Evidence map›Paper›PMID 40548408›Full record

ArticleEmerging microbes & infections2025

Incidence of human sapovirus outbreaks in Beijing, China, 2014-2021: predominance of genotypes GII.3 and GI.2.

Lingyu Shen, Fan Yu, Hanqiu Yan, Baiwei Liu, Weihong Li, Yu Wang, Yi Tian, Lei Jia, Peng Yang, Quanyi Wang and 2 more

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Lingyu ShenInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.
Fan YuUniversity of Queensland Centre for Clinical Research (UQCCR), Faculty of Health, Medicine, and Behavioural Sciences, The University of Queensland, Brisbane, Australia.
Hanqiu YanInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.
Baiwei LiuInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.
Weihong LiInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.
Yu WangInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.
Yi TianInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.
Lei JiaInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.
Peng YangInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.
Quanyi WangInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.
Daitao ZhangInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.
Zhiyong GaoInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to analyze epidemiological, clinical, and genome characteristics of acute gastroenteritis (AGE) outbreaks caused by sapovirus in Beijing. Epidemiological and clinical characteristics of sapovirus detected by RT-qPCR were collected from AGE surveillance. Descriptive statistics were used for epidemiological analysis, and both genotype identification and sequence analysis were conducted on the VP1 regions, RNA-dependent RNA polymerase regions, and whole genomes. From 2014 to 2021, sapovirus was the second most common pathogen in AGE outbreaks, causing 216 outbreaks (6.85%) with peaks in 2017, 2019, and 2021. The predominant outbreaks occurred in kindergartens (76.39%, 165) and primary schools (18.98%, 41) within urban (62.96%, 136) and suburban (35.19%, 76) by person-to-person transmission (97.73%, 172). Outbreaks in outer suburbs lasted longer duration [median 7 days, IQR: 6-8]. Comprehensive schools (21.62%, IQR: 10.00-35.00%) and kindergartens (18.18%, IQR: 13.51-22.72%) showed higher attack rates. Clinical symptoms included vomiting (97.27%, 1,462), diarrhea (18.44%, 277), fever (8.32%, 125), nausea (28.72%, 432), and abdominal pain (33.94%, 510). Vomiting prevalence was higher in children aged ≤5 years (96.94%, 983/1,014), while diarrhea prevalence was higher in those >5 years (31.29%, 153/489). Eight genotypes (GI.1-3, 5, 6; GII.1, 3, 5) were identified, and the predominant genotype changed from GII.3 (2016-2019) to GI.2 (2020-2021). Phylogenetic analysis revealed emerging clades in GII.3 and GI.2, with nucleotides and amino acids mutations confirmed by whole-genome sequencing. Therefore, sapovirus is a significant AGE pathogen in Beijing, China, warranting its inclusion in surveillance among sporadic cases and outbreaks of AGE in China with necessitating genotyping and whole-genome sequencing.

Indexed as

Caliciviridae InfectionsDisease OutbreaksGastroenteritisGenotypeSapovirusAdolescentAdultBeijingChildChild, PreschoolFemaleGenome, ViralHumansIncidenceInfantMaleAcute gastroenteritisepidemiologygenotypeoutbreakssapovirus

Identifiers

PMID40548408
PMCPMC12239119

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.