Spatial characteristics and driving factors of human brucellosis and plague infections in the Meriones unguiculatus plague focus in China

The <i>Meriones unguiculatus</i> plague focus in China constitutes a key zoonotic-disease hotspot where brucellosis and plague co-circulate, posing a syndemic public-health challenge. An integrated spatial risk assessment framework was constructed to systematically contrast the spatial patterns and drivers of the two pathogens and to pinpoint potential interfaces for integrated surveillance. During 2022-2025, 17,289 blood samples were collected from 13,703 individuals. The overall seroprevalence was 19.50% for brucellosis and 0.47% for plague. Spatial analysis revealed pronounced spatial clustering of brucellosis (global Moran's <i>I</i> = 0.295, <i>P</i> < 0.05), while plague seropositivity was sporadic or locally clustered; areas of dual high-risk for both diseases were specifically identified. By integrating serological results with multi-dimensional data, a spatially enhanced random forest model (MSE = 0.005, RMSE = 0.068; AUC = 0.878) was constructed for risk assessment. Significant predictors for brucellosis included male gender, livestock-related occupation, higher vegetation index (NDVI), elevated PM<sub>10</sub> levels, sheep density, and proximity to dairy retail outlets. NDVI and livestock operation density emerged as key indicators for joint surveillance. These findings suggest that the interplay between agricultural intensification and climate variability appears to jointly facilitate transmission, underscoring the importance of adopting integrated surveillance strategies to control these zoonotic diseases.

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Publication Details

Journal
One Health
Published
2026-02-12
DOI
https://doi.org/10.1016/j.onehlt.2026.101355
Primary Topic
Brucella: diagnosis, epidemiology, treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Spatial characteristics and driving factors of human brucellosis and plague infections in the Meriones unguiculatus plague focus in China

Dongyue Lyu, Deming Tang, P Zhang, X. Wang et al.
One Health
Brucella: diagnosis, epidemiology, treatment
article

Spatial characteristics and driving factors of human brucellosis and plague infections in the Meriones unguiculatus plague focus in China

Dongyue Lyu, Deming Tang, P Zhang, X. Wang, Meng Xiao, Ran Duan, Shuai Qin, Z. Chai, Ziyi Bu, Jindong Zuo, Linxuan Yang, Zhaokai He, Hanyu Sha, Lingjie Bai, Liping Wang, Huaiqi Jing
article en

Abstract

The <i>Meriones unguiculatus</i> plague focus in China constitutes a key zoonotic-disease hotspot where brucellosis and plague co-circulate, posing a syndemic public-health challenge. An integrated spatial risk assessment framework was constructed to systematically contrast the spatial patterns and drivers of the two pathogens and to pinpoint potential interfaces for integrated surveillance. During 2022-2025, 17,289 blood samples were collected from 13,703 individuals. The overall seroprevalence was 19.50% for brucellosis and 0.47% for plague. Spatial analysis revealed pronounced spatial clustering of brucellosis (global Moran's <i>I</i> = 0.295, <i>P</i> < 0.05), while plague seropositivity was sporadic or locally clustered; areas of dual high-risk for both diseases were specifically identified. By integrating serological results with multi-dimensional data, a spatially enhanced random forest model (MSE = 0.005, RMSE = 0.068; AUC = 0.878) was constructed for risk assessment. Significant predictors for brucellosis included male gender, livestock-related occupation, higher vegetation index (NDVI), elevated PM<sub>10</sub> levels, sheep density, and proximity to dairy retail outlets. NDVI and livestock operation density emerged as key indicators for joint surveillance. These findings suggest that the interplay between agricultural intensification and climate variability appears to jointly facilitate transmission, underscoring the importance of adopting integrated surveillance strategies to control these zoonotic diseases.

One HealthVol. 22
Anhui Medical University (CN), Hangzhou Center for Disease Control and Prevention (CN), Inner Mongolia People's Hospital (CN), Zhejiang Center for Disease Control and Prevention (CN), National Institute for Communicable Disease Control and Prevention (CN), Beijing Center for Disease Prevention and Control (CN), The Fourth People's Hospital of Ningxia Hui Autonomous Region (CN)
Climate action
Openalex Percentile: Top 57%
Brucella: diagnosis, epidemiology, treatment
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