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.

A HTML/JavaScript simulator for an epidemc on a population

A crude simulation of an epidemic in Python with pygame visualization

Epidemic simulation for MATSim

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.

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.

A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.

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

Compartmental Epidemic Models in Python

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.

Library for epidemics on hypergraphs

No description provided.

Methods for simulating and analysing the sizes and lengths of infectious disease transmission chains from branching process models

German Epidemic Microsimulation System developed in the OptimAgent-Project.

Matlab Simulator of Continuous-time Multi-type Branching Processes in Random Environment. (UPDATE: includes examples for modelling the coronavirus epidemics (COVID-19, SARS-CoV-2)))

[RETIRED. Use the epichains package instead]. Methods for simulating and analysing the sizes and lengths of chains from branching process models

A collection of complex networks assignments

CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.

This repo contains the source code KenyaCoV, a simulation package for forecasting SARS-CoV-2 transmission in Kenya.

Interactive tool for modeling the evolution of COVID-19 in Sri Lanka

Game theoretical modelling of COVID-19 vaccine adoption

Agent-based modelling of pandemics using the Susceptible, Infected, Recovered (SIR) framework.

The Viral Epidemic Simulator is an interactive tool designed to model the spread of viruses under various conditions and scenarios. Users can configure parameters such as virus type, initial infection count, vaccination rates, and curfew settings to observe how these factors influence the epidemic's progression.