Numerical and stability analysis of the transmission dynamics of SVIR epidemic model with standard incidence rate / Ogunmiloro O.M., Abedo F.O., and Kareem H.A.

Ogunmiloro, O.M. and Abedo, F.O. and Kareem, H.A. (2019) Numerical and stability analysis of the transmission dynamics of SVIR epidemic model with standard incidence rate / Ogunmiloro O.M., Abedo F.O., and Kareem H.A. Malaysian Journal of Computing (MJoC), 4 (2): 8. pp. 349-361. ISSN 2600-8238

Abstract

In this article, a Susceptible – Vaccinated – Infected – Recovered (SVIR) model is formulated and analysed using comprehensive mathematical techniques. The vaccination class is primarily considered as means of controlling the disease spread. The basic reproduction number (Ro) of the model is obtained, where it was shown that if Ro<1, at the model equilibrium solutions when infection is present and absent, the infection- free equilibrium is both locally and globally asymptotically stable. Also, if Ro>1, the endemic equilibrium solution is locally asymptotically stable. Furthermore, the analytical solution of the model was carried out using the Differential Transform Method (DTM) and Runge - Kutta fourth-order method. Numerical simulations were carried out to validate the theoretical results.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Ogunmiloro, O.M.
oluwatayo.ogunmiloro@esku.edu.ng
Abedo, F.O.
UNSPECIFIED
Kareem, H.A.
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analysis
Journal or Publication Title: Malaysian Journal of Computing (MJoC)
UiTM Journal Collections: UiTM Journal > Malaysian Journal of Computing (MJoC)
ISSN: 2600-8238
Volume: 4
Number: 2
Page Range: pp. 349-361
Keywords: SVIR epidemic model; reproduction number; local stability; global stability; DTM; Runge-Kutta
Date: December 2019
URI: https://ir.uitm.edu.my/id/eprint/61452
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