A control framework to optimize public health policies in the course of the COVID-19 pandemic

This library contains 3 main codes for simulating a nonlinear model predictive control (NMPC) coupled with a nonlinear model able to optimize the level of policies to stop epidemic growth.The library also provide detailed informations to reproduce all published results (accepted or preprint) in the folder "Reproducibility of published results".

Getting started

If you like to

• Learn about the models used herein: Model

Instalation

Currently the library is on production, so the easiest way to use is clone our repository or copy the functions avaliable here

Dependencies

Models were implemented using Matlab script 2017a

Contributors

Igor M L Pataro, Juliane F Oliveira, Marcelo M Morato, Alan A S Amad, Pablo I P Ramos, Felipe A C Pereira, Mateus S Silva, Daniel C P Jorge, Roberto F S Andrade, Maurício L Barreto, Marcus Americano da Costa