Vector Traits Shape Disease Persistence: A Predator-Prey Approach to Dengue.

IF 2.3 4区 数学 Q2 BIOLOGY
Piyumi Chathurangika, Tharushika Peiris, Lakmini S Premadasa, S S N Perera, Kushani De Silva
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引用次数: 0

Abstract

Dengue continues to pose a major global threat, infecting nearly 390 million people annually. Recognizing the importance of studying vector biology and therein vector competence ( v c ), recent research focuses on mosquito parameters to inform transmission modeling and vector control strategies. This study models relationship between Aedes vectors and dengue pathogens, highlighting v c as a key driver of within-vector infection dynamics and endemic persistence. Using a predator-prey framework, we show that endemic conditions emerge naturally from the biological interplay between vector's strategies and pethogen pressure. We prove global stability of such conditions and determine thresholds of v c for three types of functional responses ( v c q ∗ , q = 0 , 1 , 2 ). Our results reveal that under tropical and subtropical environmental pressures, the innate immune system of vectors cannot offset high v c during endemic outbreaks, highlighting a fundamental biological trade-off: vectors can evolve increased transmission potential but cannot enhance immune capacity. This constraint defines the limits of their evolutionary response to pathogen-driven selection and drives instability in disease transmission dynamics.

媒介特征塑造疾病持久性:登革热的捕食者-猎物方法。
登革热继续构成重大的全球威胁,每年感染近3.9亿人。认识到研究媒介生物学及其媒介能力(vc)的重要性,最近的研究重点是蚊子参数,为传播建模和媒介控制策略提供信息。该研究模拟了伊蚊媒介和登革热病原体之间的关系,强调了v - c是媒介内感染动态和流行持续性的关键驱动因素。使用捕食者-猎物的框架,我们表明,地方性条件自然出现从媒介的策略和病原体压力之间的生物相互作用。我们证明了这些条件的全局稳定性,并确定了三种类型的函数响应(v c q *, q = 0,1,2)的v c的阈值。我们的研究结果表明,在热带和亚热带环境压力下,病媒的先天免疫系统不能抵消流行病暴发期间的高v - c,这突出了一种基本的生物学权衡:病媒可以进化出增加的传播潜力,但不能增强免疫能力。这种约束定义了它们对病原体驱动选择的进化反应的极限,并导致疾病传播动力学的不稳定性。
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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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