An Efficient Numerical Method for the Solution of the Polio Virus (Poliomyelitis) Epidemic Model with the Role of Vaccination

  • Muhammad Rafique Department of Mathematics, Faculty of Sciences, University of Central Punjab, Lahore, Pakistan
  • Naveed Shahid Department of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan
  • Nauman Ahmed Department of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan
  • Tahira Sumbal Shaikh Department of Mathematics, Lahore College for Women University, Lahore, Pakistan
  • Muhammad Asif Department of Mathematics, Lahore College for Women University, Lahore, Pakistan
  • Muhammad Ozair Ahmad Department of Mathematics & Statistics, Minhaj University, Lahore, Pakistan
Keywords: convergence, mathematical modeling, Non-Standard Finite Difference (NSFD) method, polio virus, vaccination

Abstract

Abstract Views: 255

Mathematical modeling of a communicable disease is an effective way to describe the behavior and dynamics of the disease. It builds on our understanding of the transmission of a contagion in a population. In this paper, we explore the transmission dynamics of the polio virus (poliomyelitis) with vaccination using standard methods. We formulate an unconditionally stable Non-Standard Finite Difference (NSFD) scheme for a continuous system of the epidemic polio virus. The designed scheme to approximate the solution is bounded, consistent with the underlying model. The proposed numerical scheme preserves the positivity of the stated variables which is necessary for any population dynamical system. It is used to calculate the numerical solutions of the epidemic model for different step sizes “h”. Two other numerical schemes are enforced to find the solution of the proposed system. Finally, the comparison of the NSFD technique with these methods proves its validity and effectiveness.

Copyright (c) The Author

Downloads

Download data is not yet available.

References

Adu F, Iber J, Bukbuk D, et al. Isolation of recombinant type 2 vaccine-derived poliovirus (VDPV) from a Nigerian child. Virus Res. 2007 Jul 1;127(1):17-25. https://doi.org/10.1016/j.virusres.2007.03.009

Agarwal M, Bhadauria AS. Modeling spread of polio with the role of vaccination. Appl Appl Math Int J. 2011;6(2):552-71.

Bunimovich-Mendrazitsky S, Stone L. Modeling polio as a disease of development. J Theoretical Bio. 2005 Dec 7;237(3):302-15. https://doi.org/10.1016/j.jtbi.2005.04.017

Okonek BM. Development of polio vaccines. 2001. www.accessexcellence.org/AE/AEC/CC/polio.html

Wheeler MF, Volk WA. Basic Microbiology. Lippincott; 1969. https://www.worldcat.org/title/basic-microbiology/oclc/598552504

Dutta A. Epidemiology of poliomyelitis—options and update. Vaccine. 2008 Oct 23;26(45):5767-73. https://doi.org/10.1016/j.vaccine.2008.07.101

Physicians D, Montvale NJ. Medical Economics. 2001:778-785.

Frank MacFarlane Burnet S, Burnet FM, et al. Natural History of Infectious Disease. CUP Archive; 1972 Aug 24.

Neustaedter R. The Vaccine Guide. Making an Informed Choice Berkeley, California. 1996;152:107-108.

BabyCenter. The Polio Vaccine. http://www.babycenter.com/0_the-polio-vaccine_1566.bc

The history of Vaccine. History of Polio (Poliomyelitis) http://www.historyofvaccines.org/content/articles/history-polio-poliomyelitis

Moskowitz T. Immunizations the Other Side. Mothering Spring.1984.

Monto AS. Francis field trial of inactivated poliomyelitis vaccine: background and lessons for today. Epidemiol Rev. 1999 Jan 1;21(1):7-23.

Strebel PM, Sutter RW, Cochi SL, et al. Epidemiology of poliomyelitis in the United States one decade after the last reported case of indigenous wild virus-associated disease. Clin Infect Pract. 1992 Feb 1;14(2):568-79. https://doi.org/10.1093/clinids/14.2.568

Polio Global education initiative. History of Polio. http://www.polioeradication.org/ polioandprevention/Historyofpolio.aspx

Rizwan K, Islam M. Change in strategies of training lead toward effective implementation of polio eradication program in Pakistan, does it matter? Merit Res J Edu, 2013;2:8-13.

May RM. Stability and Complexity in Model Ecosystems. Princeton university press; 2019 Dec 31.

Katz R, Graeden E, Abe K, Attal-Juncqua A, Boyce MR, Eaneff S. Mapping stakeholders and policies in response to deliberate biological events. Heliyon. 2018 Dec 1;4(12):e01091. https://doi.org/10.1016/j.heliyon.2018.e01091

Ahmed N, Shahid N, Iqbal Z, et al. Numerical modeling of SEIQV epidemic model with saturated incidence rate. J Appl Environ Bio Sci. 2018;8(4):67-82.

Ahmed N, Tahira SS, Rafiq M, et al. Positivity preserving operator splitting nonstandard finite difference methods for SEIR reaction diffusion model. Open Math. 2019 Apr 29;17(1):313-30.

Piyawong W, Twizell EH, Gumel AB. An unconditionally convergent finite-difference scheme for the SIR model. Appl Math Comput. 2003 Dec 31;146(2-3):611-25. https://doi.org/10.1016/S0096-3003(02)00607-0

Published
2020-12-31
How to Cite
1.
Rafique M, Shahid N, Ahmed N, Shaikh TS, Asif M, Ahmad MO. An Efficient Numerical Method for the Solution of the Polio Virus (Poliomyelitis) Epidemic Model with the Role of Vaccination. Sci Inquiry Rev. [Internet]. 2020Dec.31 [cited 2024Nov.21];4(4):15-0. Available from: https://journals.umt.edu.pk/index.php/SIR/article/view/1052
Section
Orignal Article