STG-Mixer: A Multi-Region, Multi-Step Forecasting Network for Hand, Foot, and Mouth Disease with Multi-Timescale Feature Extraction and Spatial Association Learning
Accurate forecasting of hand, foot, and mouth disease (HFMD) incidence is crucial for effective prevention and control. However, existing multi-region HFMD forecasting models remain limited in jointly capturing multi-timescale temporal patterns and interregional spatial associations, which affects multi-step forecasting performance.