sir

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

COVID-19 SIR model estimation

Epidemic simulation models of complex network.

Stochastic Cellular Automata epidemic models in Python with 2D simulations

Python code to analyze data and predict Covid-19 infection

A general framework for quick epidemiological ABM models

Python SIR-x model implementation

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

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

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

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.

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

Julia code to evaluate SIR models

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

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 was able to update the probabilities of a virus from spreading from A to B in real time, and I plan to release it to the public next year. I also used Machine Learning and Deep Learning to predict larger long-term virus trends with Google Trends, and this acted as a validator for the MSIRD model.

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.

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.

Contains functions to simulate data from and fit SIR multievent models

Based of of the 3b1b video, Simulating and Epidemic, this simulation simulates a disease outbreak in a community.

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