Supervising the vaccinations and treatment control gains in a discrete SEIADR epidemic model

R. Nistal, M. de la Sen, S. Alonso-Quesada, A. Ibeas

Research output: Contribution to journalArticleResearch

4 Citations (Scopus)

Abstract

A discrete SEIADR (Susceptible-Exposed-Infectious-Asymptomatic-Dead-Recovered) epidemic model is proposed based on a continuous one and its fundamental properties are discussed such as the non negativity and the stability of the equilibrium points. A supervised control gain based on vaccination strategies is proposed in order to minimize a certain cost figure defined for the system and associated to the spreading of the disease. Some simulation examples are provided in order to show that the supervised strategy proposed in this paper is able to improve the efficacy of infection removal.

Original languageEnglish
Pages (from-to)2053-2069
Number of pages17
JournalInternational Journal of Innovative Computing, Information and Control
Volume15
Issue number6
DOIs
Publication statusPublished - Dec 2019

Keywords

  • Discrete models
  • Epidemic models
  • Nonlinear dynamics and control systems
  • Reproduction number
  • Vaccination controls

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