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a Python package for node immunization and network contagion simulation

Project description

DOI PyPI version Documentation Status Build Status MIT license

contagion

contagion is a Python package supporting node immunization and network contagion simulation

contagion is designed to be easy-to-use and full-featured, supporting computer scientists, public health researchers, network theorists, and more. Here are a few things we love about contagion:

  • accessible interface for incorporating node immunization into contagion simulations
  • supports immunization with delayed effect and variable immunity durations
  • handles partial immunity and time-varying transmission rates
  • can track symptom onset
  • implements node testing policies (random, contact tracing)

Table of Contents

Getting Started

Install contagion with pip:

pip install contagion

Once contagion is installed, import NetworkX and contagion:

import networkx
from contagion import contagion

Documentation

Official documentation - including a tutorial, API reference, and a few worked examples - is available on Read the Docs.

Citing contagion

If you find contagion useful in your work, please use the Zenodo software citation.

Requirements

This project was created with:

  • matplotlib==3.3.3
  • numpy==1.19.3
  • networkx==2.5
  • scipy>=1.5.0
  • seaborn==0.11.1

Contributing to contagion

We'd love your help! If you'd like to make an addition or improvement, please submit a pull request consisting of an atomic commit and a brief message describing your contribution. If you find something wrong, please submit a bug report to the issue tracker. For other questions or comments, feel free to contact me directly.

Thanks for helping make contagion better!

Contact

License

MIT

Project details


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