ArticleBMC infectious diseases2024
Spatiotemporal dynamics and influencing factors of human brucellosis in Mainland China from 2005-2021.
Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 17 citations in OpenAlex.
- Climatic Correlates of Brucellosis Transmission in a Semi-Arid Region of Xinjiang, China, 2015-2025: A Maximum Entropy Modeling Study Within a One Health Framework.Animals : an open access journal from MDPI · 2026Article
- Spatiotemporal Analysis of the Primary Factors and Risk Quantification of Human Brucellosis Prevention and Control in Zhejiang Province of China.Zoonoses and public health · 2026Article
- Spatiotemporal dynamics, clustering, and ARIMA-based short-term prediction of human brucellosis in Xinjiang, China.BMC infectious diseases · 2026Article
- Spatiotemporal dynamics and serosurveillance landscape of brucellosis at the human-animal interface in the Chinese Southwest: A retrospective study.PLoS neglected tropical diseases · 2026Article
- Epidemiological characteristics of brucellosis in non-occupational population in Zhejiang Province, China, 2018-2024: epidemic trend and infection analysis.One health outlook · 2026Article
- Rapid expansion of human brucellosis in Yunnan, China.BMC infectious diseases · 2026Article
- Spatiotemporal dynamics and environmental factors of human brucellosis in mainland China, 2004-2022.BMC infectious diseases · 2026Article
- A multi-source data-based modelling study on brucellosis transmission risk analysis and control strategies in Zhejiang Province, China.BMC infectious diseases · 2026Article
- Assessing the spatiotemporal dynamics and driving factors of human brucellosis in Northern Xinjiang, China (2015-2023).Tropical medicine and health · 2026Article
- Prevalence and detection ofFrontiers in cellular and infection microbiology · 2026Article
- Evaluation of non-vaccination brucellosis control strategies in class II regions using a transmission dynamics model: a case study from Hubei Province.BMC infectious diseases · 2025Article
- Spatiotemporal trends and ecological determinants of human brucellosis among 31 provinces in mainland China, 2004-2021: a Bayesian spatiotemporal modeling study.BMC public health · 2025Article
- The Effect of Climate Change on Emergence and Evolution of Zoonotic Diseases in Asia.Zoonoses and public health · 2025Review
- Epidemiological shifts in 23 acute infectious diseases in Southwest China (2005-2024): trends and implications for surveillance.BMC public health · 2025Article
- Epidemiological Characteristics and Trends of Zoonotic Diseases in China from 2015 to 2022.Tropical medicine and infectious disease · 2025Article
- The continuous expansion and spread of human brucellosis in the Xinjiang Uygur Autonomous Region: evidence from epidemiological and strains' genotyping-based analysis.BMC microbiology · 2025Article
- Changing trends in human brucellosis in pastoral and agricultural China, 2004-2019: a Joinpoint regression analysis.BMC infectious diseases · 2025Article
- Prediction and control for the transmission of brucellosis in inner Mongolia, China.Scientific reports · 2025Article
- Epidemiological characteristics and spatial clustering analysis of human brucellosis in Zibo City, Shandong Province, China, 2006-2024.Frontiers in public health · 2025Article
- Epidemiological characteristics and spatio-temporal clusters of human brucellosis in Inner Mongolia, 2010-2021.BMC infectious diseases · 2024Article
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8 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundBrucellosis poses a significant public health concern. This study explores the spatial and temporal dynamic evolution of human brucellosis in China and analyses the spatial heterogeneity of the influencing factors related to the incidence of human brucellosis at the provincial level.
methodsThe Join-point model, centre of gravity migration model and spatial autocorrelation analysis were employed to evaluate potential changes in the spatial and temporal distribution of human brucellosis in mainland China from 2005 to 2021. Ordinary Least Squares (OLS), Geographically Weighted Regression (GWR), and Multi-scale Geographically Weighted Regression (MGWR) models were constructed to analyze the spatial and temporal correlation between the incidence rate of human brucellosis and meteorological and social factors.
resultsFrom 2005 to 2021, human brucellosis in China showed a consistent upward trend. The incidence rate rose more rapidly in South, Central, and Southwest China, leading to a shift in the center of gravity from the North to the Southwest, as illustrated in the migration trajectory diagram. Strong spatial aggregation was observed. The MGWR model outperformed others. Spatio-temporal plots indicated that lower mean annual temperatures and increased beef, mutton, and milk production significantly correlated with higher brucellosis incidence. Cities like Guangxi and Guangdong were more affected by low temperatures, while Xinjiang and Tibet were influenced more by beef and milk production. Inner Mongolia and Heilongjiang were more affected by mutton production. Importantly, an increase in regional GDP and health expenditure exerted a notable protective effect against human brucellosis incidence.
conclusionsHuman brucellosis remains a pervasive challenge. Meteorological and social factors significantly influence its incidence in a spatiotemporally specific manner. Tailored prevention strategies should be region-specific, providing valuable insights for effective brucellosis control measures.
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