Optimal Control of COVID-19 Model with Partial Comorbid Subpopulations and Two Isolation Treatments in Indonesia

Authors

  • Muhammad Abdurrahman Rois Universitas Airlangga
  • Fatmawati Universitas Airlangga
  • Cicik Alfiniyah Universitas Airlangga

DOI:

https://doi.org/10.29020/nybg.ejpam.v16i1.4666

Keywords:

COVID-19, sensitivity analysis, optimal control

Abstract

We applied sensitivity analysis and optimum control to the COVID-19 model in this research. In addition, the basic reproduction number calculated as 1.57 indicates that this illness is widespread across Indonesia. The most important factor in this model is the contact rate with infected people, with or without comorbidity. Optimal control will minimize the number of infected populations without and with comorbidity, and costs. Numerical experiments will be carried out to describe and compare the graphical models of the spread of COVID-19 with and without controls. From the numerical results and cost-effectiveness analysis on the optimal control problem, it is found that applying a combination of controls can give the best results compared to a single control

Author Biographies

Fatmawati, Universitas Airlangga

Department of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Surabaya 60115, Indonesia

Cicik Alfiniyah, Universitas Airlangga

Department of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Surabaya 60115, Indonesia

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Published

2023-01-29

How to Cite

Rois, M. A., Fatmawati, & Alfiniyah, C. (2023). Optimal Control of COVID-19 Model with Partial Comorbid Subpopulations and Two Isolation Treatments in Indonesia. European Journal of Pure and Applied Mathematics, 16(1), 523–537. https://doi.org/10.29020/nybg.ejpam.v16i1.4666

Issue

Vol. 16 No. 1: (January 2023)

Section

Nonlinear Analysis

License

Copyright (c) 2023 European Journal of Pure and Applied Mathematics

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