An implementation of Metapopulation SIR model for forecasting epidemic transmission.
All required packages are list in environment.yml which is available from Anaconda. Install with:
conda env create -f environment.yml
Read the notebook in code/, which contains a sample for modelling epidemic transmission across multiple countries using metapopulation SIR model. Key points are commented in code. Other directories are functioning as
objs/contains dictionaries storing the transmission between different metapopulation. Provide samples of aviation transmisstion of 100 countries.data/contains the population and cumulative confirmed cases of COVID-19 of each metapopulation.
Related paper of this model.
@inproceedings{wang2018inferring,
title={Inferring metapopulation propagation network for intra-city epidemic control and prevention},
author={Wang, Jingyuan and Wang, Xiaojian and Wu, Junjie},
booktitle={Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
pages={830--838},
year={2018}
}