Literature DB >> 32410248

Epidemiology of Influenza in hospitalized children with respiratory tract infection in Suzhou area from 2016 to 2019.

Xingyu Rao1,2, Zhengrong Chen1, Heting Dong1, Canhong Zhu1, Yongdong Yan1.   

Abstract

Influenza is a contagious respiratory disease and risks public health in China, and it has caused wide public concern in recent years. Immunocompromised patients, such as children and elderly people, suffer more severe influenza complication and some extreme cases are even life-threaten 1 . To identify the influenza characteristics and its correlation with various climatic and environmental pollution factors, we collected the reported influenza epidemic of hospitalized children in Children's Hospital of Soochow University from 2016 to 2019. Our results show that the main influenza virus subtypes are A/H1N1, A/H3N2, B/BV and B/BY. We also identified the characteristics of the prevalent influenza virus subtypes in different months, seasons, years and patients' age. Of all the influenza infected patients, the most susceptible groups are Children>3-5 years old, and more cases reported in winter than other seasons. We also found that influenza is also highly correlated with climatic and environmental pollution factors, and the ARIMA model is employed for the short-term influenza prediction in Suzhou city, which can provide scientific basis for the prevention and control of influenza and public health decision-making. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  ARIMA model; Children; Epidemiology; Influenza virus; Respiratory tract infection

Year:  2020        PMID: 32410248     DOI: 10.1002/jmv.26015

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   2.327


  1 in total

1.  Spatio-Temporal Analysis of Influenza-Like Illness and Prediction of Incidence in High-Risk Regions in the United States from 2011 to 2020.

Authors:  Zhijuan Song; Xiaocan Jia; Junzhe Bao; Yongli Yang; Huili Zhu; Xuezhong Shi
Journal:  Int J Environ Res Public Health       Date:  2021-07-02       Impact factor: 3.390

  1 in total

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