Asymptotic stability analysis of a fractional epidemic model for Ebola virus disease in Caputo sense
Keywords:
Mathematical model, Fractional order, Caputo derivative operator, Ebola virus disease, Lyapunov stabilityAbstract
In this work, a non-integer-order epidemic system modelling the nonlinear dynamics of Ebola virus disease is formulated in the sense of Caputo-ractional derivative. The existence and uniqueness of solution of the model is established. More importantly, the theoretical analysis carried out is aimed at establishing the local and global asymptotic stability properties of the disease-free steady state of the epidemic model using the fractional Routh-Hurwitz criterion and Lyapunov functional technique, respectively. It is proved that the steady state is locally and globally asymptotically stable at the value of the key epidemiological threshold quantity lower than unity. The result is numerically validated for different values of fractional order to show the asymptotic behavior of the disease dynamics. This result is significant for fighting and preventing Ebola epidemic in the population, since the Caputo derivative operator allows for effective description of the disease dynamics with memory, where the future evolution of the disease is governed by its prior history.
Published
How to Cite
Issue
Section
Copyright (c) 2024 Samson Olaniyi, Fuhara M. Chuma, Sulaimon F. Abimbade

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Raphael Ozighor Enihe, Rajesh Prasad, Francisca Nonyelum Ogwueleka, Fatimah Binta Abdullahi, The effect of imbalance data mitigation techniques on cardiovascular disease prediction , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 2, May 2025
- Kanak Saini, Monika Saini, Ashish Kumar, Dinesh Kumar Saini, Availability predictions of solar power plants using multiple regression and neural networks: an analytical study , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 2, May 2025
- Nour Hamad Abu Afouna, Majid Khan Majahar Ali, Optimizing precision farming: enhancing machine learning efficiency with robust regression techniques in high-dimensional data , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- Chuchu Liang, Majid Khan Majahar Ali, Lili Wu, A novel multi-class classification method for arrhythmias using Hankel dynamic mode decomposition and long short-term memory networks , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 2, May 2025
- Waheed B. Yahya, Yusuf Bello, Abdulrazaq AbdulRaheem, Model Fitness and Predictive Accuracy in Linear Mixed-Effects Models with Latent Clusters , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 3, August 2023
- Richard O. Akinola, Ezekiel O. Omole, Joshua Sunday, Stephen Y. Kutchin, A ninth-order first derivative method for numerical integration , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- V. J. Shaalini, S. E. Fadugba, A New Multi-Step Method for Solving Delay Differential Equations using Lagrange Interpolation , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 3, August 2021
- G. A. Shewa, F. I. Ugwuowo, Combating the Multicollinearity in Bell Regression Model: Simulation and Application , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 3, August 2022
- M. O. Ogunniran, A Class of Block Multi-derivative Numerical Techniques for Singular Advection Equations , Journal of the Nigerian Society of Physical Sciences: Volume 1, Issue 2, May 2019
- Benson Ade Eniola Afere, On the fourth-order hybrid beta polynomial kernels in kernel density estimation , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 1, February 2024
You may also start an advanced similarity search for this article.

