Inferring unobserved vector dynamics for dengue forecasting using physics-informed neural networks and mechanistic transmission models
Jiayue Cao, Zhiguo Cheng, Min Su, Cang Hui
This paper develops a Dengue-Informed Neural Network (DINN) that integrates physics-informed neural networks with mechanistic models to forecast dengue incidence by inferring mosquito infection dynamics from human case data.
bioRxiv · Feb 14, 2026 · PreprintEcology