JOURNAL ARTICLE

The global stability and optimal control of the COVID-19 epidemic model.

  • Published In: International Journal of Biomathematics, 2024, v. 17, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: CHIEN, FENGSHENG; Nik, Hassan Saberi; Shirazian, Mohammad; Gómez-Aguilar, J. F. 3 of 3

Abstract

This paper considers stability analysis of a Susceptible-Exposed-Infected-Recovered-Virus (SEIRV) model with nonlinear incidence rates and indicates the severity and weakness of control factors for disease transmission. The Lyapunov function using Volterra–Lyapunov matrices makes it possible to study the global stability of the endemic equilibrium point. An optimal control strategy is proposed to prevent the spread of coronavirus, in addition to governmental intervention. The objective is to minimize together with the quantity of infected and exposed individuals while minimizing the total costs of treatment. A numerical study of the model is also carried out to investigate the analytical results. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Biomathematics. 2024/01, Vol. 17, Issue 1, p1
  • Document Type:Article
  • Subject Area:Life Sciences
  • Publication Date:2024
  • ISSN:1793-5245
  • DOI:10.1142/S179352452350002X
  • Accession Number:164706950
  • Copyright Statement:Copyright of International Journal of Biomathematics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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