Dynamics of the Hantavirus infection through variational iteration method

Su Mei Goh, A. I M Ismail, M. S M Noorani, I. Hashim

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

This paper studies the dynamics of the Hantavirus infection model, which was originally developed by Abramson and Kenkre [G. Abramson, V.M. Kenkre, Spatiotemporal patterns in the hantavirus infection, Phys. Rev. E 66 (2002) 011912], by using a simple analytical method called the variational iteration method or VIM. The results obtained by the variational iteration method are compared with the classical Runge-Kutta method (fourth-order) to gauge its effectiveness. Numerical values from these analyses provide us with some useful observation on the behaviour of the infection subjected to certain conditions.

Original languageEnglish
Pages (from-to)2171-2176
Number of pages6
JournalNonlinear Analysis: Real World Applications
Volume10
Issue number4
DOIs
Publication statusPublished - 01 Aug 2009

Fingerprint

Hantavirus Infections
Variational Iteration Method
Runge Kutta methods
Gages
Infection
Spatio-temporal Patterns
Runge-Kutta Methods
Analytical Methods
Fourth Order
Gauge
Model

All Science Journal Classification (ASJC) codes

  • Analysis
  • Applied Mathematics
  • Computational Mathematics
  • Engineering(all)
  • Medicine(all)
  • Economics, Econometrics and Finance(all)

Cite this

Goh, Su Mei ; Ismail, A. I M ; Noorani, M. S M ; Hashim, I. / Dynamics of the Hantavirus infection through variational iteration method. In: Nonlinear Analysis: Real World Applications. 2009 ; Vol. 10, No. 4. pp. 2171-2176.
@article{714f0a4769604aba859dfdbe75422d68,
title = "Dynamics of the Hantavirus infection through variational iteration method",
abstract = "This paper studies the dynamics of the Hantavirus infection model, which was originally developed by Abramson and Kenkre [G. Abramson, V.M. Kenkre, Spatiotemporal patterns in the hantavirus infection, Phys. Rev. E 66 (2002) 011912], by using a simple analytical method called the variational iteration method or VIM. The results obtained by the variational iteration method are compared with the classical Runge-Kutta method (fourth-order) to gauge its effectiveness. Numerical values from these analyses provide us with some useful observation on the behaviour of the infection subjected to certain conditions.",
author = "Goh, {Su Mei} and Ismail, {A. I M} and Noorani, {M. S M} and I. Hashim",
year = "2009",
month = "8",
day = "1",
doi = "10.1016/j.nonrwa.2008.03.025",
language = "English",
volume = "10",
pages = "2171--2176",
journal = "Nonlinear Analysis: Real World Applications",
issn = "1468-1218",
publisher = "Elsevier BV",
number = "4",

}

Dynamics of the Hantavirus infection through variational iteration method. / Goh, Su Mei; Ismail, A. I M; Noorani, M. S M; Hashim, I.

In: Nonlinear Analysis: Real World Applications, Vol. 10, No. 4, 01.08.2009, p. 2171-2176.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Dynamics of the Hantavirus infection through variational iteration method

AU - Goh, Su Mei

AU - Ismail, A. I M

AU - Noorani, M. S M

AU - Hashim, I.

PY - 2009/8/1

Y1 - 2009/8/1

N2 - This paper studies the dynamics of the Hantavirus infection model, which was originally developed by Abramson and Kenkre [G. Abramson, V.M. Kenkre, Spatiotemporal patterns in the hantavirus infection, Phys. Rev. E 66 (2002) 011912], by using a simple analytical method called the variational iteration method or VIM. The results obtained by the variational iteration method are compared with the classical Runge-Kutta method (fourth-order) to gauge its effectiveness. Numerical values from these analyses provide us with some useful observation on the behaviour of the infection subjected to certain conditions.

AB - This paper studies the dynamics of the Hantavirus infection model, which was originally developed by Abramson and Kenkre [G. Abramson, V.M. Kenkre, Spatiotemporal patterns in the hantavirus infection, Phys. Rev. E 66 (2002) 011912], by using a simple analytical method called the variational iteration method or VIM. The results obtained by the variational iteration method are compared with the classical Runge-Kutta method (fourth-order) to gauge its effectiveness. Numerical values from these analyses provide us with some useful observation on the behaviour of the infection subjected to certain conditions.

UR - http://www.scopus.com/inward/record.url?scp=61749098900&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=61749098900&partnerID=8YFLogxK

U2 - 10.1016/j.nonrwa.2008.03.025

DO - 10.1016/j.nonrwa.2008.03.025

M3 - Article

VL - 10

SP - 2171

EP - 2176

JO - Nonlinear Analysis: Real World Applications

JF - Nonlinear Analysis: Real World Applications

SN - 1468-1218

IS - 4

ER -