UofUEpiBio/epiworldR

A general framework for quick epidemiological ABM models

Language: R - Size: 53.8 MB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 9 - Forks: 3

moocf/sir-graph.html

Disease modelling using graph algorithms.

Language: JavaScript - Size: 271 KB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

moocf/sir_model.processing

SIR Model simulation with Processing.

Language: Processing - Size: 192 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

iiithf/infectious-disease-modeling

Models can project how infectious diseases progress to show the likely outcome of an epidemic and help inform public health interventions.

Size: 60.6 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 1

UofUEpiBio/epiworldR-workshop

Workshop Website

Language: R - Size: 30 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

Lewuathe/COVID19-SIR

COVID-19 SIR model estimation

Language: Python - Size: 1.44 MB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 133 - Forks: 75

JBris/sbi-epidemiology

Simulation based inference for epidemiology

Language: HTML - Size: 836 KB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

DO-SAY-GO/sirdb

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

Language: JavaScript - Size: 201 KB - Last synced at: 7 days ago - Pushed at: 12 months ago - Stars: 573 - Forks: 14

naseem1amjad/Python-AI-VoiceChatGPT

Use ChatGpt (openAi) by Voice i.e. using text to speech and speech to text. Voice Agent , Voice Assistant.

Language: Python - Size: 494 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1

Esdras-dark/tab

tabelas

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BaptisteBourrillon/Maladies-infectieuses

Language: R - Size: 6.84 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

CNC-IISER-BHOPAL/Disease-Models-with-Python-Mesa

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.

Language: Jupyter Notebook - Size: 342 KB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

irojkov-ph/epic_demics

Language: MATLAB - Size: 222 MB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

DND-DRDC-RDDC/OS_PyCoMod

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.

Language: Python - Size: 261 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 3

juandapradam12/Leap-Frog-Method-For-Solving-Ordinary-Differential-Equations-Describing-Epidemic-SIR-Model

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).

Language: Python - Size: 13.7 KB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 2

ccc1685/covid-19

Julia code to evaluate SIR models

Language: Jupyter Notebook - Size: 124 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 9

Quantalabs/Disease 📦

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

Language: JavaScript - Size: 89.8 KB - Last synced at: 23 days ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

oliviergimenez/SIRcovid19

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

Language: HTML - Size: 12.6 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

oliviergimenez/sir_multievent

Contains functions to simulate data from and fit SIR multievent models

Language: R - Size: 26.4 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

JBris/sir-agent-based-modelling

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

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

benmaier/GillEpi

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

Language: Python - Size: 36.1 KB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 0

jmcastelo/SIRview

Solve and display SIR epidemiological models.

Language: C++ - Size: 448 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

rokkuran/EpidemicSimulations.jl

Graph based epidemic simulations.

Language: Julia - Size: 5.48 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1

gasilva/dataAndModelsCovid19

Python code to analyze data and predict Covid-19 infection

Language: Jupyter Notebook - Size: 3.5 GB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1

BerkSpar/sir-model

:pill: It's an implementation of SIR Model in Python.

Language: Jupyter Notebook - Size: 146 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

temp3rr0r/CellularAutomataEpidemicModels

Stochastic Cellular Automata epidemic models in Python with 2D simulations

Language: Python - Size: 127 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 6

Pastells/TFG

Bachelor thesis - Mutating agents on complex networks

Language: Fortran - Size: 1.38 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

FeiGSSS/NEDMP

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

Language: Jupyter Notebook - Size: 44.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 2

deephaven/covid-19-sir-modelling

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

Language: Jupyter Notebook - Size: 9.13 MB - Last synced at: 12 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

alfredcai/SIRS 📦

visualize the process of spreading for the sir(s) model

Language: JavaScript - Size: 2.4 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

open-sir/open-sir

Python SIR-x model implementation

Language: Python - Size: 1.03 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 8

MRColorR/SIR-Covid-19-Prediction

Project for Health Systems: EDA and SIR model for COVID-19 Prediction in R

Language: R - Size: 267 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

Alberto0410/Modelo_SIR_influenza_Tlaxcala

En este proyecto se modeló la epidemia del virus de influenza A-H1N1 con base en el modelo SIR. Se utilizaron los datos proporcionados por el gobierno de México. En particular, se modeló la temporada interestacional 2018-2019 del estado de Tlaxcala

Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

acmo0/SIR-simulation

This is an implementation of the SIERD model in C using Euler's explicit method

Language: C - Size: 925 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

bissessk/COVID-19-Predictions-using-SIRD-dynamics-and-Machine-Learning

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

Language: Python - Size: 748 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

op12no2/protect

Javascript app showing how vaccination provides indirect protection.

Language: JavaScript - Size: 853 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

maxbiostat/R0_uncertainty

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

Language: Jupyter Notebook - Size: 153 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 2

jeckonov/Epidemics

Analysis of a SEIR model and practical applications

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

FelixFern/SIR-streamlit

a Solver and visualizer for SIR Model a Mathematical Model for Infectious Disease

Language: Python - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

JerryLingjieMei/Competitive_SIR

A model for studying competing rumor epidemics

Language: Python - Size: 206 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

acbarker19/COVID-19-Effects-of-Quarantining

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

Language: Python - Size: 451 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

nitin-bommi/Indian-eSIR-model

Overview of SIR model and extension of it.

Size: 724 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

hcencabo/JASIRM

Just Another SIR Modeler

Language: R - Size: 98.6 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

danielhanchen/Markovian_SIR_Deaths_Model

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.

Language: Jupyter Notebook - Size: 31 MB - Last synced at: 19 days ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 2

damianhorna/sir-covid19

Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

BijuAle/epidemic_analyzer

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

Language: HTML - Size: 52.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

ncespedesc/Coronavirus_bogota

Simulacion de coronavirus 2019-ncov

Language: R - Size: 659 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

michael-georgiadis/SIR-Implementation

Implementation of SIR algorithm

Language: TypeScript - Size: 165 KB - Last synced at: 12 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

stdAri/SIR_model_by_matlab

Language: TeX - Size: 16 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

ichko/SirModel

Epidemiology modeling (FMI project)

Language: JavaScript - Size: 1.53 MB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 1