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
Sep 1, 2026 - R
A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
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
Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731
Methods for simulating and analysing the sizes and lengths of infectious disease transmission chains from branching process models
EpiSimulator: A Data-Driven Stochastic Hybrid Model for COVID-19 in Italy.
[RETIRED. Use the epichains package instead]. Methods for simulating and analysing the sizes and lengths of chains from branching process models
Agent-based modelling of pandemics using the Susceptible, Infected, Recovered (SIR) framework.
Python implementation of behavioral-epidemic models for COVID-19
Transform epidemic modeling research papers into interactive public health simulators. Powered by Claude Opus 4.6 — 1M context, extended thinking, 128K output.
DeepAR implementation for seasonal influenza cases in German districts
D-FENSE project deals with Dengue Virus (DENV) epidemics in Brazil, enabling predictive modeling and data visualization to support decision-making in public health.
SEIRD model project for the Programmazione per la fisica exam
Collection of epidemic models. Complex networks, stochastic models and ODEs, all with non-markovian distributions (Erlang type).
Stochastic SIRD epidemic simulation using CTMC and Gillespie’s algorithm to analyse disease spread, extinction time and final outbreak size.
CLiDENGO26-Dengue is a forecasting model for dengue dynamics through a mechanistic, stochastic climate-modulated β-logistic growth model for weekly dengue cases at the state (UF) level.
Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels
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