Integrating machine learning and data-driven modelling: predicting dengue outbreaks and revealing spatially heterogeneous climatic drivers in Brazil.
Dengue fever poses a major global health threat, with Brazil experiencing severe recurrent outbreaks driven by climatic, socio-economic and mobility factors. Accurate prediction remains challenging owing to dynamically shifting transmission patterns under intervention. This study employs a physics-informed neural netwo...