Evidence map›Paper›PMID 40573388›Full record

ArticleViruses2025

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

Weiyu Peng, Hui Liu, Xin Wang, Chao Li, Shunwu Huang, Shiyu Qi, Zhongnan Hu, Xiaoying Xu, Haihai Jiang, Jinyu Duan and 7 more

Abstract read
In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Weiyu PengShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.ORCID 0000-0001-7069-9556
Hui LiuShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Xin WangShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Chao LiShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Shunwu HuangShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Shiyu QiShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Zhongnan HuShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Xiaoying XuCollege of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310000, China.
Haihai JiangSchool of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang 330031, China.ORCID 0000-0002-1895-3040
Jinyu DuanShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Hui ChenShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Manyu HuangShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Ying SunShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Weihua WuShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Min JiangShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Xuan ZouShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.
Shisong FangShenzhen Center for Disease Control and Prevention, Shenzhen 518000, China.

Funding

Jiangxi Provincial Natural Science Foundation 20232BAB205025National Natural Science Foundation of China 32400772Shenzhen Basic Research Project JCYJ20240813160804007Shenzhen Science and Technology Plan Project fund KXXFZ20211020172545006
6 · The paper itself

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.

Indexed as

Evolution, MolecularInfluenza, HumanAntigenic Drift and ShiftChinaCOVID-19Hemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza B virusInfluenza VaccinesMutationNeuraminidasePandemicsPhylogenySARS-CoV-2Hemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesNeuraminidaseantigenic driftepidemiologyphylogenic analysisseasonal influenza virus

Identifiers

PMID40573388
PMCPMC12197669

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.