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What is Long-Term Pandemic Spread Prediction Model about?

This document presents a novel approach for long-term pandemic trend prediction by integrating compartmental models and deep learning techniques, specifically a bi-directional gated recurrent unit network. The proposed model utilizes data augmentation, breakpoint detection for stage segmentation, and a self-attention mechanism to enhance prediction accuracy, particularly for COVID-19 cases across four countries. Experimental results demonstrate that this model significantly outperforms existing methods, ach

Author

yvaviya

Language

EN