SEMI ANALYTIC METHOD FOR SOLVING INFECTIOUS DISEASE MODEL

Authors

  • A.F. Adebisi Department of Mathematical Sciences, Osun State University, Oshogbo,
  • O.J. Peter Department of Mathematics, University of Ilorin, Ilorin, Kwara State,
  • T.A. Ayoola Department of Mathematical Sciences, Osun State University, Oshogbo,
  • A.A. Ayoade Department of Mathematics, University of Ilorin, Ilorin, Kwara State,
  • O.E. Faniyi Department of Mathematics, University of Ilorin, Ilorin, Kwara State,
  • A.B. Ganiyu Department of Mathematics, University of Ilorin, Ilorin, Kwara State,

Abstract

In this paper, we present a deterministic model that captures the essential dynamics of infectious diseases. Differential Transform Method (DTM) is applied to attempt the series solution of the model. The efficiency of the DTM in solving the model is confirmed by classical fourth-order Runge-Kutta method implemented in Maple 18. The comparisons between the DTM and Runge-Kutta (RK4) solutions were made and there exists positive correlation between the results obtained by the two methods. The outcome of comparison between the DTM and RK4   validates the potential of the DTM in coping with the analysis of modern epidemics.

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Published

2019-03-31

Issue

Vol. 14 No. 1 (2019)

Section

ARTICLES