一个具有非恒定单核细胞产生率的登革热感染的广义宿主模型。

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2020-12-01 DOI:10.1080/17513758.2020.1733678
Jeremy J Thibodeaux, Daniel Nuñez, Andres Rivera
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引用次数: 5

摘要

在本文中,我们推广了先前的宿主内登革热感染模型,该模型具有非恒定的单核细胞生产速率。我们建立了三个平衡点的存在性,并给出了一些局部稳定性的结果。然后,我们根据2型登革热病毒的临床数据估计模型中的三个参数。然后表明,该模型可以表现出在假设恒定的单核细胞生产下不可能出现的行为。最后,我们对模型在抗病毒治疗和免疫刺激治疗两种情况下的敏感性进行了分析。结果预测,降低感染单核细胞中病毒复制率的抗病毒治疗是最有效的,而增加感染单核细胞移除率的免疫刺激治疗是最好的。
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A generalized within-host model of dengue infection with a non-constant monocyte production rate.

In this paper, we generalize a previous model of within-host dengue infection with a nonconstant monocyte production rate. We establish the existence of three equilibria and give some local stability results. We then estimate three parameters in the model from clinical data for dengue virus serotype 2. It is then shown that the model can exhibit behaviours that are not possible under the assumption of constant monocyte production. Lastly, we perform a sensitivity analysis of the model in two contexts, antiviral treatment and immunostimulatory treatment. The results predict that antiviral treatments that reduce the viral replication rate in infected monocytes are the most effective, while immunostimulatory treatments that increase the rate at which infected monocytes are removed are best.

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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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