Open access
Jul 2026
Multi-Regional Infectious Disease Transmission Forecasting Based on Graph-Structure-Enhanced Large Language Model
EpiSTLLM injects regional adjacency information into Transformer-based representation learning to capture cross-regional transmission structure and long-term temporal dependencies, and achieves the best or highly competitive performance in most evaluation settings against statistical, deep learning, graph-based, and mechanism-guided baselines across 4, 8, and 12-week horizons.
Siru Chen, Xuhao Guo, Zige Liu et al.
· Mathematics · 0 citations