R package to estimate disease severity and under-reporting in real-time, accounting for reporting delays in epidemic time-series

R package to calculate the final size of an SIR epidemic in populations with heterogeneity in social contacts and disease susceptibility

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

EpiSimulator: A Data-Driven Stochastic Hybrid Model for COVID-19 in Italy.

Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731

[No longer being developed. Use the epichains package instead]. Methods for simulating and analysing the sizes and lengths of chains from branching process models

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

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

[Computer Modeling] SIR/SIRS/SIRQ/ISIR/SEIR compartmental models for numerical epidemic modelling in MATLAB.

SEIRD model project for the Programmazione per la fisica exam.

Epidemic visualization; Language: R.

Collection of epidemic models. Complex networks, stochastic models and ODEs, all with non-markovian distributions (Erlang type).

A Basic Compartmental Epidemic Modelling API

DeepAR implementation for seasonal influenza cases in German districts

*Stochastic Modelling of Vector-Borne Diseases with Household Structures* Thesis submitted for the degree of Honours of Mathematical Sciences in Applied Mathematics at The University of Adelaide.

A HTML/JavaScript simulator for an epidemc on a population

Epidemic Models. Bayesian Estimation (MCMC) of Change-Points in COVID-19 Reported Cases in 3 European Countries

Worker of prediksicovidjatim