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Commun. Math. Biol. Neurosci. 2021 (2021), Article ID 33

Local stability of a fractional order sis epidemic model with specific nonlinear incidence rate and time delay

Mouhcine Naim, Ghassane Benrhmach, Fouad Lahmidi, Abdelwahed Namir

Abstract

In this paper, we study the stability of a fractional order SIS epidemic model with specific functional response and time delay, where the fractional derivative is defined in the Caputo sense. Using the theory of stability of differential equations of delayed fractional order systems, we prove that the disease-free equilibrium is locally asymptotically stable when the basic reproduction number R0 < 1. Also, we show that if R0 > 1, the endemic equilibrium is locally asymptotically stable. Numerical simulations are presented to illustrate the theoretical results of this work.

Published
14 April 2021
Volume
2021 (2021)
License
CC BY 3.0

Copyright © 2021 Mouhcine Naim, Ghassane Benrhmach, Fouad Lahmidi, Abdelwahed Namir. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article

M. Naim, G. Benrhmach, F. Lahmidi, A. Namir, Local stability of a fractional order sis epidemic model with specific nonlinear incidence rate and time delay, Commun. Math. Biol. Neurosci. 2021 (2021), 33. https://doi.org/10.28919/cmbn/4409

BibTeX
@article{Naim2021,
  author  = {Naim, Mouhcine and Benrhmach, Ghassane and Lahmidi, Fouad and Namir, Abdelwahed},
  title   = {Local stability of a fractional order sis epidemic model with specific nonlinear incidence rate and time delay},
  journal = {Commun. Math. Biol. Neurosci.},
  volume  = {2021},
  year    = {2021},
  pages   = {33},
  doi     = {10.28919/cmbn/4409}
}