👨 a simple, git diffable JSON database on yer filesystem. By the power of NodeJS

• UpdatedApr 25, 2024
• JavaScript

COVID-19 SIR model estimation

• UpdatedNov 22, 2022
• Python

Epidemic simulation models of complex network.

• UpdatedApr 8, 2017
• C++

Stochastic Cellular Automata epidemic models in Python with 2D simulations

• UpdatedFeb 24, 2020
• Python

Python code to analyze data and predict Covid-19 infection

• UpdatedSep 19, 2023
• Jupyter Notebook

A general framework for quick epidemiological ABM models

• UpdatedMar 5, 2025
• R

Python SIR-x model implementation

• UpdatedDec 8, 2022
• Python

Official PyTorch implementation of Neural Enhanced Dynamic Message Passing in AISTATS 2022

• UpdatedJun 23, 2022
• Jupyter Notebook

Some remarks on prior modelling for the basic reproductive number in the Susceptible-Infected-Recovered (SIR) epidemic model

• UpdatedSep 18, 2023
• Jupyter Notebook

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

• UpdatedFeb 19, 2024
• Jupyter Notebook

Provides classes to simulate epidemics on (potentially time-varying) networks using a Gillespie stochastic simulation algorithm or the classic agent based method.

• UpdatedOct 22, 2019
• Python

This repository is meant as a facilitator for all those who want to learn agent based disease modelling using the mesa framework in python. When I started out, there were too few examples for this on the net. Thankful to the community helping me learn, here I will share some of my insights.

• UpdatedSep 1, 2020
• Jupyter Notebook

Uses Markov chain Monte Carlo to estimate the parameters of an SIR model with COVID-19 data

• UpdatedAug 12, 2020
• Jupyter Notebook

Julia code to evaluate SIR models

• UpdatedJan 15, 2021
• Jupyter Notebook

PyCoMod is a Python package for building and running compartment models derived from systems of differential equations such as the Susceptible-Infectious-Recovered (SIR) model of infectious diseases.

• UpdatedFeb 10, 2025
• Python

I noticed that traditional methods to predict a disease outbreak was by performing sentiment analysis on Twitter posts and Google Search terms. Unfortunately, these methods were inadequate, as Twitter and Google is not popular in all countries. So, I created a system to model and predict outbreaks without the need for social media. The system wa…

• UpdatedNov 11, 2017
• Jupyter Notebook

Explore strategies of social distancing on epidemic w/ SIR model and R - from Gandon, Lion, Day

• UpdatedMar 30, 2020
• HTML

Contains functions to simulate data from and fit SIR multievent models

• UpdatedAug 7, 2020
• R

The purpose of this GitHub repository is to furnish the source code corresponding to the research paper authored by me. The repository is designed to facilitate the verification of results by users who wish to apply their own datasets.

• UpdatedFeb 4, 2024
• Java

Graph based epidemic simulations.

• UpdatedNov 5, 2019
• Julia