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Commun. Math. Biol. Neurosci. 2023 (2023), Article ID 56

Global stability of a fractional-order eco-epidemiological model with infected predator: theoretical analysis

Mahmoud Moustafa, Farah Aini Abdullah, Sharidan Shafie, Nur Ardiana Amirsom

Abstract

A theoretical knowledge of the global stability of an eco-epidemiological model is not only important in itself but is also important in understanding the results of numerical simulations. In this paper the global stability of a fractional-order eco-epidemiological model with infected predator and harvesting is investigated using the Lyapunov function.

Published
29 May 2023
Volume
2023 (2023)
License
CC BY 3.0

Copyright © 2023 Mahmoud Moustafa, Farah Aini Abdullah, Sharidan Shafie, Nur Ardiana Amirsom. 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. Moustafa, F. A. Abdullah, S. Shafie, N. A. Amirsom, Global stability of a fractional-order eco-epidemiological model with infected predator: theoretical analysis, Commun. Math. Biol. Neurosci. 2023 (2023), 56. https://doi.org/10.28919/cmbn/7977

BibTeX
@article{Moustafa2023,
  author  = {Moustafa, Mahmoud and Abdullah, Farah Aini and Shafie, Sharidan and Amirsom, Nur Ardiana},
  title   = {Global stability of a fractional-order eco-epidemiological model with infected predator: theoretical analysis},
  journal = {Commun. Math. Biol. Neurosci.},
  volume  = {2023},
  year    = {2023},
  pages   = {56},
  doi     = {10.28919/cmbn/7977}
}