Seasonal association between viral causes of hospitalised acute lower respiratory infections and meteorological factors in China: a retrospective study
Seasonal association between viral causes of hospitalised acute lower respiratory infections and meteorological factors in China: a retrospective study
Background: Acute lower respiratory infections (ALRIs) caused by respiratory viruses are common and persistent infectious diseases worldwide and in China, which have pronounced seasonal patterns. Meteorological factors have important roles in the seasonality of some major viruses, especially respiratory syncytial virus (RSV) and influenza virus. Our aim was to identify the dominant meteorological factors and to model their effects on common respiratory viruses in different regions of China. Methods: We analysed monthly virus data on patients hospitalised with ALRI from 81 sentinel hospitals in 22 provinces in mainland China from Jan 1, 2009, to Sept 30, 2013. We considered seven common respiratory viruses: RSV, influenza virus, human parainfluenza virus, adenovirus, human metapneumovirus, human bocavirus, and human coronavirus. Meteorological data of the same period were used to analyse relationships between virus seasonality and seven meteorological factors according to region (southern vs northern China). The geographical detector method was used to quantify the explanatory power of each meteorological factor, individually and interacting in pairs, on the respiratory viruses. Findings: 28 369 hospitalised patients with ALRI were tested, 10 387 (36·6%) of whom were positive for at least one virus, including RSV (4091 [32·0%] patients), influenza virus (2665 [20·8%]), human parainfluenza virus (2185 [17·1%]), adenovirus (1478 [11·6%]), human bocavirus (1120 [8·8%]), human coronavirus (637 [5·0%]), and human metapneumovirus (615 [4·8%]). RSV and influenza virus had annual peaks in the north and biannual peaks in the south. Human parainfluenza virus and human bocavirus had higher positive rates in the spring–summer months. Human metapneumovirus had an annual peak in winter–spring, especially in the north. Adenovirus and human coronavirus exhibited no clear annual seasonality. Temperature, atmospheric pressure, vapour pressure, and rainfall had most explanatory power on most respiratory viruses in each region. Relative humidity was only dominant in the north, but had no significant explanatory power for most viruses in the south. Hours of sunlight had significant explanatory power for RSV and influenza virus in the north, and for most viruses in the south. Wind speed was the only factor with significant explanatory power for human coronavirus in the south. For all viruses, interactions between any two of the paired factors resulted in enhanced explanatory power, either bivariately or non-linearly. Interpretation: Spatiotemporal heterogeneity was detected for most viruses in this study, and interactions between pairs of meteorological factors were found to enhance their influence on virus variation. These findings might be helpful to guide government planning, such as public health interventions, infection control practice, and timing of passive immunoprophylaxis, and might facilitate the development of future vaccine strategies. Funding: National Natural Science Foundation of China, the Ministry of Science and Technology of China, and the Technology Major Project of China. Translation: For the Chinese translation of the abstract see Supplementary Materials section.
e154-e163
Xu, Bing
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Wang, Jinfeng
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Li, Zhongjie
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Xu, Chengdong
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Liao, Yilan
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Hu, Maogui
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Yang, Jing
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Lai, Shengjie
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Wang, Liping
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Yang, Weizhong
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10 March 2021
Xu, Bing
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Wang, Jinfeng
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Li, Zhongjie
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Xu, Chengdong
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Liao, Yilan
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Hu, Maogui
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Yang, Jing
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Lai, Shengjie
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Wang, Liping
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Yang, Weizhong
65d18fbc-d752-42a7-ac38-01534ceda15c
Xu, Bing, Wang, Jinfeng, Li, Zhongjie, Xu, Chengdong, Liao, Yilan, Hu, Maogui, Yang, Jing, Lai, Shengjie, Wang, Liping and Yang, Weizhong
(2021)
Seasonal association between viral causes of hospitalised acute lower respiratory infections and meteorological factors in China: a retrospective study.
The Lancet Planetary Health, 5 (3), .
(doi:10.1016/S2542-5196(20)30297-7).
Abstract
Background: Acute lower respiratory infections (ALRIs) caused by respiratory viruses are common and persistent infectious diseases worldwide and in China, which have pronounced seasonal patterns. Meteorological factors have important roles in the seasonality of some major viruses, especially respiratory syncytial virus (RSV) and influenza virus. Our aim was to identify the dominant meteorological factors and to model their effects on common respiratory viruses in different regions of China. Methods: We analysed monthly virus data on patients hospitalised with ALRI from 81 sentinel hospitals in 22 provinces in mainland China from Jan 1, 2009, to Sept 30, 2013. We considered seven common respiratory viruses: RSV, influenza virus, human parainfluenza virus, adenovirus, human metapneumovirus, human bocavirus, and human coronavirus. Meteorological data of the same period were used to analyse relationships between virus seasonality and seven meteorological factors according to region (southern vs northern China). The geographical detector method was used to quantify the explanatory power of each meteorological factor, individually and interacting in pairs, on the respiratory viruses. Findings: 28 369 hospitalised patients with ALRI were tested, 10 387 (36·6%) of whom were positive for at least one virus, including RSV (4091 [32·0%] patients), influenza virus (2665 [20·8%]), human parainfluenza virus (2185 [17·1%]), adenovirus (1478 [11·6%]), human bocavirus (1120 [8·8%]), human coronavirus (637 [5·0%]), and human metapneumovirus (615 [4·8%]). RSV and influenza virus had annual peaks in the north and biannual peaks in the south. Human parainfluenza virus and human bocavirus had higher positive rates in the spring–summer months. Human metapneumovirus had an annual peak in winter–spring, especially in the north. Adenovirus and human coronavirus exhibited no clear annual seasonality. Temperature, atmospheric pressure, vapour pressure, and rainfall had most explanatory power on most respiratory viruses in each region. Relative humidity was only dominant in the north, but had no significant explanatory power for most viruses in the south. Hours of sunlight had significant explanatory power for RSV and influenza virus in the north, and for most viruses in the south. Wind speed was the only factor with significant explanatory power for human coronavirus in the south. For all viruses, interactions between any two of the paired factors resulted in enhanced explanatory power, either bivariately or non-linearly. Interpretation: Spatiotemporal heterogeneity was detected for most viruses in this study, and interactions between pairs of meteorological factors were found to enhance their influence on virus variation. These findings might be helpful to guide government planning, such as public health interventions, infection control practice, and timing of passive immunoprophylaxis, and might facilitate the development of future vaccine strategies. Funding: National Natural Science Foundation of China, the Ministry of Science and Technology of China, and the Technology Major Project of China. Translation: For the Chinese translation of the abstract see Supplementary Materials section.
Text
Seasonal association between viral causes
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Accepted/In Press date: 26 November 2020
e-pub ahead of print date: 10 March 2021
Published date: 10 March 2021
Additional Information:
Funding Information:
This study was funded by the National Natural Science Foundation of China (grants 41531179, 42071375, and 41421001), the Ministry of Science and Technology of China (grant 2016YFC1302504), and the Technology Major Project of China (grants 2018ZX10713001-001, 2018ZX10713001-011). SL acknowledge supports from the National Natural Science Fund (81773498), the National Science and Technology Major Project of China (2016ZX10004222-009), and the Program of Shanghai Academic/Technology Research Leader (18XD1400300).
Publisher Copyright:
© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license
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Local EPrints ID: 447749
URI: http://eprints.soton.ac.uk/id/eprint/447749
ISSN: 2542-5196
PURE UUID: 3b3ee88a-73bd-43d9-a066-b2a5f7c64687
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Date deposited: 19 Mar 2021 17:31
Last modified: 17 Mar 2024 03:52
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Author:
Bing Xu
Author:
Jinfeng Wang
Author:
Zhongjie Li
Author:
Chengdong Xu
Author:
Yilan Liao
Author:
Maogui Hu
Author:
Jing Yang
Author:
Liping Wang
Author:
Weizhong Yang
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