Evidence map›Paper›PMID 42894128›Full record

Observational studyBMC infectious diseases2026

Multi-dimensional surveillance of hepatitis E: a 20-year observational analysis in Shanghai, China.

Kaiyun Chen, Wei Wang, Xin Shen, Di Xu, Yanting Lee, Zheng Teng, Jiming Zhang, Hong Ren, Yihan Lu

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2026. 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
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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

9 authors.

Kaiyun Chen *Department of Viral Hepatitis Control and Prevention, Institute of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 201107, China.
Wei Wang *Virus Testing Laboratory, Pathogen Detection Institute, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 201107, China.
Xin ShenDepartment of Viral Hepatitis Control and Prevention, Institute of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 201107, China.
Di XuDepartment of Viral Hepatitis Control and Prevention, Institute of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 201107, China.
Yanting LeeDepartment of Viral Hepatitis Control and Prevention, Institute of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 201107, China.
Zheng TengVirus Testing Laboratory, Pathogen Detection Institute, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 201107, China.
Jiming ZhangDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Hong Ren *Department of Viral Hepatitis Control and Prevention, Institute of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 201107, China. renhong@scdc.sh.cn.ORCID http://orcid.org/0000-0001-9657-8832
Yihan Lu *Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, 200032, China. luyihan@fudan.edu.cn.

Funding

the Chinese Foundations for Hepatitis E Control and Prevention CLH2023-F-HEV-15the Shanghai Sailing Program 23YF1436900the Shanghai Three-year Action Plan to Strengthen the Public Health System GWVI-9This study was funded by the National Natural Science Foundation of China 81973101
6 · The paper itself

Abstract

backgroundHepatitis E virus (HEV) remains a major public health concern in China, with a significant increase in notified incidence over the last two decades. We aimed to examine trends and potential contributing factors associated with hepatitis E incidence and infection in Shanghai, a highly developed metropolis.

methodsHepatitis E notified incidence data were retrieved from the National Notifiable Infectious Disease Reporting System (2004-2024). Six cross-sectional community-based serological surveys were conducted between 2001 and 2024, involving a total of 6,305 participants. Pathogen surveillance was annually conducted in confirmed cases, swine bile, and shellfish between 2018 and 2024. HEV was genotyped via amplification of a 150-nt fragment within ORF2 and phylogenetically analyzed.

resultsA total of 14,071 hepatitis E cases were notified in Shanghai during 2004-2024, with a Joinpoint detected in 2012 and an increasing trend thereafter (annual percentage change 5.03%, p = 0.044). In serological surveys, the age-standardized anti-HEV IgG positivity rate ranged between 18.56% and 34.43% among 6,305 participants. The exploratory ratio of notified clinical cases to estimated asymptomatic infections (clinical-to-asymptomatic ratio, C/A ratio) increased most markedly in the 1961-1970 birth cohort between 2010 and 2020. Moreover, 548 of 1,367 cases and 126 of 3,900 swine bile samples tested positive for HEV RNA; none of 724 shellfish samples were positive. HEV genotype 4 accounted for 97.35% of cases, and eight genotype 3 sequences were isolated.

conclusionsHEV infection remained common in both humans and swine in Shanghai. A comprehensive control strategy may be essential for achieving hepatitis E elimination, especially by identifying high-risk populations to reduce the burden of clinically apparent hepatitis E, in addition to routine HEV surveillance.

Indexed as

Hepatitis EHepatitis E virusAdolescentAdultAgedAnimalsChildChild, PreschoolChinaCross-Sectional StudiesEpidemiological MonitoringFemaleGenotypeHepatitis AntibodiesHumansIncidenceHepatitis AntibodiesRNA, ViralHepatitis EHepatitis E incidenceHepatitis E virusSerologic investigationSurveillance

Identifiers

PMID42894128
PMCPMC13678974

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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.