Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
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Updated
Mar 9, 2023 - Python
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
A crude simulation of an epidemic in Python with pygame visualization
PyRoss: inference, forecasts, and optimised control of epidemiological models in Python
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
Epidemic simulation for MATSim
An interactive inspired by 3Blue1Brown's 'Simulating an Epidemic' video.
Simulate a pandemic with artificial life objects.
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.
Methods for simulating and analysing the sizes and lengths of chains from branching process models
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
A HTML/JavaScript simulator for an epidemc on a population
Javascript implementation of an epidemic SIR model
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)))
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.
Example project to get started with epidemic modelling in MATSim Episim
A collection of complex networks assignments
Modelling the Coronavirus Statistics for India using the SIR Model
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