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Spatiotemporal trends and ecological determinants of human brucellosis among 31 provinces in mainland China, 2004–2021

A Bayesian spatiotemporal modeling study

Bibliographic Data

ID15380712
AuthorsWeihao Li (0000-0002-9447-7023, Hainan Medical University, corresponding author), Weiwei Meng (0000-0002-1838-049X, Hainan Center for Disease Control & Prevention), Liying Wang (0000-0002-7081-8241, Hainan Medical University), H F Ouyang (0009-0003-6646-1168, Hainan Medical University), Hanqi Ouyang, Guojing Yang, Guo-Jing Yang (0000-0001-5102-7869, Hainan Medical University)
Year2025
Volume25
Issue1
Pages3998-3998
Publication date2025-11-17
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-025-25289-1
PMID41250017
OpenAlexW4416291999
LanguageEN
Citations received1
References cited40

At the provincial level, brucellosis risk patterns in China show shifts from traditional northern high-incidence provinces to central-southern provinces. Environmental, socioeconomic, and livestock factors significantly influence disease risk. Prevention strategies should implement region-specific approaches while strengthening multi-departmental coordination

Bayesian probability · Biostatistics · Brucellosis · China · Livestock · Mainland · Mainland China · Public health · Brucella: diagnosis, epidemiology, treatment · Burkholderia infections and melioidosis · Zoonotic diseases and public health · Epidemiology

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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