两株登革热模型中宿主-媒介动力学的复杂性。

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2021-12-01 DOI:10.1080/17513758.2020.1864038
Peter Rashkov, Bob W Kooi
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引用次数: 15

摘要

我们介绍了一种具有两种病毒株的登革热区隔宿主-载体模型,宿主的暂时交叉免疫,以及可能的继发感染。研究了一株病毒取代另一株病毒或两株病毒共存时存在地方性平衡的条件。由于宿主和媒介流行病学遵循不同的时间尺度,该模型被描述为一个慢-快系统。我们使用几何奇异摄动技术来降低模型维数。我们比较了完整模型的行为与具有准稳定近似的向量动力学模型的行为。我们还使用文献中的参数值进行了数值分岔分析,并将分岔结构与之前的双应变纯宿主模型进行了比较。
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Complexity of host-vector dynamics in a two-strain dengue model.

We introduce a compartmental host-vector model for dengue with two viral strains, temporary cross-immunity for the hosts, and possible secondary infections. We study the conditions on existence of endemic equilibria where one strain displaces the other or the two virus strains co-exist. Since the host and vector epidemiology follow different time scales, the model is described as a slow-fast system. We use the geometric singular perturbation technique to reduce the model dimension. We compare the behaviour of the full model with that of the model with a quasi-steady approximation for the vector dynamics. We also perform numerical bifurcation analysis with parameter values from the literature and compare the bifurcation structure to that of previous two-strain host-only models.

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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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