A Wolbachia infection model with free boundary.

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2020-12-01 DOI:10.1080/17513758.2020.1784474
Yunfeng Liu, Zhiming Guo, Mohammad El Smaily, Lin Wang
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引用次数: 5

Abstract

Scientists have been seeking ways to use Wolbachia to eliminate the mosquitoes that spread human diseases. Could Wolbachia be the determining factor in controlling the mosquito-borne infectious diseases? To answer this question mathematically, we develop a reaction-diffusion model with free boundary in a one-dimensional environment. We divide the female mosquito population into two groups: one is the uninfected mosquito population that grows in the whole region while the other is the mosquito population infected with Wolbachia that occupies a finite small region. The mosquito population infected with Wolbachia invades the environment with a spreading front governed by a free boundary satisfying the well-known one-phase Stefan condition. For the resulting free boundary problem, we establish criteria under which spreading and vanishing occur. Our results provide useful insights on designing a feasible mosquito releasing strategy that infects the whole mosquito population with Wolbachia and eradicates the mosquito-borne diseases eventually.

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具有自由边界的沃尔巴克氏体感染模型。
科学家们一直在寻找利用沃尔巴克氏体来消灭传播人类疾病的蚊子的方法。沃尔巴克氏体能否成为控制蚊媒传染病的决定性因素?为了从数学上回答这个问题,我们建立了一维环境下具有自由边界的反应扩散模型。我们将雌蚊种群分为两组:一组是生长在整个地区的未感染蚊子种群,另一组是占据有限小区域的感染沃尔巴克氏体的蚊子种群。感染沃尔巴克氏体的蚊子种群以一条自由边界控制的扩散前沿入侵环境,该边界满足众所周知的单相斯蒂芬条件。对于由此产生的自由边界问题,我们建立了扩展和消失的判据。本研究结果为设计一种可行的蚊虫释放策略提供了有益的见解,从而使沃尔巴克氏体感染整个蚊子种群,最终根除蚊媒疾病。
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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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