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Communications in Mathematical Biology and Neuroscience ISSN 2052-2541

Archives › Volume 2021 (2021)

Commun. Math. Biol. Neurosci. 2021 (2021), Article ID 46

Optimal prevention strategy of the type SIR COVID-19 spread model in Indonesia

Jonner Nainggolan, Fatmawati -

PDF (366.7 KB) https://doi.org/10.28919/cmbn/5571

Abstract

This paper studied the optimal control for the spread of the type SIR COVID-19 in Indonesia. Optimal control provided by prevention of COVID-19 with Large-Scale Social Restrictions in the Framework of Accelerated Handling COVID-19 (u1*) and COVID-19 treatment efforts (u2*). Data obtained from COVID-19.go.id from July 1-September 30, 2020. The increase in COVID-19 cases can be seen from the basic reproduction number (R0) greater than one, which means that the number of active cases of COVID-19 in Indonesia continues to increase. The Indonesian government has made efforts to overcome the spread of COVID-19 but the number of active cases of COVID-19 is still increasing. Optimal control u1* and u2* can significantly reduce the number of active COVID-19 individuals compared without control. Optimal control u2* significantly can increase the number of individuals who recovered COVID-19 compared without control.

Published
21 May 2021
Volume
2021 (2021)
License
CC BY 3.0

Copyright © 2021 Jonner Nainggolan, Fatmawati -. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article

J. Nainggolan, F. -, Optimal prevention strategy of the type SIR COVID-19 spread model in Indonesia, Commun. Math. Biol. Neurosci. 2021 (2021), 46. https://doi.org/10.28919/cmbn/5571

BibTeX
@article{Nainggolan2021,
  author  = {Nainggolan, Jonner and -, Fatmawati},
  title   = {Optimal prevention strategy of the type SIR COVID-19 spread model in Indonesia},
  journal = {Commun. Math. Biol. Neurosci.},
  volume  = {2021},
  year    = {2021},
  pages   = {46},
  doi     = {10.28919/cmbn/5571}
}