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An unconditionally positive and global stability preserving NSFD scheme for an epidemic model with vaccination

  • Harbin Institute of Technology Weihai

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a Non Standard Finite Difference (NSFD) scheme is constructed, which can be used to determine numerical solutions for an epidemic model with vaccination. Here the NSFD method is employed to derive a set of difference equations for the epidemic model with vaccination. We show that difference equations have the same dynamics as the original differential system, such as the positivity of the solutions and the stability of the equilibria, without being restricted by the time step. Our proof of global stability utilizes the method of Lyapunov functions. Numerical simulation illustrates the effectiveness of our results.

Original languageEnglish
Pages (from-to)635-646
Number of pages12
JournalInternational Journal of Applied Mathematics and Computer Science
Volume24
Issue number3
DOIs
StatePublished - 1 Sep 2014
Externally publishedYes

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

  • Lyapunov function
  • nonstandard finite differences
  • stability
  • unconditional positivity

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