Epidemics Python Packages

epydemix

epydemix, the ABC of epidemics

ndlib

Network Diffusion Library - (for NetworkX and iGraph)

metawards

MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling

graph-tiger

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

seirsplus

Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

covid-surge

COVID-19 mortality surge period calculation for communities afflicted by the corona virus SARS-CoV-2

epyestim

Python package to estimate the time-varying effective reproduction number of an epidemic from reported case numbers

junevis

Visualization for the JUNE epidemic and intervention simulation tool

compartmental

Vectored GPU based compartmental simulations. Easy to use. With some ABC (Approximate Bayesian Computation) utils

cosasi

COntagion Simulation And Source Identification: a Python package for graph diffusion source inference

contagion

Python package for node immunization and network contagion simulation

dynsis

Implementation of SIS epidemic model for large and heterogeneous networks using Fortran.

outbreaker

CLI Browser for the WHO Disease Outbreak News feed

mesa-sir

Disease propagation ABM generating SIR, severe cases, and R0 over quasi-time.

hypercontagion

Library for epidemics on hypergraphs