涉及季节变化和共食传播的蜱传疾病的长期传播动力学。

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2021-12-01 DOI:10.1080/17513758.2021.1919322
Kyeongah Nah, Jianhong Wu
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引用次数: 3

摘要

共食是多种蜱传疾病的一种病原体传播方式,其中易感蜱可通过与同一宿主上的受感染蜱共食而感染。蜱虫在同一季节不同阶段的共存决定了这一传播途径的重要性。考虑到这一点,我们建立了蜱虫种群动态和病原体传播动态受季节温度变化高度调节的微分方程组。我们研究了模型系统的全球动态,并表明两个重要的生态和流行病学基本繁殖数可以用来充分表征长期动态,并将这两个重要的阈值与共食传播的有效性联系起来。
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Long-term transmission dynamics of tick-borne diseases involving seasonal variation and co-feeding transmission.

Co-feeding is a mode of pathogen transmission for a wide range of tick-borne diseases where susceptible ticks can acquire infection from co-feeding with infected ticks on the same hosts. The significance of this transmission pathway is determined by the co-occurrence of ticks at different stages in the same season. Taking this into account, we formulate a system of differential equations with tick population dynamics and pathogen transmission dynamics highly regulated by the seasonal temperature variations. We examine the global dynamics of the model systems, and show that the two important ecological and epidemiological basic reproduction numbers can be used to fully characterize the long-term dynamics, and we link these two important threshold values to efficacy of co-feeding transmission.

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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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