Performance of a hybrid ARIMA-LSTM-Transformer model in influenza-like illness forecasting: A comparative study
Accurate forecasting of influenza-like illness (ILI) incidence is essential for public health surveillance and early epidemic intervention. Traditional statistical models effectively capture linear temporal trends but often fail to model the complex nonlinear dynamics of disease transmission. To address this limitation...