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Modeling the intracellular pathogen-immune interaction with cure rate

机译:模拟治愈率的细胞内病原体-免疫相互作用

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Many common and emergent infectious diseases like Influenza, SARS, Hepatitis, Ebola etc. are caused by viral pathogens. These infections can be controlled or prevented by understanding the dynamics of pathogen-immune interaction in vivo. In this paper, interaction of pathogens with uninfected and infected cells in presence or absence of immune response are considered in four different cases. In the first case, the model considers the saturated nonlinear infection rate and linear cure rate without absorption of pathogens into uninfected cells and without immune response. The next model considers the effect of absorption of pathogens into uninfected cells while all other terms are same as in the first case. The third model incorporates innate immune response, humoral immune response and Cytotoxic T lymphocytes (CTL) mediated immune response with cure rate and without absorption of pathogens into uninfected cells. The last model is an extension of the third model in which the effect of absorption of pathogens into uninfected cells has been considered. Positivity and boundedness of solutions are established to ensure the well-posedness of the problem. It has been found that all the four models have two equilibria, namely, pathogen-free equilibrium point and pathogen-present equilibrium point. In each case, stability analysis of each equilibrium point is investigated. Pathogen-free equilibrium is globally asymptotically stable when basic reproduction number is less or equal to unity. This implies that control or prevention of infection is independent of initial concentration of uninfected cells, infected cells, pathogens and immune responses in the body. The proposed models show that introduction of immune response and cure rate strongly affects the stability behavior of the system. Further, on computing basic reproduction number, it has been found to be minimum for the fourth model vis-a-vis other models. The analytical findings of each model have been exemplified by numerical simulations. (c) 2016 Elsevier B.V. All rights reserved.
机译:病毒病原体引起许多常见的和新兴的传染病,例如流感,SARS,肝炎,埃博拉等。通过了解体内病原体与免疫相互作用的动态,可以控制或预防这些感染。在本文中,考虑了四种不同情况下病原体与未感染细胞和感染细胞在存在或不存在免疫反应时的相互作用。在第一种情况下,模型考虑了饱和的非线性感染率和线性治愈率,而没有病原体吸收到未感染的细胞中并且没有免疫反应。下一个模型考虑了病原体吸收到未感染细胞中的影响,而所有其他术语与第一种情况相同。第三个模型结合了先天免疫应答,体液免疫应答和细胞毒性T淋巴细胞(CTL)介导的免疫应答,治愈率高,并且病原体不会吸收到未感染的细胞中。最后一个模型是第三个模型的扩展,其中考虑了病原体吸收到未感染细胞中的作用。建立了解决方案的积极性和有界性以确保问题的正确性。已经发现,所有四个模型都具有两个平衡点,即无病原体平衡点和病原体存在平衡点。在每种情况下,都将研究每个平衡点的稳定性分析。当基本繁殖数小于或等于1时,无病原体平衡在全局渐近稳定。这意味着感染的控制或预防与体内未感染细胞,感染细胞,病原体和免疫反应的初始浓度无关。所提出的模型表明,免疫反应和治愈率的引入强烈影响系统的稳定性。此外,在计算基本再现数时,已经发现第四模型相对于其他模型是最小的。每个模型的分析结果已通过数值模拟进行了举例说明。 (c)2016 Elsevier B.V.保留所有权利。

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