A project contains simple programs written in R language to implement SIR Model - a compartmental model for modeling infectious diseases mathematically.
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Updated
Aug 17, 2020 - R
A project contains simple programs written in R language to implement SIR Model - a compartmental model for modeling infectious diseases mathematically.
Compartmental epidemiology models for COVID
Pharmacodynamic and pharmacokinetic models that explore tumor and vasculature growth with anti-angiogenic agents and chemotherapeutic agents.
Project on Compartment model.
Open Python Web App for Pharmcological Modeling and Analysis
An R package and web application for estimating the basic reproduction number (R0) of infectious diseases.
Analyze the trajectory of curved free kick in soccer matches with the compartment model
Vectored GPU based compartmental simulations. Easy to use. With some ABC (Approximate Bayesian Computation) utils
🦠🤒 Demonstration of the SIR model
Compartmental models used to predict COVID-19 in Italy at provincial level
The official manual to the epispot package
Using the SIR model to predict COVID-19 infection patterns. It is a compartmental model with the variables S, I and R for the number of susceptible, infectious and resistant individuals, respectively.
libreMCM (libre Multi Compartment Modelling) is a free software for carrying out deterministic and probabilistic modelling.
This detailed and robust compartmental model accompanies the manuscript Beining et al (2017): T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells. eLife
[Done] COVID-19 projections using SEIR models with R
Website for the Flexible Epidemic Modeling Pipeline
SIR and SIS Model of an Outbreak
Previously epidemiologists have not relied on topological data analysis to model disease spread. Instead, they have used variants of the SIR compartmental model from classic epidemiology theory and stochastic models. This project will hopefully show how topological data analysis can be considered for use as an extra tool in epidemiology.
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