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Yong Ge

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Conference Jul 2026

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...

Jing-Long Chen, Li-Min Xu, Q. Yuan et al. · 0 citations

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