Evidence map›Paper›PMID 42904054›Full record

ArticlehLife2025

H3N2 influenza virus characteristics in China (2019-2022): Genetic, antigenic, and infection dynamics during the COVID-19 pandemic.

Jiaming Li, Yu Huan, Qianfeng Xia, Yan Li, Rahat Ullah Khan, Qingzhi Liu, Chuanran Dou, Marina Gulyaeva, Alexander Shestopalov, Ning Zhang and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in hLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Jiaming LiCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Beijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, China.
Yu HuanCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Beijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, China.
Qianfeng XiaKey Laboratory of Tropical Translational Medicine of Ministry of Education, NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Hainan, China.
Yan LiCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Beijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, China.
Rahat Ullah KhanCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Beijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, China.
Qingzhi LiuDepartment of Biostatistics, University of Michigan-Ann Arbor, Michigan, USA.
Chuanran DouLafayette College, Pennsylvania, USA.
Marina GulyaevaFederal Research Center of Fundamental and Translational Medicine, Federal State Budget Scientific Institution, Siberian Branch of Russian Academy of Sciences, Novosibirsk State University, Novosibirskaya Oblast, Russia.
Alexander ShestopalovFederal Research Center of Fundamental and Translational Medicine, Federal State Budget Scientific Institution, Siberian Branch of Russian Academy of Sciences, Novosibirsk State University, Novosibirskaya Oblast, Russia.
Ning ZhangCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Beijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, China.
Xuefeng DuanCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Beijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, China.
Jing YangCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Beijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, China.
Hongchun ZhangCenter of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine, Beijing, China.
Yuhai BiCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Beijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonal influenza activity significantly decreased in China during the coronavirus disease 2019 (COVID-19) pandemic, yet the H3N2 virus led to three epidemic waves. Understanding the characteristics of H3N2 epidemic viruses is essential for recognizing influenza during COVID-19 and for updating vaccines. In this study, we analyzed 579 respiratory samples from patients exhibiting influenza-like symptoms, collected in 2019-2022, leading to the successful sequencing of 36 complete H3N2 genomes. Genomic analysis indicated that the epidemic strains from these periods belonged to different hemagglutinin (

Indexed as

antigenicitygenetic evolutionH3N2infectioninfluenza A virusphylogeny

Identifiers

PMID42904054
PMCPMC13681702

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.