Fractional dynamics of a Chikungunya transmission model

  • Joseph Yangla
  • , Hamadjam Abboubakar
  • , Ezekiel Dangbe
  • , Richard Yankoulo
  • , Ado Adamou Abba Ari
  • , Irépran Damakoa
  • , Kottakkaran Sooppy Nisar

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

In this paper, we introduce a Caputo-sense fractional derivative to an existing model for the Chikungunya transmission dynamics, replacing integer derivative. After reviewing previous work on the integer order model, we suggest a change whereby the integer derivative is replaced by the Caputo derivative operator, and then we obtain results about the asymptotic stability of equilibrium points in this new fractional model. We prove the existence and uniqueness of the solution as well as the global stability of the fractional system. We then construct a numerical scheme for the fractional model, and use parameter values from the Chikungunya epidemic in Chad to perform numerical simulations. This allows us to validate our theoretical results and compare the dynamics behaviour of both models. We find from numerical simulations, that for the fractional-order parameter η in the range (0.85;1), daily detected cases are closer to those the model predict. Thus in the case of Chikungunya epidemic in Chad, the model with fractional derivative produces better results than which with integer derivative.

Original languageEnglish
Article numbere01812
JournalScientific African
Volume21
DOIs
StatePublished - Sep 2023

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

  • Asymptotic stability
  • Caputo derivative
  • Chikungunya
  • Fractional model
  • Ulam–Hyers stability

Fingerprint

Dive into the research topics of 'Fractional dynamics of a Chikungunya transmission model'. Together they form a unique fingerprint.

Cite this