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

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

Julia code to evaluate SIR models

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

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.

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

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

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.

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.

Graph based epidemic simulations.

Overview of SIR model and extension of it.

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

A Spring-boot project for analyzing epidemic data with database management, maps, and a simulation module (Kermack-McKendrick SIR Model).

Modeling infectious diseases with the SIR model and variations

Epidemic models

Poster session CIMAT 2020. The repository includes the code to reproduce the results presented. Any doubts please email me at javier.aguilar at cimat dot com

Epidemiology modeling (FMI project)

A model for studying competing rumor epidemics

Just Another SIR Modeler

Agent-Based Model of the transmission of Bluetongue virus (BTV) and Epizootic Hemorrhagic Fever Disease (EHDV).

This project aims to incorporate SIRD dynamics with machine learning techniques to make long term predictions of the spread of COVID-19.

SIR epidemic simulation using OpenMP.

In this simulation, the intensity of the intervention is periodically varied over a period of time. Consider a case in which the government intervention issues a restraint or ban on going out and contact of people changes.