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Association between ozone and influenza transmissibility in China

BACKGROUND: Common air pollutants such as ozone (O(3)), sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), and particulate matter play significant roles as influential factors in influenza-like illness (ILI). However, evidence regarding the impact of O(3) on influenza transmissibility in multi-subtro...

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Autores principales: Yang, Jiao, Zhang, Ting, Yang, Liuyang, Han, Xuan, Zhang, Xingxing, Wang, Qing, Feng, Luzhao, Yang, Weizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626750/
https://www.ncbi.nlm.nih.gov/pubmed/37932657
http://dx.doi.org/10.1186/s12879-023-08769-w
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author Yang, Jiao
Zhang, Ting
Yang, Liuyang
Han, Xuan
Zhang, Xingxing
Wang, Qing
Feng, Luzhao
Yang, Weizhong
author_facet Yang, Jiao
Zhang, Ting
Yang, Liuyang
Han, Xuan
Zhang, Xingxing
Wang, Qing
Feng, Luzhao
Yang, Weizhong
author_sort Yang, Jiao
collection PubMed
description BACKGROUND: Common air pollutants such as ozone (O(3)), sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), and particulate matter play significant roles as influential factors in influenza-like illness (ILI). However, evidence regarding the impact of O(3) on influenza transmissibility in multi-subtropical regions is limited, and our understanding of the effects of O(3) on influenza transmissibility in temperate regions remain unknown. METHODS: We studied the transmissibility of influenza in eight provinces across both temperate and subtropical regions in China based on 2013 to 2018 provincial-level surveillance data on influenza-like illness (ILI) incidence and viral activity. We estimated influenza transmissibility by using the instantaneous reproduction number ([Formula: see text] ) and examined the relationships between transmissibility and daily O(3) concentrations, air temperature, humidity, and school holidays. We developed a multivariable regression model for [Formula: see text] to quantify the contribution of O(3) to variations in transmissibility. RESULTS: Our findings revealed a significant association between O(3) and influenza transmissibility. In Beijing, Tianjin, Shanghai and Jiangsu, the association exhibited a U-shaped trend. In Liaoning, Gansu, Hunan, and Guangdong, the association was L-shaped. When aggregating data across all eight provinces, a U-shaped association was emerged. O(3) was able to accounted for up to 13% of the variance in [Formula: see text] . O(3) plus other environmental drivers including mean daily temperature, relative humidity, absolute humidity, and school holidays explained up to 20% of the variance in [Formula: see text] . CONCLUSIONS: O(3) was a significant driver of influenza transmissibility, and the association between O(3) and influenza transmissibility tended to display a U-shaped pattern. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08769-w.
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spelling pubmed-106267502023-11-07 Association between ozone and influenza transmissibility in China Yang, Jiao Zhang, Ting Yang, Liuyang Han, Xuan Zhang, Xingxing Wang, Qing Feng, Luzhao Yang, Weizhong BMC Infect Dis Research BACKGROUND: Common air pollutants such as ozone (O(3)), sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), and particulate matter play significant roles as influential factors in influenza-like illness (ILI). However, evidence regarding the impact of O(3) on influenza transmissibility in multi-subtropical regions is limited, and our understanding of the effects of O(3) on influenza transmissibility in temperate regions remain unknown. METHODS: We studied the transmissibility of influenza in eight provinces across both temperate and subtropical regions in China based on 2013 to 2018 provincial-level surveillance data on influenza-like illness (ILI) incidence and viral activity. We estimated influenza transmissibility by using the instantaneous reproduction number ([Formula: see text] ) and examined the relationships between transmissibility and daily O(3) concentrations, air temperature, humidity, and school holidays. We developed a multivariable regression model for [Formula: see text] to quantify the contribution of O(3) to variations in transmissibility. RESULTS: Our findings revealed a significant association between O(3) and influenza transmissibility. In Beijing, Tianjin, Shanghai and Jiangsu, the association exhibited a U-shaped trend. In Liaoning, Gansu, Hunan, and Guangdong, the association was L-shaped. When aggregating data across all eight provinces, a U-shaped association was emerged. O(3) was able to accounted for up to 13% of the variance in [Formula: see text] . O(3) plus other environmental drivers including mean daily temperature, relative humidity, absolute humidity, and school holidays explained up to 20% of the variance in [Formula: see text] . CONCLUSIONS: O(3) was a significant driver of influenza transmissibility, and the association between O(3) and influenza transmissibility tended to display a U-shaped pattern. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08769-w. BioMed Central 2023-11-06 /pmc/articles/PMC10626750/ /pubmed/37932657 http://dx.doi.org/10.1186/s12879-023-08769-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yang, Jiao
Zhang, Ting
Yang, Liuyang
Han, Xuan
Zhang, Xingxing
Wang, Qing
Feng, Luzhao
Yang, Weizhong
Association between ozone and influenza transmissibility in China
title Association between ozone and influenza transmissibility in China
title_full Association between ozone and influenza transmissibility in China
title_fullStr Association between ozone and influenza transmissibility in China
title_full_unstemmed Association between ozone and influenza transmissibility in China
title_short Association between ozone and influenza transmissibility in China
title_sort association between ozone and influenza transmissibility in china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626750/
https://www.ncbi.nlm.nih.gov/pubmed/37932657
http://dx.doi.org/10.1186/s12879-023-08769-w
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