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The interactive effects of ambient air pollutants-meteorological factors on confirmed cases of COVID-19 in 120 Chinese cities

Emerging evidence has confirmed meteorological factors and air pollutants affect novel coronavirus disease 2019 (COVID-19). However, no studies to date have considered the impact of interactions between meteorological factors and air pollutants on COVID-19 transmission. This study explores the assoc...

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Detalles Bibliográficos
Autores principales: Zhou, Jianli, Qin, Linyuan, Meng, Xiaojing, Liu, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837878/
https://www.ncbi.nlm.nih.gov/pubmed/33501581
http://dx.doi.org/10.1007/s11356-021-12648-9
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author Zhou, Jianli
Qin, Linyuan
Meng, Xiaojing
Liu, Nan
author_facet Zhou, Jianli
Qin, Linyuan
Meng, Xiaojing
Liu, Nan
author_sort Zhou, Jianli
collection PubMed
description Emerging evidence has confirmed meteorological factors and air pollutants affect novel coronavirus disease 2019 (COVID-19). However, no studies to date have considered the impact of interactions between meteorological factors and air pollutants on COVID-19 transmission. This study explores the association between ambient air pollutants (PM(2.5), NO(2), SO(2), CO, and O(3)), meteorological factors (average temperature, diurnal temperature range, relative humidity, wind velocity, air pressure, precipitation, and hours of sunshine), and their interaction on confirmed case counts of COVID-19 in 120 Chinese cities. We modeled total confirmed cases of COVID-19 as the dependent variable with meteorological factors, air pollutants, and their interactions as the independent variables. To account for potential migration effects, we included the migration scale index (MSI) from Wuhan to each of the 120 cities included in the model, using data from 15 Jan. to 18 Mar. 2020. As an important confounding factor, MSI was considered in a negative binomial regression analysis. Positive associations were found between the number of confirmed cases of COVID-19 and CO, PM(2.5), relative humidity, and O(3), with and without MSI-adjustment. Negative associations were also found for SO(2) and wind velocity both with and without controlling for population migration. In addition, air pollutants and meteorological factors had interactive effects on COVID-19 after controlling for MSI. In conclusion, air pollutants, meteorological factors, and their interactions all affect COVID-19 cases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-021-12648-9.
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spelling pubmed-78378782021-01-28 The interactive effects of ambient air pollutants-meteorological factors on confirmed cases of COVID-19 in 120 Chinese cities Zhou, Jianli Qin, Linyuan Meng, Xiaojing Liu, Nan Environ Sci Pollut Res Int Research Article Emerging evidence has confirmed meteorological factors and air pollutants affect novel coronavirus disease 2019 (COVID-19). However, no studies to date have considered the impact of interactions between meteorological factors and air pollutants on COVID-19 transmission. This study explores the association between ambient air pollutants (PM(2.5), NO(2), SO(2), CO, and O(3)), meteorological factors (average temperature, diurnal temperature range, relative humidity, wind velocity, air pressure, precipitation, and hours of sunshine), and their interaction on confirmed case counts of COVID-19 in 120 Chinese cities. We modeled total confirmed cases of COVID-19 as the dependent variable with meteorological factors, air pollutants, and their interactions as the independent variables. To account for potential migration effects, we included the migration scale index (MSI) from Wuhan to each of the 120 cities included in the model, using data from 15 Jan. to 18 Mar. 2020. As an important confounding factor, MSI was considered in a negative binomial regression analysis. Positive associations were found between the number of confirmed cases of COVID-19 and CO, PM(2.5), relative humidity, and O(3), with and without MSI-adjustment. Negative associations were also found for SO(2) and wind velocity both with and without controlling for population migration. In addition, air pollutants and meteorological factors had interactive effects on COVID-19 after controlling for MSI. In conclusion, air pollutants, meteorological factors, and their interactions all affect COVID-19 cases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-021-12648-9. Springer Berlin Heidelberg 2021-01-27 2021 /pmc/articles/PMC7837878/ /pubmed/33501581 http://dx.doi.org/10.1007/s11356-021-12648-9 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Zhou, Jianli
Qin, Linyuan
Meng, Xiaojing
Liu, Nan
The interactive effects of ambient air pollutants-meteorological factors on confirmed cases of COVID-19 in 120 Chinese cities
title The interactive effects of ambient air pollutants-meteorological factors on confirmed cases of COVID-19 in 120 Chinese cities
title_full The interactive effects of ambient air pollutants-meteorological factors on confirmed cases of COVID-19 in 120 Chinese cities
title_fullStr The interactive effects of ambient air pollutants-meteorological factors on confirmed cases of COVID-19 in 120 Chinese cities
title_full_unstemmed The interactive effects of ambient air pollutants-meteorological factors on confirmed cases of COVID-19 in 120 Chinese cities
title_short The interactive effects of ambient air pollutants-meteorological factors on confirmed cases of COVID-19 in 120 Chinese cities
title_sort interactive effects of ambient air pollutants-meteorological factors on confirmed cases of covid-19 in 120 chinese cities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837878/
https://www.ncbi.nlm.nih.gov/pubmed/33501581
http://dx.doi.org/10.1007/s11356-021-12648-9
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