An ensemble neural network approach to forecast Dengue outbreak based on climatic condition.
Chaos, Solitons and Fractals., 2023
Forecasting dengue outbreaks is critical for public health planning, yet existing models often struggle with nonlinear dynamics and external climatic influences. This work proposes XEWNet, an ensemble wavelet neural network that incorporates exogenous climate variables to improve forecasting accuracy and reliability. The model captures complex relationships while remaining interpretable and computationally efficient.
Overview of XEWNet model architecture.