Analysis and numerical approximation of a mathematical model for Aedes aegypti populations

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Anderson L.A. de Araujo, Jose L. Boldrini, Bianca M.R. Calsavara, Maicon R. Correa
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引用次数: 0

Abstract

We consider the rigorous analysis and the numerical approximation of a mathematical model for geographical spreading of Aedes aegypti. The complete model is composed of a system of parabolic partial differential equations coupled with one ordinary differential equation and has control terms related to the effects of insecticide application and sterile male release. The existence and uniqueness of solutions for the model are proven, and an efficient numerical methodology for approximating the unique solution of the mathematical model is proposed. The proposed numerical approach is based on a time-splitting scheme combined with locally conservative finite element methods. This combination of a well-posed mathematical model with a robust and efficient numerical formulation provides a suitable tool for the simulation of different scenarios of the spreading of Aedes aegypti. Numerical experiments, including a convergence study and a series of simulations that illustrate how the numerical model can be used in the decision-making process of controlling Aedes aegypti populations through the release of sterile male mosquitoes, assessing the responses to different inputs such as the total of sterile males released, the period for the release and locations for the intervention.
埃及伊蚊种群数学模型的分析与数值逼近
我们考虑了埃及伊蚊地理传播的严格分析和数学模型的数值近似。完整的模型由一个抛物型偏微分方程组和一个常微分方程耦合组成,并具有与施用杀虫剂和不育雄虫释放效果有关的控制项。证明了该模型解的存在唯一性,提出了一种逼近该数学模型唯一解的有效数值方法。所提出的数值方法基于时间分裂格式和局部保守有限元方法相结合。这种将定格良好的数学模型与稳健有效的数值公式相结合的方法,为模拟埃及伊蚊传播的不同情景提供了合适的工具。数值实验,包括收敛研究和一系列模拟,说明数值模型如何用于通过释放不育雄蚊来控制埃及伊蚊种群的决策过程,评估对不同输入(如释放不育雄蚊的总数、释放周期和干预地点)的响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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