Evidence map›Paper›PMID 41935252›Full record

ArticleBMC infectious diseases2026

Spatiotemporal dynamics and environmental factors of human brucellosis in mainland China, 2004-2022.

Hao Ju, Lijie Zhang, Rui Shen, Jie Qian, Nan Zhang, Zhongming Tan, Lei Xu, Liguo Zhu, Changjun Bao, Luzhao Feng

Abstract read
In one paragraph

Article 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.

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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

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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

10 authors.

Hao JuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, State Key Laboratory of Respiratory Health and Multimorbidity; Public Health Emergency Management Innovation Center, Beijing, 100730, China.
Lijie ZhangChinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, 100050, China.
Rui ShenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, State Key Laboratory of Respiratory Health and Multimorbidity; Public Health Emergency Management Innovation Center, Beijing, 100730, China.
Jie QianSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, State Key Laboratory of Respiratory Health and Multimorbidity; Public Health Emergency Management Innovation Center, Beijing, 100730, China.
Nan ZhangDepartment of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China.
Zhongming TanDepartment of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China.
Lei XuDepartment of Acute Infectious Diseases Control and Prevention, Huai'an Center for Disease Control and Prevention, Huai'an, Jiangsu, 223003, China.
Liguo ZhuDepartment of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China.
Changjun BaoDepartment of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China.
Luzhao FengSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, State Key Laboratory of Respiratory Health and Multimorbidity; Public Health Emergency Management Innovation Center, Beijing, 100730, China. fengluzhao@cams.cn.

Funding

the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2021-I2M-1-044the National Key R&D Program of China 2024YFC2311500
6 · The paper itself

Abstract

objectiveHuman brucellosis (HB) is one of the most widespread zoonoses globally. In mainland China, it remains a persistent challenge. This study aimed to elucidate the spatiotemporal dynamics of HB and identify its associated environmental factors from 2004 to 2022.

methodsJoinpoint regression was applied to assess temporal trends in HB incidence at national and provincial levels. Spatial autocorrelation analyses were conducted to detect spatial clusters and identify high-risk regions. Bayesian spatiotemporal models were used to examine the associations between environmental factors and HB incidence.

resultsFrom 2004 to 2022, the incidence of HB ranged from 0.88 to 4.95 cases per 100,000, with six northern provinces (Inner Mongolia, Shanxi, Heilongjiang, Xinjiang, Hebei, and Liaoning) consistently ranking among the top 10 nationwide. National joinpoint analysis indicated a significant overall increase (AAPC = 8.56%, 95% CI: 7.12–10.81, P < 0.001). Provincially, AAPCs were positive in all provinces except Tibet, with a significantly higher mean AAPC in southern provinces than in northern ones (33.33% vs. 16.83%; P = 0.012). In terms of spatial clustering, High-High clusters were concentrated in the north (e.g., Inner Mongolia, Heilongjiang, Jilin, Liaoning, Gansu), whereas Low-Low clusters persisted in the south (e.g., Guizhou, Hunan, Jiangxi, Zhejiang, Guangxi). HB incidence was positively associated with relative humidity, sheep inventory, milk production, and railway passenger turnover, and was negatively associated with average temperature, NDVI, and effective irrigation area.

conclusionGiven the spatial heterogeneity and the increasing burden of brucellosis across mainland China, targeted strategies are required to curb the persistently high incidence in the north and the rapidly rising incidence in the south. To this end, the environmental factors identified in this study provide importance evidence to guide targeted interventions.

Indexed as

BrucellosisAnimalsBayes TheoremChinaCluster AnalysisEnvironmentHumansIncidenceRisk FactorsSpatio-Temporal AnalysisZoonosesBayesian hierarchical modelsEpidemiological trendsHuman brucellosisInfluencing factorsSpatiotemporal distribution

Identifiers

PMID41935252
PMCPMC13182134

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LicenceCC BY-NC-ND
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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.