Analysis of Epidemiological and Evolutionary Characteristics of Seasonal Influenza Viruses in Shenzhen City from 2018 to 2024

The SARS-CoV-2 pandemic and the implementation of associated non-pharmaceutical interventions (NPIs) profoundly altered the epidemiology of seasonal influenza viruses. To investigate these changes, we analyzed influenza-like illness samples in Shenzhen, China, across six influenza seasons spanning 2018 to 2024. Influenza activity declined markedly during the SARS-CoV-2 pandemic compared with the pre-pandemic period but returned to or even exceeded pre-pandemic levels in the post-pandemic era. Phylogenetic analysis of hemagglutinin (HA) and neuraminidase (NA) genes from 58 H1N1pdm09, 78 H3N2, and 97 B/Victoria isolates revealed substantial genetic divergence from the WHO-recommended vaccine strains. Notably, key mutations in the HA genes of H1N1pdm09, H3N2, and B/Victoria viruses were concentrated in the receptor-binding site (RBS) and adjacent antigenic sites. Hemagglutination inhibition (HI) assays demonstrated that most circulating viruses remained antigenically matched to their corresponding vaccine strains. However, significant antigenic drift was observed in H3N2 clade 3C.2a1b.1b viruses during the 2018-2019 season and in B/Victoria clade V1A.3a.2 viruses during the 2023-2024 season. These findings highlight the impact of NPIs and pandemic-related disruptions on influenza virus circulation and evolution, providing critical insights for future surveillance and public health preparedness.

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Publication Details

Journal
Viruses
Published
2025-05-30
DOI
https://doi.org/10.3390/v17060798
Citations
4
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
5.42

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article

Analysis of Epidemiological and Evolutionary Characteristics of Seasonal Influenza Viruses in Shenzhen City from 2018 to 2024

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4 citations
Viruses
Influenza Virus Research Studies
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article

Analysis of Epidemiological and Evolutionary Characteristics of Seasonal Influenza Viruses in Shenzhen City from 2018 to 2024

Hui Chen, Weihua Wu, Jialin Duan, Zhongnan Hu, Shengyu Huang, Manyu Huang, Shisong Fang, Weiyu Peng, Haihai Jiang, Hui Liu, Chao Li, Ying Sun, Xuan Zou, Xiao‐Ying Xu, Min Jiang, Shiyu Qi, Xin Wang
article en
4 citations

Abstract

The SARS-CoV-2 pandemic and the implementation of associated non-pharmaceutical interventions (NPIs) profoundly altered the epidemiology of seasonal influenza viruses. To investigate these changes, we analyzed influenza-like illness samples in Shenzhen, China, across six influenza seasons spanning 2018 to 2024. Influenza activity declined markedly during the SARS-CoV-2 pandemic compared with the pre-pandemic period but returned to or even exceeded pre-pandemic levels in the post-pandemic era. Phylogenetic analysis of hemagglutinin (HA) and neuraminidase (NA) genes from 58 H1N1pdm09, 78 H3N2, and 97 B/Victoria isolates revealed substantial genetic divergence from the WHO-recommended vaccine strains. Notably, key mutations in the HA genes of H1N1pdm09, H3N2, and B/Victoria viruses were concentrated in the receptor-binding site (RBS) and adjacent antigenic sites. Hemagglutination inhibition (HI) assays demonstrated that most circulating viruses remained antigenically matched to their corresponding vaccine strains. However, significant antigenic drift was observed in H3N2 clade 3C.2a1b.1b viruses during the 2018-2019 season and in B/Victoria clade V1A.3a.2 viruses during the 2023-2024 season. These findings highlight the impact of NPIs and pandemic-related disruptions on influenza virus circulation and evolution, providing critical insights for future surveillance and public health preparedness.

VirusesVol. 17(6)
Zhejiang Chinese Medical University (CN), Zhejiang Sci-Tech University (CN), Nanchang University (CN), Guangdong Pharmaceutical University (CN), Shenzhen Center for Disease Control and Prevention (CN), University of South China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province, Shenzhen Fundamental Research Program
Good health and well-being
Openalex Percentile: Top 4%
Influenza Virus Research Studies
5.42
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