# EpiRank — Epidemic Risk Analysis via Asymmetric Commuting Networks

> EpiRank is a desktop application implementing the EpiRank algorithm for epidemic risk analysis across Taiwan's 353 townships based on asymmetric commuting networks. It computes risk scores using a modified PageRank algorithm on commuting flow data.

## Authors

- Name: Chung-Yuan Huang (黃崇源) (corresponding author)
- Title: Full Professor, Department of CSIE, Chang Gung University
- Email: gscott@mail.cgu.edu.tw
- ORCID: https://orcid.org/0000-0002-8680-6755
- Google Scholar: https://scholar.google.com/citations?user=0klfzfAAAAAJ&hl=en
- Homepage: https://canslab1.github.io/

- Name: Wei-Chien-Benny Chin
- Affiliation: Co-author of the EpiRank paper

- Name: Tzai-Hung Wen
- Affiliation: Co-author of the EpiRank paper

- Name: Yu-Hsiang Fu
- Affiliation: Co-author of the EpiRank paper

- Name: Yu-Shiuan Tsai
- Affiliation: Co-author of the EpiRank paper

## Software

- Name: EpiRank
- Language: Python
- License: MIT
- GitHub: https://github.com/canslab1/EpiRank
- README: https://canslab1.github.io/EpiRank/

## Publication

Huang, C.-Y., Chin, W. C. B., Wen, T.-H., Fu, Y.-H., & Tsai, Y.-S. (2019). EpiRank: Modeling Bidirectional Disease Spread in Asymmetric Commuting Networks. Scientific Reports, 9, 5415.
DOI: https://doi.org/10.1038/s41598-019-41719-8

## Lab

- CANS Lab (Complex Adaptive Networks and Systems Laboratory)
- Chang Gung University, Department of CSIE
- Website: https://canslab1.github.io/