Optimal Control of COVID-19 Model with Partial Comorbidity Sub-populations and Two Isolation Treatments in Indonesia

Muhammad Abdurrahman Rois, Fatmawati, Cicik Alfiniyah

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)523-537
Number of pages15
JournalEuropean Journal of Pure and Applied Mathematics
Volume16
Issue number1
DOIs
Publication statusPublished - Jan 2023

Keywords

  • COVID-19
  • comorbidity
  • optimal control
  • sensitivity analysis

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