Evidence map›Paper›PMID 41039622›Full record

ArticleGut pathogens2025

Increased GII.3[P12] norovirus outbreaks and viral whole genome analysis in Beijing, China during 2021 and 2023.

Jiamei Fu, Lingyu Shen, Weihong Li, Yi Tian, Baiwei Liu, Yu Wang, Lei Jia, Zhaomin Feng, Daitao Zhang, Peng Yang and 2 more

Abstract read
In one paragraph

Article in Gut pathogens, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Global trends in norovirus genotype distribution among medically attended children with acute gastroenteritis, 2020-2025.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2026
    Article
  3. Article
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

12 authors.

Jiamei FuSchool of Public Health, Capital Medical University, Beijing, 100069, China.
Lingyu ShenBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Center for Disease Prevention and Control, No. 16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Weihong LiBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Center for Disease Prevention and Control, No. 16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Yi TianGeneral Administration of Customs (Beijing) International Travel Health Care Center, Beijing, 100013, China.
Baiwei LiuBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Center for Disease Prevention and Control, No. 16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Yu WangBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Center for Disease Prevention and Control, No. 16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Lei JiaBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Center for Disease Prevention and Control, No. 16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Zhaomin FengBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Center for Disease Prevention and Control, No. 16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Daitao ZhangBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Center for Disease Prevention and Control, No. 16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Peng YangBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Center for Disease Prevention and Control, No. 16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Zhiyong GaoSchool of Public Health, Capital Medical University, Beijing, 100069, China. zhiyonggao1@163.com.
Quanyi WangSchool of Public Health, Capital Medical University, Beijing, 100069, China. bjcdcxm@126.com.

Funding

Beijing Science and Technology Planning Project of the Beijing Science and Technology Commission Z241100009024047High-Level Public Health Technical Talent Training Plan lingjunrencai-01-02, Academic Leader 02-07
6 · The paper itself

Abstract

backgroundNorovirus is the predominant pathogen responsible for global acute gastroenteritis outbreaks and sporadic cases. While GII.3[P12] norovirus is typically associated with sporadic cases of acute gastroenteritis, outbreaks caused by this genotype increased sharply in Beijing from 2021 to 2023. This study aimed to characterize the GII.3[P12] norovirus outbreaks in Beijing from August 2021 to July 2023, analyze whole-genome sequences, and infer spread dynamics.

resultsGII.3[P12] outbreaks primarily occurred in winter and spring (90.68%, 107/118), concentrated in urban areas (56.78%, 67/118). Ninety-three outbreaks (78.81%, 93/118) were reported in kindergartens. Person-to-person transmission was the main route, accounting for 99.14% (115/116) of outbreaks with a defined route. The maximum clade credibility tree, constructed from partial viral capsid protein 1 and RNA-dependent RNA polymerase genes, showed that GII.3[P12] strains are clustered into three clades, aligning with analyses of 82 whole-genome sequences. Bayesian inference revealed that the most recent ancestor for the three clades of the maximum clade credibility tree based on whole-genome sequences was 2015.66, 2016.56, and 2017.71, respectively, and urban areas are key transmission hubs. The histo-blood group antigens binding sites were conserved, and there were some unique amino acid mutations in the open reading frame 1 region: clade 1 (V779I/D870G/K1004R/I1057V/I1521V), clade 2 (A21V/S195L/R278K/V779I/A782V/A791V/I850T/P1051S/V1091A/S1571T), and clade 3 (T701I).

conclusionsOur study identified GII.3[P12] as the dominant strain in norovirus outbreaks in Beijing, China (2021-2023). We obtained 82 whole-genome sequences via next-generation sequencing, revealing amino acid mutation-driven evolution, inferring local transmission dynamics, and providing insights for outbreak control and vaccine development.

Indexed as

EpidemiologyGII.3[P12]NorovirusOutbreakPhylogenetic analysis

Identifiers

PMID41039622
PMCPMC12490128

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.