生产运营/行业运营>> SanJose>> 返回
项目作者： yoavram

项目描述 ：
Adaptive social contact rates induce complex dynamics during epidemics
高级语言： Jupyter Notebook
项目地址: git://github.com/yoavram/SanJose.git
创建时间： 2020-04-21T12:07:38Z
项目社区：https://github.com/yoavram/SanJose
开源协议：
下载


Source code for analysis and figure reproduction for
Ronan F. Arthur, James H. Jones, Matthew H. Bonds, Yoav Ram, Marcus W. Feldman (2021) Adaptive social contact rates induce complex dynamics during epidemics PLOS Computational Biology, DOI:10.1371/journal.pcbi.1008639

Preprint available on bioRxiv.

This repository includes Python source code and Jupyter notebooks that reproduce the numerical results presented in Figs. 1-4 and supplementray figures.

  • SIS model: source code for reproduction of SIS model results.
  • SIR model: source code for reproduction of SIR model results.

The source code uses Zulko/ddeint to solve delayed differential equations.

License

The source code is released under a CC-BY-SA license.