确定寨卡病毒宿主内和媒介内模型的可靠参数估计。

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2021-12-01 DOI:10.1080/17513758.2021.1970261
Necibe Tuncer, Maia Martcheva
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引用次数: 7

摘要

本文介绍了寨卡病毒的三种宿主内模型和一种媒介内模型。宿主内模型包括靶细胞受限模型、NK细胞类靶细胞受限模型和妊娠个体宿主-胎儿内模型。媒介内模型包括寨卡病毒在中肠和唾液腺中的动态。关于病毒载量和NK细胞计数的数据,宿主内模型在结构上无法识别。重新缩放后的主机内模型在局部结构上是可识别的。关于中肠和唾液腺的病毒血症数据,载体内模型在结构上是可识别的。利用蒙特卡罗模拟,我们发现靶细胞有限模型实际上可以从病毒血症数据中识别出来;NK细胞类别的靶细胞有限模型除了半饱和常数被重新缩放外,几乎是可识别的。在没有胎儿数据的情况下,内宿主内胎儿模型中所有与胎儿相关的参数都无法实际识别,并且重新缩放的半饱和常数也无法实际识别。其余参数实际上是可识别的。最后,我们发现向量内模型的参数没有一个是实际可识别的。
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Determining reliable parameter estimates for within-host and within-vector models of Zika virus.

In this paper, we introduce three within-host and one within-vector models of Zika virus. The within-host models are the target cell limited model, the target cell limited model with natural killer (NK) cells class, and a within-host-within-fetus model of a pregnant individual. The within-vector model includes the Zika virus dynamics in the midgut and salivary glands. The within-host models are not structurally identifiable with respect to data on viral load and NK cell counts. After rescaling, the scaled within-host models are locally structurally identifiable. The within-vector model is structurally identifiable with respect to viremia data in the midgut and salivary glands. Using Monte Carlo Simulations, we find that target cell limited model is practically identifiable from data on viremia; the target cell limited model with NK cell class is practically identifiable, except for the rescaled half saturation constant. The within-host-within-fetus model has all fetus-related parameters not practically identifiable without data on the fetus, as well as the rescaled half saturation constant is also not practically identifiable. The remaining parameters are practically identifiable. Finally we find that none of the parameters of the within-vector model is practically identifiable.

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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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