Open access
Jul 2026
MeteoGST: Meteorology-Driven Spatiotemporal Graph Learning for Epidemic Influenza Forecasting
MeteoGST is introduced, a meteorology-driven spatiotemporal graph learning framework that combines multi-scale feature extraction across seven operational meteorological variables and an anti-smoothing meta-learning adaptation for integrated meteorology-aware influenza surveillance.
Pengran Qi, Le-Ning Liang, Wenjing Li et al.
· Applied Sciences · 0 citations