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Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation
We consider a class of viral infection dynamic models with inhibitory effect on the growth of uninfected T cells caused by infected T cells and logistic target cell growth. The basic reproduction number R(0) is derived. It is shown that the uninfected equilibrium is globally asymptotically stable if...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525856/ https://www.ncbi.nlm.nih.gov/pubmed/31191708 http://dx.doi.org/10.1155/2018/3176893 |
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author | Ji, Yahui Ma, Wanbiao Song, Keying |
author_facet | Ji, Yahui Ma, Wanbiao Song, Keying |
author_sort | Ji, Yahui |
collection | PubMed |
description | We consider a class of viral infection dynamic models with inhibitory effect on the growth of uninfected T cells caused by infected T cells and logistic target cell growth. The basic reproduction number R(0) is derived. It is shown that the uninfected equilibrium is globally asymptotically stable if R(0) < 1. Sufficient conditions for the existence of Hopf bifurcation at the infected equilibrium are investigated by analyzing the distribution of eigenvalues. Furthermore, the properties of Hopf bifurcation are determined by the normal form theory and the center manifold. Numerical simulations are carried out to support the theoretical analysis. |
format | Online Article Text |
id | pubmed-6525856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-65258562019-06-12 Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation Ji, Yahui Ma, Wanbiao Song, Keying Comput Math Methods Med Research Article We consider a class of viral infection dynamic models with inhibitory effect on the growth of uninfected T cells caused by infected T cells and logistic target cell growth. The basic reproduction number R(0) is derived. It is shown that the uninfected equilibrium is globally asymptotically stable if R(0) < 1. Sufficient conditions for the existence of Hopf bifurcation at the infected equilibrium are investigated by analyzing the distribution of eigenvalues. Furthermore, the properties of Hopf bifurcation are determined by the normal form theory and the center manifold. Numerical simulations are carried out to support the theoretical analysis. Hindawi 2018-08-12 /pmc/articles/PMC6525856/ /pubmed/31191708 http://dx.doi.org/10.1155/2018/3176893 Text en Copyright © 2018 Yahui Ji et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ji, Yahui Ma, Wanbiao Song, Keying Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation |
title | Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation |
title_full | Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation |
title_fullStr | Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation |
title_full_unstemmed | Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation |
title_short | Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation |
title_sort | modeling inhibitory effect on the growth of uninfected t cells caused by infected t cells: stability and hopf bifurcation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525856/ https://www.ncbi.nlm.nih.gov/pubmed/31191708 http://dx.doi.org/10.1155/2018/3176893 |
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