食饵-捕食者种群的生态流行病学建模与分析

Abayneh Fentie Bezabih, G. K. Edessa, Koya Purnachandra Rao
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引用次数: 2

摘要

本文建立了五区系的食饵-捕食模型,并给出了被感染猎物和被感染捕食者的处理方法。我们将捕食发生率作为功能反应型,疾病传播发生率遵循简单的动力学质量作用函数。建立并检验了模型解的正性、有界性和存在性。利用变分矩阵法和Routh hour准则对模型的平衡点进行了辨识,并对平凡平衡点、轴向平衡点和无病平衡点进行了局部稳定性分析。发现当βk - (t1+d2) < 0、qp1k - d3(s+k) < 0、qp3k - (t2+d4)(s+k) < 0条件成立时,平凡平衡点〖E〗_(o)总是不稳定的,轴向平衡点〖E〗_(A)局部渐近稳定。通过考虑适当的Liapunove函数,证明了模型局部平衡点的全局稳定性分析。本研究得到受感染捕食者的基本繁殖数为通式R01=[(qp1-d3)2 kβd3s2]⁄[(qp1-d3){(qp1-d3)2ks(t1+d2)+rsqp2 (kqp1-kd3-d3s)}],计算出受感染捕食者种群的基本繁殖数,结果为R02=[(qp1-d3)(qp3 d3) k+αrsq(kqp1-kd3-d3s)]⁄[(qp1-d3)2 (t2+d4)k]形式的通式。如果基本繁殖数大于1,则该疾病将在捕食者-猎物系统中持续存在。如果基本繁殖数为1,则该疾病是稳定的,如果基本繁殖数小于1,则该疾病从捕食者-猎物系统中消失。最后,在DEDiscover软件的帮助下进行了仿真,以澄清结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eco-Epidemiological Modelling and Analysis of Prey-Predator Population
In this paper, prey-predator model of five Compartments are constructed with treatment is given to infected prey and infected predator. We took predation incidence rates as functional response type II and disease transmission incidence rates follow simple kinetic mass action function. The positivity, boundedness, and existence of the solution of the model are established and checked. Equilibrium points of the models are identified and Local stability analysis of Trivial Equilibrium point, Axial Equilibrium point, and Disease-free Equilibrium points are performed with the Method of Variation Matrix and Routh Hourwith Criterion. It is found that the Trivial equilibrium point 〖E〗_(o) is always unstable, and Axial equilibrium point 〖E〗_(A) is locally asymptotically stable if βk - (t1+d2) < 0, qp1k - d3(s+k) < 0, & qp3k - (t2+d4)(s+k) < 0 conditions hold true. Global Stability analysis of endemic equilibrium point of the model has been proved by Considering appropriate Liapunove function. In this study, the basic reproduction number of infected prey is obtained to be the following general formula R01=[(qp1-d3)2 kβd3s2]⁄[(qp1-d3){(qp1-d3)2ks(t1+d2 )+rsqp2 (kqp1-kd3-d3s)}] and the basic reproduction number of infected predator population is computed and results are written as the general formula of the form as R02=[(qp1-d3 )(qp3 d3 )k+αrsq(kqp1-kd3-d3s)]⁄[(qp1-d3)2 (t2+d4)k]. If the basic reproduction number is greater than one, then the disease will persist in prey-predator system. If the basic reproduction number is one, then the disease is stable, and if basic reproduction number less than one, then the disease is dies out from the prey-predator system. Finally, simulations are done with the help of DEDiscover software to clarify results.
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