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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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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. |
format | Online Article Text |
id | pubmed-7837878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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