Discrete dynamical models on Wolbachia infection frequency in mosquito populations with biased release ratios.

IF 2.7 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2022-12-01 Epub Date: 2021-09-17 DOI:10.1080/17513758.2021.1977400
Yantao Shi, Bo Zheng
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引用次数: 10

Abstract

We develop two discrete models to study how supplemental releases affect the Wolbachia spreading dynamics in cage mosquito populations. The first model focuses on the case when only infected males are released at each generation. This release strategy has been proved to be capable of speeding up the Wolbachia persistence by suppressing the compatible matings between uninfected individuals. The second model targets the case when only infected females are released at each generation. For both models, detailed model formulation, enumeration of the positive equilibria and their stability analysis are provided. Theoretical results show that the two models can generate bistable dynamics when there are three positive equilibrium points, semi-stable dynamics for the case of two positive equilibrium points. And when the positive equilibrium point is unique, it is globally asymptotically stable. Some numerical simulations are offered to get helpful implications on the design of the release strategy.

具有偏置释放比的蚊子种群沃尔巴克氏体感染频率的离散动力学模型。
我们建立了两个离散模型来研究补充释放如何影响沃尔巴克氏体在笼蚊种群中的传播动态。第一个模型关注的是每一代只释放受感染的雄性的情况。这种释放策略已被证明能够通过抑制未感染个体之间的相容交配来加速沃尔巴克氏体的持久性。第二个模型针对的是每一代只释放受感染的雌性的情况。对于这两个模型,给出了详细的模型公式、正均衡的列举及其稳定性分析。理论结果表明,当存在三个正平衡点时,两种模型均可产生双稳态动力学,当存在两个正平衡点时,两种模型均可产生半稳态动力学。当正平衡点唯一时,系统是全局渐近稳定的。通过数值模拟,为释放策略的设计提供了有益的启示。
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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