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Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China

BACKGROUND: Influenza is a common illness for its high rates of morbidity and transmission. The implementation of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic to manage its dissemination could affect the transmission of influenza. METHODS: A retrospective analysis, between 20...

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Autores principales: Liu, Xiaofan, Peng, Ying, Chen, Zhe, Jiang, Fangfang, Ni, Fang, Tang, Zhiyong, Yang, Xun, Song, Cheng, Yuan, Mingli, Tao, Zhaowu, Xu, Junjie, Wang, Ying, Qian, Qiong, Ewing, Rob M., Yin, Ping, Hu, Yi, Wang, Weihua, Wang, Yihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523625/
https://www.ncbi.nlm.nih.gov/pubmed/37759271
http://dx.doi.org/10.1186/s12879-023-08594-1
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author Liu, Xiaofan
Peng, Ying
Chen, Zhe
Jiang, Fangfang
Ni, Fang
Tang, Zhiyong
Yang, Xun
Song, Cheng
Yuan, Mingli
Tao, Zhaowu
Xu, Junjie
Wang, Ying
Qian, Qiong
Ewing, Rob M.
Yin, Ping
Hu, Yi
Wang, Weihua
Wang, Yihua
author_facet Liu, Xiaofan
Peng, Ying
Chen, Zhe
Jiang, Fangfang
Ni, Fang
Tang, Zhiyong
Yang, Xun
Song, Cheng
Yuan, Mingli
Tao, Zhaowu
Xu, Junjie
Wang, Ying
Qian, Qiong
Ewing, Rob M.
Yin, Ping
Hu, Yi
Wang, Weihua
Wang, Yihua
author_sort Liu, Xiaofan
collection PubMed
description BACKGROUND: Influenza is a common illness for its high rates of morbidity and transmission. The implementation of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic to manage its dissemination could affect the transmission of influenza. METHODS: A retrospective analysis, between 2018 and 2023, was conducted to examine the incidence of influenza virus types A and B among patients in sentinel cities located in North or South China as well as in Wuhan City. For validations, data on the total count of influenza patients from 2018 to 2023 were collected at the Central Hospital of Wuhan, which is not included in the sentinel hospital network. Time series methods were utilized to examine seasonal patterns and to forecast future influenza trends. RESULTS: Northern and southern cities in China had earlier outbreaks during the NPIs period by about 8 weeks compared to the 2018–2019. The implementation of NPIs significantly reduced the influenza-like illness (ILI) rate and infection durations. Influenza B Victoria and H3N2 were the first circulating strains detected after the relaxation of NPIs, followed by H1N1 across mainland China. The SARIMA model predicted synchronized H1N1 outbreak cycles in North and South China, with H3N2 expected to occur in the summer in southern cities and in the winter in northern cities over the next 3 years. The ILI burden is expected to rise in both North and South China over the next 3 years, with higher ILI% levels in southern cities throughout the year, especially in winter, and in northern cities mainly during winter. In Wuhan City and the Central Hospital of Wuhan, influenza levels are projected to peak in the winter of 2024, with 2 smaller peaks expected during the summer of 2023. CONCLUSIONS: In this study, we report the impact of NPIs on future influenza trends in mainland China. We recommend that local governments encourage vaccination during the transition period between summer and winter to mitigate economic losses and mortality associated with influenza.
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spelling pubmed-105236252023-09-28 Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China Liu, Xiaofan Peng, Ying Chen, Zhe Jiang, Fangfang Ni, Fang Tang, Zhiyong Yang, Xun Song, Cheng Yuan, Mingli Tao, Zhaowu Xu, Junjie Wang, Ying Qian, Qiong Ewing, Rob M. Yin, Ping Hu, Yi Wang, Weihua Wang, Yihua BMC Infect Dis Research BACKGROUND: Influenza is a common illness for its high rates of morbidity and transmission. The implementation of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic to manage its dissemination could affect the transmission of influenza. METHODS: A retrospective analysis, between 2018 and 2023, was conducted to examine the incidence of influenza virus types A and B among patients in sentinel cities located in North or South China as well as in Wuhan City. For validations, data on the total count of influenza patients from 2018 to 2023 were collected at the Central Hospital of Wuhan, which is not included in the sentinel hospital network. Time series methods were utilized to examine seasonal patterns and to forecast future influenza trends. RESULTS: Northern and southern cities in China had earlier outbreaks during the NPIs period by about 8 weeks compared to the 2018–2019. The implementation of NPIs significantly reduced the influenza-like illness (ILI) rate and infection durations. Influenza B Victoria and H3N2 were the first circulating strains detected after the relaxation of NPIs, followed by H1N1 across mainland China. The SARIMA model predicted synchronized H1N1 outbreak cycles in North and South China, with H3N2 expected to occur in the summer in southern cities and in the winter in northern cities over the next 3 years. The ILI burden is expected to rise in both North and South China over the next 3 years, with higher ILI% levels in southern cities throughout the year, especially in winter, and in northern cities mainly during winter. In Wuhan City and the Central Hospital of Wuhan, influenza levels are projected to peak in the winter of 2024, with 2 smaller peaks expected during the summer of 2023. CONCLUSIONS: In this study, we report the impact of NPIs on future influenza trends in mainland China. We recommend that local governments encourage vaccination during the transition period between summer and winter to mitigate economic losses and mortality associated with influenza. BioMed Central 2023-09-27 /pmc/articles/PMC10523625/ /pubmed/37759271 http://dx.doi.org/10.1186/s12879-023-08594-1 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
Liu, Xiaofan
Peng, Ying
Chen, Zhe
Jiang, Fangfang
Ni, Fang
Tang, Zhiyong
Yang, Xun
Song, Cheng
Yuan, Mingli
Tao, Zhaowu
Xu, Junjie
Wang, Ying
Qian, Qiong
Ewing, Rob M.
Yin, Ping
Hu, Yi
Wang, Weihua
Wang, Yihua
Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China
title Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China
title_full Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China
title_fullStr Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China
title_full_unstemmed Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China
title_short Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China
title_sort impact of non-pharmaceutical interventions during covid-19 on future influenza trends in mainland china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523625/
https://www.ncbi.nlm.nih.gov/pubmed/37759271
http://dx.doi.org/10.1186/s12879-023-08594-1
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