登革热流行病模型的数学分析与优化控制

IF 3.1 3区 数学 Q1 MATHEMATICS Advances in Difference Equations Pub Date : 2024-04-29 DOI:10.1186/s13662-024-03805-8
Yacouba Yoda, Harouna Ouedraogo, Dramane Ouedraogo, Aboudramane Guiro
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引用次数: 0

摘要

在本文中,我们正在研究登革热病的 SEIR-SI 型模型,以便更好地观察人类感染的动态。我们计算了基本繁殖数((\mathcal{R}_{0}\)并确定了平衡点。然后,我们根据 \(\mathcal{R}_{0}\)的值,证明了在每种不同状态下都存在全局稳定性。此外,为了支持理论工作,我们还介绍了使用 Python 进行的数值模拟。我们还研究了 \(\mathcal{R}_{0}\)表达式中包含的参数的敏感性,目的是找出登革热病传播动态中最具影响力的参数。最后,我们引入了两个函数 u 和 v,分别表示对感染者的治疗和任何将人类与致病媒介接触降至最低的预防系统。在计算出能够减少疾病传播动态的最优控制对之后,我们将展示受控系统的曲线,仍然使用 Python。
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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Mathematical analysis and optimal control of Dengue fever epidemic model

In this article, we are working on an SEIR-SI type model for dengue disease in order to better observe the dynamics of infection in human beings. We calculate the basic reproduction number \(\mathcal{R}_{0}\) and determine the equilibrium points. We then show the existence of global stability in each of the different states depending on the value of \(\mathcal{R}_{0}\). Moreover, to support the theoretical work, we present numerical simulations obtained using Python. We also study the sensitivity of the parameters included in the expression of \(\mathcal{R}_{0}\) with the aim of identifying the most influential parameters in the dynamics of dengue disease spread. Finally, we introduce two functions u and v, respectively indicating the treatment of the infected people and any prevention system minimizing contact between humans and the disease causing vectors. We present the curves of the controlled system after calculating the optimal pair of controls capable of reducing the dynamics of the disease spread, still using Python.

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来源期刊
Advances in Difference Equations
Advances in Difference Equations MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
8.60
自引率
0.00%
发文量
0
审稿时长
4-8 weeks
期刊介绍: The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.
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