Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions
Simulate a pandemic with artificial life objects.
An interactive inspired by 3Blue1Brown's 'Simulating an Epidemic' video.
Epidemic simulation for MATSim
A HTML/JavaScript simulator for an epidemc on a population
A crude simulation of an epidemic in Python with pygame visualization
Javascript implementation of an epidemic SIR model
distributed pandemics simulator, uses the power of spark to generate huge bulks of contact-tracing data.
Episimmer is an Epidemic Simulation Framework for Decision Support. It is a highly flexible system that can be easily configured to help take decisions during an epidemic in closed communities like university campuses and gated communities.
A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests and viral simulations at scale. Related manuscripts: https://doi.org/10.1111/2041-210X.14168 and https://doi.org/10.1038/s41467-025-60988-8
Stochastic SIR models; adding age-structures and social contact data for the spread of covid-19. Lattice model for identifying and isolating hotspots. This has been further developed into a network(graph) of multiple clusters(lattices) and tracing the infection in such a population.
Compartmental Epidemic Models in Python
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
Library for epidemics on hypergraphs
Based on Simulating an Epidemic by 3Blue1Brown, this interactive simulation lets the user explore their ideas experimentally and quantitatively in a limited fashion, and to understand the drastic effects minor changes in behaviour can have in our fight against any disease.
A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
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