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Dynamics analysis of a delayed virus model with two different transmission methods and treatments
In this paper, a delayed virus model with two different transmission methods and treatments is investigated. This model is a time-delayed version of the model in (Zhang et al. in Comput. Math. Methods Med. 2015:758362, 2015). We show that the virus-free equilibrium is locally asymptotically stable i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7100214/ https://www.ncbi.nlm.nih.gov/pubmed/32226454 http://dx.doi.org/10.1186/s13662-019-2438-0 |
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author | Zhang, Tongqian Wang, Junling Li, Yuqing Jiang, Zhichao Han, Xiaofeng |
author_facet | Zhang, Tongqian Wang, Junling Li, Yuqing Jiang, Zhichao Han, Xiaofeng |
author_sort | Zhang, Tongqian |
collection | PubMed |
description | In this paper, a delayed virus model with two different transmission methods and treatments is investigated. This model is a time-delayed version of the model in (Zhang et al. in Comput. Math. Methods Med. 2015:758362, 2015). We show that the virus-free equilibrium is locally asymptotically stable if the basic reproduction number is smaller than one, and by regarding the time delay as a bifurcation parameter, the existence of local Hopf bifurcation is investigated. The results show that time delay can change the stability of the endemic equilibrium. Finally, we give some numerical simulations to illustrate the theoretical findings. |
format | Online Article Text |
id | pubmed-7100214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-71002142020-03-27 Dynamics analysis of a delayed virus model with two different transmission methods and treatments Zhang, Tongqian Wang, Junling Li, Yuqing Jiang, Zhichao Han, Xiaofeng Adv Differ Equ Research In this paper, a delayed virus model with two different transmission methods and treatments is investigated. This model is a time-delayed version of the model in (Zhang et al. in Comput. Math. Methods Med. 2015:758362, 2015). We show that the virus-free equilibrium is locally asymptotically stable if the basic reproduction number is smaller than one, and by regarding the time delay as a bifurcation parameter, the existence of local Hopf bifurcation is investigated. The results show that time delay can change the stability of the endemic equilibrium. Finally, we give some numerical simulations to illustrate the theoretical findings. Springer International Publishing 2020-01-06 2020 /pmc/articles/PMC7100214/ /pubmed/32226454 http://dx.doi.org/10.1186/s13662-019-2438-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Zhang, Tongqian Wang, Junling Li, Yuqing Jiang, Zhichao Han, Xiaofeng Dynamics analysis of a delayed virus model with two different transmission methods and treatments |
title | Dynamics analysis of a delayed virus model with two different transmission methods and treatments |
title_full | Dynamics analysis of a delayed virus model with two different transmission methods and treatments |
title_fullStr | Dynamics analysis of a delayed virus model with two different transmission methods and treatments |
title_full_unstemmed | Dynamics analysis of a delayed virus model with two different transmission methods and treatments |
title_short | Dynamics analysis of a delayed virus model with two different transmission methods and treatments |
title_sort | dynamics analysis of a delayed virus model with two different transmission methods and treatments |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7100214/ https://www.ncbi.nlm.nih.gov/pubmed/32226454 http://dx.doi.org/10.1186/s13662-019-2438-0 |
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