Evidence map›Paper›PMID 42093768›Full record

ArticleFrontiers in cellular and infection microbiology2026

Integrating epidemiology with genomic tracing to uncover concealed transmission networks in a brucellosis outbreak, Shandong, China.

Chanjuan Huangfu, Min Wang, Junjie Fan, Xiujun Ma, Haizong Zhang, Jing Yuan, Kuo Han, Ti Liu, ShuJun Ding, Zengqiang Kou and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

11 authors.

Chanjuan HuangfuSchool of Public Health and Health Management, Shandong First Medical University, Jinan, China.
Min WangClinical Laboratory, Children's Hospital Affiliated to Shandong University, Jinan Children's Hospital, Jinan, China.
Junjie FanDepartment of Infectious Disease Prevention and Control, Weifang Center for Disease Control and Prevention, Weifang, China.
Xiujun MaShandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, Prevention and Control for Infectious Diseases, Shandong Center for Disease Control and Prevention, Jinan, China.
Haizong ZhangDepartment of Infectious Disease Prevention and Control, Linqu County Center for Disease Control and Prevention, Weifang, China.
Jing YuanDepartment of Infectious Disease Prevention and Control, Linqu County Center for Disease Control and Prevention, Weifang, China.
Kuo HanShandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, Prevention and Control for Infectious Diseases, Shandong Center for Disease Control and Prevention, Jinan, China.
Ti LiuShandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, Prevention and Control for Infectious Diseases, Shandong Center for Disease Control and Prevention, Jinan, China.
ShuJun DingShandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, Prevention and Control for Infectious Diseases, Shandong Center for Disease Control and Prevention, Jinan, China.
Zengqiang KouShandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, Prevention and Control for Infectious Diseases, Shandong Center for Disease Control and Prevention, Jinan, China.
Yan LiShandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, Prevention and Control for Infectious Diseases, Shandong Center for Disease Control and Prevention, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study integrated epidemiological investigation with whole-genome sequencing to elucidate the transmission chain and pathogen characteristics of a 2023 brucellosis outbreak in Shandong Province, providing evidence for targeted prevention and control. Methods: Transmission chains were reconstructed through field epidemiological investigations, active case finding, and retrospective data review. Isolated strains were cultured and identified, followed by molecular tracing using multilocus variable-number tandem repeat analysis (MLVA) and core-genome single-nucleotide polymorphism (cgSNP) genotyping. Epidemiological and molecular data were integrated to assess transmission links. Results: A total of 26 related cases were identified in this outbreak. Epidemiological investigation revealed that the outbreak originated from a flock of infected lambs introduced by an index case in 2022, with subsequent spread through local livestock trading networks affecting multiple villages. Ten Conclusion: This outbreak was primarily driven by the trade of locally infected sheep, facilitating regional spread. High-resolution molecular typing effectively complemented traditional epidemiology by uncovering concealed transmission chains and revealing the co-circulation of multiple lineages. These findings underscore the value of integrated molecular surveillance systems in key endemic regions to support human brucellosis control.

Indexed as

BrucellaBrucella melitensisBrucellosisDisease OutbreaksAnimalsChinaGenome, BacterialGenotypeHumansMinisatellite RepeatsMolecular EpidemiologyMultilocus Sequence TypingPhylogenyPolymorphism, Single NucleotideRetrospective StudiesSheepBrucella melitensisbrucellosismolecular epidemiologymolecular typingoutbreakswhole-genome sequencing

Identifiers

PMID42093768
PMCPMC13138912

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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.