NDLI: Molecular epidemiological analysis of Influenza viruses in Influenza-like illness cases: a retrospective study in Chongqing Hi-Tech Zone, China (2021

Content Provider	Springer Nature : BioMed Central
Author	Cai, Wei Deng, Yuhang Xu, Pan Xue, Jianjiang
Abstract	Objectives To analyze the molecular epidemiological characteristics of influenza viruses in influenza-like cases in Chongqing Hi-Tech Zone, China, to provide data support and a scientific basis for optimizing influenza prevention and control strategies in the region. Materials and methods A retrospective analysis was conducted on the molecular epidemiological characteristics of influenza viruses in influenza-like cases at a hospital in Chongqing Hi-Tech Zone from 2021 to 2024. Colloidal gold detection of viral antibodies, fluorescent PCR detection of nucleic acids, and gene sequencing were used to identify the different subtypes. Results Among 39,986 ILI specimens tested using the immunocolloid gold method, 6,616 influenza viruses were detected, with a detection rate of 16.54%. Infections included 4,464 influenza A viruses (67.50%), 2,033 influenza B viruses (30.73%), and 119 co-infections of influenza A and B viruses (1.77%).In this region, H3N2 was the predominant subtype of influenza A, and Victoria was the main subtype of influenza B. Conclusion Influenza epidemics in the winter and spring seasons in Chongqing Hi-Tech Zone were predominantly caused by influenza A, with influenza B also circulating. Influenza A strains were mainly H3N2, while influenza B strains were primarily Victoria.
Related Links	https://virologyj.biomedcentral.com/counter/pdf/10.1186/s12985-024-02594-6.pdf
Ending Page	8
Page Count	8
Starting Page	1
File Format	HTM / HTML
DOI	10.1186/s12985-024-02594-6
Journal	Virology Journal
Issue Number	1
Volume Number	21
Language	English
Publisher	BioMed Central
Publisher Date	2024-12-31
Access Restriction	Open
Subject Keyword	Virology Molecular epidemiological analysis Influenza viruses Influenza-like illness cases Prevention and control
Content Type	Text
Resource Type	Article
Subject	Virology Infectious Diseases
Journal Impact Factor	4/2023
5-Year Journal Impact Factor	3.8/2023

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