Dynamic Prediction of Vaccination Rates and Regional Differences Based on LSTM Time Series Model
This study proposes an LSTM-based forecasting framework integrating spatiotemporal graph convolution, dynamic spatial attention, and spatial regularization mechanisms that provides a generalized methodology for spatiotemporal signal evolution analysis, network-aware prediction, and adaptive information propagation in c...