COVID-19 SIR model estimation

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

Python SIR-x model implementation

Julia code to evaluate SIR models

Stochastic Cellular Automata epidemic models in Python with 2D simulations

Epidemic simulation models of complex network.

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

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.

Implementation of the Leap-Frog Method for solving ordinary differential equations describing the epidemic SIR Model for a population of N individuals, considering the variables of individuals infected I(t), the suceptible to be infeted S(t) and the individuals who have recovered from the infection R(t).

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

Python code to analyze data and predict Covid-19 infection

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…

Overview of SIR model and extension of it.

Contains functions to simulate data from and fit SIR multievent models

A report and relevant scripts detailing how quarantining has affected the spread of COVID-19 using ECDC data and an SIR model.

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

Workshop Website

Graph based epidemic simulations.

Epidemiology modeling (FMI project)

A model for studying competing rumor epidemics