肺泡棘球蚴病的生态流行模型和传播动态。

IF 1.9 4区 数学 Q2 BIOLOGY
Xinmiao Rong , Meng Fan
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引用次数: 0

摘要

在中国西部,肺泡棘球蚴病通过捕食在终宿主和中间宿主之间传播,威胁人类健康并造成巨大经济损失。为了探索该病的传播机制,本文建立了一个生态流行病学生命周期模型,以说明两种宿主之间的相互作用。建立了基本繁殖数和人口繁殖数,以表征无病平衡和流行平衡的稳定性以及分叉动力学。证实了正向分岔和霍普夫分岔的存在,并用来解释阈值传播动力学。数值模拟和分岔图也用来描述模型的丰富动态。数值分析表明,提高田鼠的控制率将降低传播风险,而狐狸的高捕食率也可能导致传播风险降低,这与以往研究的预测不同。对田鼠三种控制措施的评估表明,当狐狸捕食率低(高)时,化学(综合)控制会更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ecoepidemic modeling and dynamics of alveolar echinococcosis transmission
Alveolar echinococcosis, transmitted between definitive hosts and intermediate hosts via predation, threatens the health of humans and causes great economic losses in western China. In order to explore the transmission mechanism of this disease, an eco-epidemiological lifecycle model is formulated to illustrate interactions between two hosts. The basic and demographic reproduction numbers are developed to characterize the stability of the disease-free and endemic equilibria as well as bifurcation dynamics. The existence of forward bifurcation and Hopf bifurcation are confirmed and are used to explain the threshold transmission dynamics. Numerical simulations and bifurcation diagrams are also presented to depict rich dynamics of the model. Numerical analysis suggests that improving the control rate of voles will reduce the risk of transmission, while the high predation rate of foxes may also lead to a lower transmission risk, which is different from the predictions of previous studies. The evaluation of three control measures on voles implies that, when the fox’s predation rate is low (high), the chemical (integrated) control will be more effective.
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来源期刊
Mathematical Biosciences
Mathematical Biosciences 生物-生物学
CiteScore
7.50
自引率
2.30%
发文量
67
审稿时长
18 days
期刊介绍: Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
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