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

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

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

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

Epidemic visualization; Language: R.

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

SEIRD model project for the Programmazione per la fisica exam

D-FENSE project deals with Dengue Virus (DENV) epidemics in Brazil, enabling predictive modeling and data visualization to support decision-making in public health.

A Basic Compartmental Epidemic Modelling API