epydemic: Epidemic simulations on networks in Python. epydemic is a Python library that implements simulations of epidemic (and other) processes over networks. Epidemic processes are very important in both network science and its applications. The most common application is to study the ways in which diseases progress in different network conditions, depending on their infectiousness and other properties. epydemic provides simulation under synchronous and stochastic (Gillespie) dynamics, using the well-known networkx package to represent and manipulate networks. It supports a generic model for compartmented models of disease with several standard models provided and which can be extended to other, more complex, diseases. It also supports other network processes such as addition-deletion networks. epydemic is built on top of the epyc experiment management library, allowing simulations to be conducted at scale on individual machines, multicore machines, and parallel computing clusters.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Benjamin F. Maier: epipack: An infectious disease modeling package for Python (2021) not zbMATH
- Joel C. Miller, Tony TIng: EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks (2020) arXiv
Further publications can be found at: https://pyepydemic.readthedocs.io/en/latest/bibliography.html