[Under active development] - 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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Updated
Jun 12, 2024 - R
[Under active development] - A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
Compartmental Epidemic Models in Python
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
[Under active development] Methods for simulating and analysing the sizes and lengths of infectious disease transmission chains from branching process models
Shiny webapp for epiworldR package
A SEIRS-NIMFA compartmental epidemiological model implementation adapted for the analysis of IoT network malware propagation
Code for reproducing the results presented in 'When should lockdown be implemented? Devising cost-effective strategies for managing epidemics amid vaccine uncertainty' (N.J. Doyle, F. Cumming, R.N. Thompson, M.J. Tildesley).
Library for epidemics on hypergraphs
A crude simulation of an epidemic in Python with pygame visualization
Epidemic simulation for MATSim
Spreading Processes on Networks
Continuous-time noisy voter 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)))
A repository to store all of my epidemiological predictive models, including a basic SIR model and it's modifications. This repository also has some other fun models, including the SIInZD model for zombie outbreaks, and a model to predict the population growth of the Diclonious race from Elfen Lied. These models are written in C++ and use OpenMP.
Designed and implemented an epidemiological model in C++ using stochastic modelling. Such models generalize classical SEIR ones that are only defined via ODEs, without considering spatial relations.
Agent-based modelling of pandemics using the Susceptible, Infected, Recovered (SIR) framework.
Vectored GPU based compartmental simulations. Easy to use. With some ABC (Approximate Bayesian Computation) utils
Trabajo de Fin de Grado de Física 2022
This repository hosts a Python-based Infection Model Simulator capable of simulating and visualizing the dynamics of various infection models: SIR, SIRD, and SIER. The models allow tracking the spread and impact of infections considering different parameters.
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