Corpus ID: 218763469

An Optimal Predictive Control Strategy for COVID-19 (SARS-CoV-2) Social Distancing Policies in Brazil

@article{Morato2020AnOP,
  title={An Optimal Predictive Control Strategy for COVID-19 (SARS-CoV-2) Social Distancing Policies in Brazil},
  author={Marcelo Menezes Morato and Saulo Benchimol Bastos and Daniel O. Cajueiro and Julio Elias Normey-Rico},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.10797}
}
  • Marcelo Menezes Morato, Saulo Benchimol Bastos, +1 author Julio Elias Normey-Rico
  • Published 2020
  • Biology, Computer Science, Engineering, Mathematics
  • ArXiv
  • The global COVID-19 pandemic (SARS-CoV-2 virus) is the defining health crisis of our century. Due to the absence of vaccines and drugs that can help to fight it, the world solution to control the spread has been to consider public social distance measures that avoids the saturation of the health system. In this context, we investigate a Model Predictive Control (MPC) framework to determine the time and duration of social distancing policies. We use Brazilian data in the period from March to May… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    Explore Further: Topics Discussed in This Paper

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 50 REFERENCES

    Robust and optimal predictive control of the COVID-19 outbreak

    VIEW 6 EXCERPTS
    HIGHLY INFLUENTIAL

    Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts

    VIEW 12 EXCERPTS
    HIGHLY INFLUENTIAL