Spatiotemporal Early Warning of Human Brucellosis in Hubei Province Using Coupled Ecological-Time Series Models.

Q Chen; Buasiyamu Abudunaibi; X. Zhao; Jiangshaya Bahati; Yao Wang; Jia Rui; Xuhua Guan; Tianmu Chen

doi:10.1111/zph.70046

February 25, 2026

Spatiotemporal Early Warning of Human Brucellosis in Hubei Province Using Coupled Ecological-Time Series Models.

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Key Points

The aim is to assess and model brucellosis transmission to provide early warnings and prevention strategies.
Applied an integrated MaxEnt-SARIMA model
Analyzed the impact of livestock, climate, and control measures
Developed risk classification and warning schemes for various areas
Identified areas with varying levels of brucellosis risk
Established effective warning systems for targeted prevention
Results indicate significant relationships between climate variables and transmission patterns

Implication

Demonstrates improved risk classification for brucellosis in Hubei, suggesting enhanced prevention strategies across diverse areas.

Abstract

Brucellosis transmission in Hubei is influenced by the livestock industry, control measures and climate. The integrated MaxEnt-SARIMA model provides risk classification and differentiated warning schemes, offering guidance for targeted prevention across different risk areas.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69a3d8b8ec16d51705d2fc64 https://doi.org/10.1111/zph.70046

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Spatiotemporal Early Warning of Human Brucellosis in Hubei Province Using Coupled Ecological-Time Series Models.

Key Points

Implication

Abstract

Discussion

Cite This Study

Spatiotemporal Early Warning of Human Brucellosis in Hubei Province Using Coupled Ecological-Time Series Models.

Key Points

Implication

Abstract

Discussion

Cite This Study

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