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Dynamical analysis of a discrete-time COVID-19 epidemic model.
Qadeer Khan, Abdul; Tasneem, Muhammad; Younis, Bakri Adam Ibrahim; Ibrahim, Tarek Fawzi.
  • Qadeer Khan A; Department of Mathematics University of Azad Jammu and Kashmir Muzaffarabad Pakistan.
  • Tasneem M; Department of Mathematics University of Azad Jammu and Kashmir Muzaffarabad Pakistan.
  • Younis BAI; Department of Mathematics, Faculty of Sciences and Arts in Zahran Alganoob King Khalid University Abha Saudi Arabia.
  • Ibrahim TF; Department of Mathematics, Faculty of Sciences and Arts (Mahayel) King Khalid University Abha Saudi Arabia.
Math Methods Appl Sci ; 2022 Oct 23.
Article in English | MEDLINE | ID: covidwho-2227002
ABSTRACT
In this paper, we explore local dynamics with topological classifications, bifurcation analysis, and chaos control in a discrete-time COVID-19 epidemic model in the interior of ℝ + 4 . It is explored that for all involved parametric values, discrete-time COVID-19 epidemic model has boundary equilibrium solution and also it has an interior equilibrium solution under definite parametric condition. We have explored the local dynamics with topological classifications about boundary and interior equilibrium solutions of the discrete-time COVID-19 epidemic model by linear stability theory. Further, for the discrete-time COVID-19 epidemic model, existence of periodic points and convergence rate are also investigated. It is also studied the existence of possible bifurcations about boundary and interior equilibrium solutions and proved that there exists no flip bifurcation about boundary equilibrium solution. Moreover, it is proved that about interior equilibrium solution, there exist Hopf and flip bifurcations, and we have studied these bifurcations by utilizing explicit criterion. Moreover, by feedback control strategy, chaos in the discrete COVID-19 epidemic model is also explored. Finally, theoretical results are verified numerically.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2022 Document Type: Article