sir-model
There are 7 repositories under sir-model topic.
- graph-theory
je-suis-tm / graph-theory
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS
graph-theorymaximal-cliquesepidemic-modelsir-modeldynamic-systemrandom-graphagent-based-modelingcompartmental-modelcomplex-networkdynamic-networkagent-based-simulationminimum-spanning-treesminimum-spanning-treecomplex-systemsspatial-modelsbianconi-barabasibarabasi-albertsars-cov-2watts-strogatzgraph-coloringLanguage:Jupyter Notebook 328 - covid19-sir
lisphilar / covid19-sir
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
Language:Python 108 - simulation_virus_covid-19
antonin-lfv / simulation_virus_covid-19
Simulating epidemics using Python
Language:Python 51 - Language:Python 21
PingEnLu / Time-dependent_SIR_COVID-19
Codes for the paper "A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons"
Language:Python 18mjg211 / phaseR
Development version of phaseR, an R package for phase plane analysis of one- and two-dimensional autonomous ODE systems
Language:R 15- MetaWards
metawards / MetaWards
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
Language:Python 13 - covid-19
p-j-r / covid-19
Stochastic SIR models; adding age-structures and social contact data for the spread of covid-19. Lattice model for identifying and isolating hotspots. This has been further developed into a network(graph) of multiple clusters(lattices) and tracing the infection in such a population.
Language:Jupyter Notebook 13 metalcorebear / Mesa-SIR
A Mesa-based ABM library for epidemiological (SIR) modeling.
Language:Python 10paramrathour / Nonlinear-Dynamics
Files related to my Summer of Science Report on Nonlinear Dynamics
Language:TeX 10SilverLinings89 / VirusSimulator
A virus simulation for pandemics based on the SIR-network concept.
Language:TypeScript 10nishi1612 / Modelling-and-Simulation
CS302 Modelling and Simulation Weekly Assignments in python based on modelling different systems - SARS, Malaria, SIR
Language:Jupyter Notebook 9parulm / spread_lockdown
A GitHub repo for the generation of a network model to represent society with various components, the spread of the disease on this network, and the calculation of reproduction number on these simulation results.
Language:Python 9maufadel / SIR_on_Gnutella
Simulation of a SIR Epidemic process on the Gnutella p2p network on Python
Language:Jupyter Notebook 8adbecker / tsiR
tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics
Language:R 7- Language:Python 6
acrooks2 / Four-Disease-Models
Comparing four modeling approaches: System Dynamics, Agent-based Modeling, Cellular Automata, and Discrete Event Simulation using a SIR model as an example
Language:NetLogo 5fudab / fudab.github.io
Official website @ Github with content including COVID-19.
Language:HTML 5spang-lab / TenSIR
SIR model parameter estimation using a novel algorithm for differentiated uniformization.
Language:Python 5tjxie / KUX_PandemicMacro
Macroeconomic dynamics and reallocation in an epidemic
Language:MATLAB 5- sirsimx
lorenzofelletti / sirsimx
Simple SIR Model Simulation
Language:JavaScript 4 MatteoM95 / Network-Dynamics-and-Learning
Homework and exercises from course Network Dynamics and Learning
Language:Jupyter Notebook 4cgado12 / disseminationSimulator
A visualization in processing (java) that simulates how things spread inside a network.
Language:Processing 3CNC-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 3Cobord / Simple-ODEs
Various ODEs
Language:Jupyter Notebook 3Forcoa-NET / SirModelShowCase
SIR model example with visualization on Karate Club network.
Language:Jupyter Notebook 3migduroli / covid-uk-variant
More than a year after the onset of the CoVid-19 pandemic in the UK: lessons learned from a minimalistic model capturing essential aspects including social awareness and policy making
Language:Python 3NightMachinery / stochastic
My Julia megarepo; an infectious disease model, a Poisson picture redrawing filter, a colorful animator of a 2D ising model, and more.
Language:HTML 3P2-718na / SIR-model-simulation
SIR model implementation for pandemic spread
Language:C++ 3uros-bojanic / epidemic-modelling
[Computer Modeling] SIR/SIRS/SIRQ/ISIR/SEIR compartmental models for numerical epidemic modelling in MATLAB.
Language:MATLAB 3ablacan / ml-ci
A machine learning method for confidence interval (CI) computation with specific application to Covid-19 forecast on 54 countries.
Language:Python 2doscsy12 / network_sci_analysis
Network data analysis using networkx, and gephi for visualisations.
networkxgraph-theorycomplexity-sciencenetwork-analyticsnetwork-robustnessairline-networkfailuresattacksnetwork-analysisepidemic-modelsir-modelvaccination-strategypandemic-simulatorepidemic-simulationsmonte-carlo-simulationviral-marketingsocial-networkcommunity-detectiongephi-visualizationsepidemiology-analysisLanguage:Jupyter Notebook 2lorenzomancini1 / SIS_and_SIR_model_percolation
Implementation of the one dimensional Contact Process (SIS model) and two dimensional SIR model in order to find critical exponents of Percolation.
Language:Jupyter Notebook 2manuelemacchia / epidemic-graph-simulation
Simulation of an epidemic on a random graph of choice according to discrete-time SIR and SIRV models and estimation of parameters by gradient descent
Language:Jupyter Notebook 2Musca23 / SIRVSD-model-with-age-groups
Implementation of a SIRVSD model with different age groups and heterogeneous contacts in Python for Computational Models for Complex Systems Course
Language:Jupyter Notebook 2rkolovanov / computing-mathematics
Моделирование различных динамических процессов с использованием методов вычислительной математики
Language:Jupyter Notebook 2
