Evidence map›Paper›PMID 42891138›Full record

ArticleChina CDC weekly2026

Genomic Epidemiology and Antimicrobial Susceptibility of Human Brucellosis - Shenzhen City, Guangdong Province, China, 2005-2024.

Li Yuan, Cong Niu, Shiting Chen, Qiongcheng Chen, Shuang Wu, Wenkai Cui, Jianguang Cai, Xiaolu Shi

Abstract read
In one paragraph

Article in China CDC weekly, 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
–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

8 authors.

Li Yuan *School of Public Health, University of South China, Hengyang City, Hunan Province, China.
Cong Niu *Shenzhen Center for Disease Control and Prevention, Shenzhen City, Guangdong Province, China.
Shiting Chen *School of Public Health, Shanxi Medical University, Taiyuan City, Shanxi Province, China.
Qiongcheng ChenShenzhen Center for Disease Control and Prevention, Shenzhen City, Guangdong Province, China.
Shuang WuShenzhen Center for Disease Control and Prevention, Shenzhen City, Guangdong Province, China.
Wenkai CuiSchool of Public Health, University of South China, Hengyang City, Hunan Province, China.
Jianguang CaiSchool of Public Health, Southern Medical University, Guangzhou City, Guangdong Province, China.
Xiaolu ShiShenzhen Center for Disease Control and Prevention, Shenzhen City, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Brucellosis is a zoonotic disease historically concentrated in pastoral regions of China; however, an increasing number of cases have been reported in large urban centers in recent years. What is added by this report?: Analysis of 191 human-derived Brucella isolates collected in Shenzhen between 2005 and 2024 showed that Brucella melitensis predominated and that Shenzhen isolates were interspersed with strains from multiple provinces, suggesting repeated introductions from other regions. Most cases occurred in working-age adults, and both imported cases and Shenzhen-resident cases without documented external exposure were identified. What are the implications for public health practice?: These findings suggest that brucellosis control in highly urbanized settings should prioritize surveillance for imported infections, improved traceability and regulation of animal-derived food products, targeted protection of high-risk occupational groups, and continued genomic and antimicrobial susceptibility surveillance.

Indexed as

antimicrobial susceptibilityBrucella melitensisBrucellosisgenomic epidemiology

Identifiers

PMID42891138
PMCPMC13673392

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.