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

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