A mathematical model for tilapia lake virus transmission with waning immunity.

IF 2.7 4区 数学 Q3 ECOLOGY
Cyrille Kenne, Pascal Zongo, René Dorville
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引用次数: 2

Abstract

The goal of this paper is to investigate the influence of the waning immunity on the dynamics of Tilapia Lake Virus (TiLV) transmission in wild and farmed tilapia within freshwater. We formulate a model for which susceptible individuals can contract the disease in two ways: (i) direct mode caused by contact with infected individuals; (ii) indirect mode due to the presence of pathogenic agents in the water. We obtain an age-structured model which combines both age since infection and age since recovery. We derive an explicit formula for the reproductive number R0 and show that the disease-free equilibrium is locally asymptotically stable when, R0<1. We discuss on the form of the waning immunity parameter and show numerically that a Hopf bifurcation may occur for suitable immunity parameter values, which means that there is a periodic solution around the endemic equilibrium when, R0>1.

罗非鱼湖病毒随免疫力下降传播的数学模型。
本文的目的是研究淡水中野生和养殖罗非鱼免疫力下降对罗非鱼湖病毒(TiLV)传播动态的影响。我们制定了一个模型,其中易感个体可以通过两种方式感染疾病:(i)直接模式由与受感染个体接触引起;(ii)由于水中存在致病菌而导致的间接传染方式。我们得到了一个年龄结构模型,它结合了感染后的年龄和恢复后的年龄。我们导出了繁殖数R0的显式公式,并证明当R01时,无病平衡是局部渐近稳定的。我们讨论了免疫衰减参数的形式,并数值证明了对于合适的免疫参数值可能出现Hopf分岔,这意味着当R0>1时,在地方性平衡点周围存在一个周期解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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