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A chaos study of fractional SIR epidemic model of childhood diseases

  • University of Jordan
  • National Institute of Technology Jamshedpur
  • University of Victoria BC
  • China Medical University Taichung
  • Azerbaijan University
  • International Telematic University Uninettuno
  • Ajman University

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Models of bio-mathematics are experimental systems that recreate aspects of human tissue function, diseases or virus. In this research, a new operational matrix based on the Laguerre wavelets is introduced for a arbitrary-order susceptible-infected-recovered (SIR) epidemic dynamical system of childhood diseases. An exact mechanism for the Riemann–Liouville arbitrary integral operator for the Laguerre wavelets is explained where the arbitrary-order derivative is assumed in the Liouville-Caputo style. Further, we use this operational matrix to convert the given dispute into a system of algebraic equations. The chaotic attractors for fractional-order SIR dynamical model are illustrated graphically by adopting the Adams–Bashforth-Moulton (ABM) scheme. Numerical simulations and results for the susceptible, infected and recovered peoples are carried out by using the Laguerre wavelets. Their behaviour with respect to time is seen to be the key features of this work. Moreover, we have compared the Laguerre wavelet solutions with the ABM solution for the truthfulness and applicability of the Laguerre wavelets scheme.

Original languageEnglish
Article number104422
JournalResults in Physics
Volume27
DOIs
StatePublished - Aug 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Adams-Bashforth-Moulton method
  • Dynamical systems
  • Fractional derivatives
  • Fractional-order differential equations (FDEs)
  • Laguerre wavelets
  • Operational matrix
  • SIR epidemic model

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