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Matlab simulation for my master's degree. This simulation is a sensitivity analysis and representation of four different compartmental dynamic systems

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TFMatlab

This repository contains the simulation scripts for a local parameter identifiability study based on sensitivity anlysis on four different dynamic disease systems:

  • SIS model: The susceptible-infected-susceptible compartmental model.
  • SIR model: The susceptible-infected-recovered compartmental model.
  • Influenza virus model: Compartmental model + population dynamics system. A group of cells (divided in uninfected and infected subpopulations) interacts with a virus titer.
  • HIV model: Compartmental model for the human immunodeficency virus. The population is divided in four different groups: uninfected cells, cells infected by mutant virus, cells infected by wild-type virus and dual infected cells.

We also included a pdf with the results on the command window for the considered parameters.

Developement

Scripts has been created on MATLAB R2022a.

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Matlab simulation for my master's degree. This simulation is a sensitivity analysis and representation of four different compartmental dynamic systems

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