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免疫抑制感染模型中的余维一分岔与稳定性分析

Codimension-one bifurcation and stability analysis in an immunosuppressive infection model.

作者信息

Dadi Zohreh, Alizade Samira

机构信息

Department of Mathematics, University of Bojnord, Bojnord, Islamic Republic of Iran.

Department of Mathematics, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran.

出版信息

Springerplus. 2016 Feb 1;5:106. doi: 10.1186/s40064-016-1737-0. eCollection 2016.

DOI:10.1186/s40064-016-1737-0
PMID:26877904
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4735110/
Abstract

One of the important medical problems is infectious diseases such as HIV and hepatitis which annually causes the death of many people. So it is important to study infectious diseases parametric models. In this paper, we investigate differential equations system of HIV and hepatitis (with delay and without delay) from the stability and codimension-one bifurcation point of view. We show that their dynamical behaviour will change when the parameters vary. We prove that this model has a saddle-node bifurcation and transcritical bifurcation when the delay parameter is absent. Also by using the center manifold theory, we show that the delay model has a saddle-node bifurcation.

摘要

重要的医学问题之一是诸如艾滋病毒和肝炎等传染病,这些传染病每年导致许多人死亡。因此,研究传染病参数模型很重要。在本文中,我们从稳定性和余维一分岔点的角度研究艾滋病毒和肝炎的微分方程组(有延迟和无延迟)。我们表明,当参数变化时,它们的动力学行为会发生变化。我们证明,当不存在延迟参数时,该模型具有鞍结分岔和跨临界分岔。此外,通过使用中心流形理论,我们表明延迟模型具有鞍结分岔。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f8c/4735110/9024884304d0/40064_2016_1737_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f8c/4735110/933621f177e2/40064_2016_1737_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f8c/4735110/f90ea40348c1/40064_2016_1737_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f8c/4735110/9024884304d0/40064_2016_1737_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f8c/4735110/933621f177e2/40064_2016_1737_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f8c/4735110/f90ea40348c1/40064_2016_1737_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f8c/4735110/9024884304d0/40064_2016_1737_Fig3_HTML.jpg

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本文引用的文献

1
On the mathematical analysis of Ebola hemorrhagic fever: deathly infection disease in West African countries.关于埃博拉出血热的数学分析:西非国家的致命传染病
Biomed Res Int. 2014;2014:261383. doi: 10.1155/2014/261383. Epub 2014 Sep 11.
2
Sustained and transient oscillations and chaos induced by delayed antiviral immune response in an immunosuppressive infection model.免疫抑制感染模型中延迟抗病毒免疫反应诱导的持续振荡、瞬态振荡和混沌
J Math Biol. 2014 Jan;68(1-2):477-503. doi: 10.1007/s00285-012-0639-1. Epub 2013 Jan 11.
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Pathogen responses to host immunity: the impact of time delays and memory on the evolution of virulence.
病原体对宿主免疫的反应:时间延迟和记忆对毒力进化的影响。
Proc Biol Sci. 2006 Aug 22;273(1597):2083-90. doi: 10.1098/rspb.2006.3552.
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Boosting immunity by antiviral drug therapy: a simple relationship among timing, efficacy, and success.通过抗病毒药物治疗增强免疫力:时机、疗效与成功之间的简单关系。
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