was positively associated with NO(2) concentration at city level. The temporal analysis within Hubei province indicated that all the 11 Hubei cities (except Xianning City) had significant positive correlations between NO(2) concentration (with 12-day time lag) and R(0) (r > 0.51, p < 0.005). Since the association between ambient NO(2) and R(0) indicated NO(2) may increase underlying risk of infection in the transmission process of COVID-19. In addition, NO(2) is also an indicator of traffic-related air pollution, the association between NO(2) and COVID-19′s spreadability suggest that reduced population movement may have reduced the spread of the SARS-CoV-2.
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spelling pubmed-75246852020-09-30 Ambient nitrogen dioxide pollution and spreadability of COVID-19 in Chinese cities Yao, Ye Pan, Jinhua Liu, Zhixi Meng, Xia Wang, Weidong Kan, Haidong Wang, Weibing Ecotoxicol Environ Saf Article This study aims to explore the relationship between ambient NO(2) levels and the transmission ability (basic reproductive number, R(0)) of COVID-19 in 63 Chinese cities. After adjustment for temperature and relative humidity, R(0) was positively associated with NO(2) concentration at city level. The temporal analysis within Hubei province indicated that all the 11 Hubei cities (except Xianning City) had significant positive correlations between NO(2) concentration (with 12-day time lag) and R(0) (r > 0.51, p < 0.005). Since the association between ambient NO(2) and R(0) indicated NO(2) may increase underlying risk of infection in the transmission process of COVID-19. In addition, NO(2) is also an indicator of traffic-related air pollution, the association between NO(2) and COVID-19′s spreadability suggest that reduced population movement may have reduced the spread of the SARS-CoV-2. Elsevier 2021-01-15 /pmc/articles/PMC7524685/ /pubmed/33038729 http://dx.doi.org/10.1016/j.ecoenv.2020.111421 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yao, Ye
Pan, Jinhua
Liu, Zhixi
Meng, Xia
Wang, Weidong
Kan, Haidong
Wang, Weibing
Ambient nitrogen dioxide pollution and spreadability of COVID-19 in Chinese cities
title Ambient nitrogen dioxide pollution and spreadability of COVID-19 in Chinese cities
title_full Ambient nitrogen dioxide pollution and spreadability of COVID-19 in Chinese cities
title_fullStr Ambient nitrogen dioxide pollution and spreadability of COVID-19 in Chinese cities
title_full_unstemmed Ambient nitrogen dioxide pollution and spreadability of COVID-19 in Chinese cities
title_short Ambient nitrogen dioxide pollution and spreadability of COVID-19 in Chinese cities
title_sort ambient nitrogen dioxide pollution and spreadability of covid-19 in chinese cities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524685/
https://www.ncbi.nlm.nih.gov/pubmed/33038729
http://dx.doi.org/10.1016/j.ecoenv.2020.111421
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