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Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics

This work is concerned with the numerical modeling of susceptible-latent-breakingout-quarantine-susceptible (SLBQRS) computer virus dynamics. The SLBQRS epidemic system is solved with three finite difference methods, one is proposed nonstandard finite difference (NSFD) method and the other two are w...

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Detalles Bibliográficos
Autores principales: Fatima, Umbreen, Ali, Mubasher, Ahmed, Nauman, Rafiq, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5986544/
https://www.ncbi.nlm.nih.gov/pubmed/29872764
http://dx.doi.org/10.1016/j.heliyon.2018.e00631
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author Fatima, Umbreen
Ali, Mubasher
Ahmed, Nauman
Rafiq, M.
author_facet Fatima, Umbreen
Ali, Mubasher
Ahmed, Nauman
Rafiq, M.
author_sort Fatima, Umbreen
collection PubMed
description This work is concerned with the numerical modeling of susceptible-latent-breakingout-quarantine-susceptible (SLBQRS) computer virus dynamics. The SLBQRS epidemic system is solved with three finite difference methods, one is proposed nonstandard finite difference (NSFD) method and the other two are well known forward Euler finite difference (FD) method and Runge-Kutta finite difference method of order 4 (RK-4). The proposed NSFD method preserves all the essential conditions of the continuous system while RK-4 method and forward Euler method fail to preserve some of its essential conditions like positivity, convergence to the true steady states of the continuous system. The convergence analysis of the proposed NSFD method is also performed. Bifurcation value of infection coefficient for the system is also find out.
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spelling pubmed-59865442018-06-05 Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics Fatima, Umbreen Ali, Mubasher Ahmed, Nauman Rafiq, M. Heliyon Article This work is concerned with the numerical modeling of susceptible-latent-breakingout-quarantine-susceptible (SLBQRS) computer virus dynamics. The SLBQRS epidemic system is solved with three finite difference methods, one is proposed nonstandard finite difference (NSFD) method and the other two are well known forward Euler finite difference (FD) method and Runge-Kutta finite difference method of order 4 (RK-4). The proposed NSFD method preserves all the essential conditions of the continuous system while RK-4 method and forward Euler method fail to preserve some of its essential conditions like positivity, convergence to the true steady states of the continuous system. The convergence analysis of the proposed NSFD method is also performed. Bifurcation value of infection coefficient for the system is also find out. Elsevier 2018-05-21 /pmc/articles/PMC5986544/ /pubmed/29872764 http://dx.doi.org/10.1016/j.heliyon.2018.e00631 Text en © 2018 The Authors. Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Fatima, Umbreen
Ali, Mubasher
Ahmed, Nauman
Rafiq, M.
Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics
title Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics
title_full Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics
title_fullStr Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics
title_full_unstemmed Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics
title_short Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics
title_sort numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5986544/
https://www.ncbi.nlm.nih.gov/pubmed/29872764
http://dx.doi.org/10.1016/j.heliyon.2018.e00631
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