Literature DB >> 30684745

Understanding the complex seasonality of seasonal influenza A and B virus transmission: Evidence from six years of surveillance data in Shanghai, China.

Chuchu Ye1, Weiping Zhu2, Jianxing Yu3, Zhongjie Li3, Yuzhou Zhang4, Yuanping Wang2, Huozheng Gu2, Wenwei Zou2, Lipeng Hao5, Wenbiao Hu6.   

Abstract

OBJECTIVES: Understanding the complexity of influenza subtype seasonality is critical to promoting a suitable vaccination program. The aim of this study was to identify and compare the seasonality and epidemiological features of seasonal influenza subtypes after the 2009 A/H1N1 pandemic and to lay a foundation for further investigation into the social and environmental factors affecting seasonal influenza virus transmission.
METHODS: Influenza-like illness (ILI) case surveillance was conducted in two sentinel hospitals in Pudong New Area, Shanghai between 2012 and 2018. Weekly data on ILI cases were analyzed. A time-series seasonal decomposition analysis was used to reveal the seasonality of influenza and epidemiological features among different subtypes.
RESULTS: In total, 10977 ILI patients were enrolled of whom 2385 (21.7%) had laboratory-confirmed influenza. Compared to influenza A (16.3%), influenza B (5.4%) was less frequently detected among the ILI patients (p<0.001). Semiannual epidemic peaks were identified in four of the years during the 6-year study period, while only one annual epidemic peak was found in the other two years. An epidemic peak occurred in each winter season, and a secondary peak also occasionally occurred in summer or spring. A/H3N2 predominated in both summer and winter, while A/H1N1, B/Yamagata, and B/Victoria circulated almost exclusively in winter or spring. Two lineages of influenza B seemed to predominate in alternating years.
CONCLUSIONS: This study highlights the complexity of seasonal influenza virus activity in a subtropical region of China, presenting both semiannual and annual epidemic peaks in different years. The results of this study may provide further insight into possible improvements in the timing of influenza vaccination in Shanghai, China.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Influenza; Seasonality; Surveillance; Transmission

Mesh:

Year:  2019        PMID: 30684745     DOI: 10.1016/j.ijid.2019.01.027

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


  6 in total

1.  Pathogenicity and transmissibility assessment of two strains of human influenza virus isolated in China in 2018.

Authors:  Cheng Zhang; Huan Cui; Zhongyi Wang; Shishan Dong; Chunmao Zhang; Jiaming Li; Keyin Meng; Yucheng Sun; Juxiang Liu; Zhendong Guo; Ligong Chen
Journal:  J Int Med Res       Date:  2021-01       Impact factor: 1.671

2.  Regional-based within-year seasonal variations in influenza-related health outcomes across mainland China: a systematic review and spatio-temporal analysis.

Authors:  W John Edmunds; Marc Baguelin; Charlie Diamond; Hui Gong; Fiona Yueqian Sun; Yang Liu; Billy J Quilty; Mark Jit; Juan Yang; Hongjie Yu
Journal:  BMC Med       Date:  2022-02-10       Impact factor: 8.775

Review 3.  Chinese expert consensus on immunoprophylaxis of common respiratory pathogens in children (2021 edition).

Authors:  Zifeng Yang; Tiejian Feng; Wenda Guan; Jianfeng He; Rongmeng Jiang; Gang Liu; Gen Lu; Quan Lu; Adong Shen; Lihong Sun; Xiaodong Sun; Yonghong Yang; Mei Zeng; Jiushun Zhou; Kunling Shen; Nanshan Zhong
Journal:  J Thorac Dis       Date:  2022-03       Impact factor: 2.895

4.  The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China.

Authors:  Yuzhou Zhang; Chuchu Ye; Jianxing Yu; Weiping Zhu; Yuanping Wang; Zhongjie Li; Zhiwei Xu; Jian Cheng; Ning Wang; Lipeng Hao; Wenbiao Hu
Journal:  Sci Total Environ       Date:  2019-10-28       Impact factor: 7.963

5.  Predicting Seasonal Influenza Based on SARIMA Model, in Mainland China from 2005 to 2018.

Authors:  Jing Cong; Mengmeng Ren; Shuyang Xie; Pingyu Wang
Journal:  Int J Environ Res Public Health       Date:  2019-11-27       Impact factor: 3.390

6.  Influenza A and B outbreaks differed in their associations with climate conditions in Shenzhen, China.

Authors:  Pan Ma; Xiaoxin Tang; Li Zhang; Xinzi Wang; Weimin Wang; Xiaoling Zhang; Shigong Wang; Ning Zhou
Journal:  Int J Biometeorol       Date:  2021-10-25       Impact factor: 3.738

  6 in total

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