Generalized SEIR Epidemic Model (fitting and computation)

Simulators for Compartmental Models in Epidemiology

A tool for modeling infectious diseases.

A free, open-source tool for modeling chemical reaction networks in Python

A simple Python library for compartment models

T2N is an extension of the TREES toolbox providing an interface between Matlab and the compartmental modeling environment NEURON. It was published in (and should be cited this way): Beining M, Mongiat, LA, Schwarzacher SW, Cuntz H, Jedlicka P: T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells. eLife 2017; 6:e26517

Python SIR-x model implementation

The Flexible Epidemic Modeling Pipeline

Open source epidemiological modeling in Python

CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.

Code for modeling RSV resurgence following contact restrictions

Tools for building and calibrating compartmental models of infectious disease.

Simulation code for Hashemi, S., and Shafiee, S., and Tetzlaff, C. (2025)."Robust Input Disentanglement Through Dendritic Calcium-Mediated Action Potentials"

Master thesis for the MSc in Data Science and Economics at Università degli Studi di Milano

Repository listing all the measles resources and tools developed by ForeSITE

Open Source Perfusion Analysis Plugin for OsiriX and Horos

Implementation of a SIRVSD model with different age groups and heterogeneous contacts in Python for Computational Models for Complex Systems Course

Epidemiologic Compartmental Modeling Monad in R

A machine learning method for confidence interval (CI) computation with specific application to Covid-19 forecast on 54 countries.

Comparative study of the main techniques used for COVID modeling where the information available is infected curve. The objective is to identify those univariate techniques that produce the best results, analyzing whether the more complex models are really able to provide better predictions.

🦠🤒 Illustration of the SIR Model

Understanding dynamics of COVID-19 in Delhi, India, using compartmental model that incorporates Testing bias and Misclassification.

Open Python Web App for Pharmcological Modeling and Analysis

Docker and Apptainer setup for the BEAST 2 software

Experiments with the BEAST 2 software

Exploring characteristics of value-added production of anthraquinones in rhubarb via fermentation: Compartmental modelling and molecular docking analysis

Machine learning algorithms for the calibration of epidemiological compartmental models: application to the Italian COVID-19 outbreaks in Italy and to the newly developed SUIHTER model.

Interactive epidemic simulations with compartmental models from SI to MSIER

Livestock disease transmission database

This repo contains the final work of the Simulation and Modeling class, part of the MSc in Data Science and Business Analytics @ Bocconi University