When Regions Collide: Code for Modeling Cross-Regional Epidemic Spillover

This repository contains the source code, data, and instructions for replicating the results of our manuscript "When Regions Collide: Decoding Cross-Regional Spillover Effects by Integrating Machine Learning with Epidemiological Modeling". The TDINN framework integrates deep neural networks with mechanistic epidemic models to infer time-varying parameters such as contact rates and bidirectional spillover rates across regions.