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Nonstandard finite difference scheme for SIRS epidemic model with disease-related death

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

It is well known that SIRS epidemic with disease-related death can be described by a system of nonlinear ordinary differential equations (NL ODEs). This model has two equilibrium points where their existence and stability properties are determined by the basic reproduction number [1]. Besides the qualitative properties, it is also often needed to solve the system of NL ODEs. Euler method and 4th order Runge-Kutta (RK4) method are often used to solve the system of NL ODEs. However, both methods may produce inconsistent qualitative properties of the NL ODEs such as converging to wrong equilibrium point, etc. In this paper we apply non-standard finite difference (NSFD) scheme (see [2,3]) to approximate the solution of SIRS epidemic model with disease-related death. It is shown that the discrete system obtained by NSFD scheme is dynamically consistent with the continuous model. By our numerical simulations, we find that the solutions of NSFD scheme are always positive, bounded and convergent to the correct equilibrium point for any step size of integration (h), while those of Euler or RK4 method have the same properties only for relatively small h.

Original languageEnglish
Title of host publicationSymposium on Biomathematics, SYMOMATH 2015
EditorsMochamad Apri, Yasuhiro Takeuchi
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735413702
DOIs
Publication statusPublished - 6 Apr 2016
EventSymposium on Biomathematics, SYMOMATH 2015 - Bandung, Indonesia
Duration: 4 Nov 20156 Nov 2015

Publication series

NameAIP Conference Proceedings
Volume1723
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceSymposium on Biomathematics, SYMOMATH 2015
Country/TerritoryIndonesia
CityBandung
Period4/11/156/11/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Dynamically consistent
  • Non-standard finite difference scheme
  • SIRS epidemic model

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