媒介传播疾病模型与感染年龄的渐近分析。

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2020-12-01 DOI:10.1080/17513758.2020.1745912
Xia Wang, Yuming Chen, Maia Martcheva, Libin Rong
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引用次数: 6

摘要

病媒传播的传染病既可能涉及宿主之间的水平传播,也可能涉及受感染的病媒向易感宿主的传播。在本文中,我们将这两种传播模式纳入到一个媒介传播疾病模型中,该模型包括宿主和媒介的一般非线性发病率和感染年龄。我们证明了该模型解的存在唯一性、非负性和有界性。研究了稳态的存在性和局部稳定性,证明了稳态的存在性和局部稳定性是由基本再现数决定的。利用涨落引理和Lyapunov泛函的方法,证明了系统的全局紧吸引子的存在性和一致持久性,建立了系统的阈值动力学。当基本繁殖数小于1时,无病稳态全局渐近稳定,否则,当宿主存在初始感染力时,疾病建立。我们还研究了具有标准发病率的模型,并讨论了不同发病率对疾病动力学的影响。
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Asymptotic analysis of a vector-borne disease model with the age of infection.

Vector-borne infectious diseases may involve both horizontal transmission between hosts and transmission from infected vectors to susceptible hosts. In this paper, we incorporate these two transmission modes into a vector-borne disease model that includes general nonlinear incidence rates and the age of infection for both hosts and vectors. We show the existence, uniqueness, nonnegativity, and boundedness of solutions for the model. We study the existence and local stability of steady states, which is shown to be determined by the basic reproduction number. By showing the existence of a global compact attractor and uniform persistence of the system, we establish the threshold dynamics using the Fluctuation Lemma and the approach of Lyapunov functionals. When the basic reproduction number is less than one, the disease-free steady state is globally asymptotically stable and otherwise the disease will be established when there is initial infection force for the hosts. We also study a model with the standard incidence rate and discuss the effect of different incidence rates on the disease dynamics.

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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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