{"title":"A study on Chlamydia transmission in United States through the Haar wavelet technique","authors":"Kumbinarasaiah S., Yeshwanth R.","doi":"10.1016/j.rico.2024.100396","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, a novel method known as the Haar wavelet collocation method (HWCM) is used to analyze the mathematical model of Chlamydia transmission in the United States. We use dependent variables with various parameters, such as birth rate, mortality rate, and recovery rate, etc., to explore the nature of the Chlamydia disease in susceptible unvaccinated individuals, susceptible vaccinated individuals, infected, treated, and recovered individuals. The ordinary differential equations (ODEs) in this model are coupled nonlinear. In this method, the Chlamydia model is converted into a system of non-linear algebraic equations using properties of the operational matrix of Haar wavelets. Later, the Newton–Raphson approach is used to extract the unknown coefficients. Mathematica software has been used for all calculations. Tables and graphs contain tabulated results of calculations. As a result, it can be seen that the current approach is more precise than those used in the literature. Also, we discuss the effect of different parameters on susceptible unvaccinated individuals, susceptible vaccinated individuals, infected, treated, and recovered individuals through graphs.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"14 ","pages":"Article 100396"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724000262/pdfft?md5=1223ab6b30673ae5bbe4438cc0fa6a4a&pid=1-s2.0-S2666720724000262-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Control and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666720724000262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, a novel method known as the Haar wavelet collocation method (HWCM) is used to analyze the mathematical model of Chlamydia transmission in the United States. We use dependent variables with various parameters, such as birth rate, mortality rate, and recovery rate, etc., to explore the nature of the Chlamydia disease in susceptible unvaccinated individuals, susceptible vaccinated individuals, infected, treated, and recovered individuals. The ordinary differential equations (ODEs) in this model are coupled nonlinear. In this method, the Chlamydia model is converted into a system of non-linear algebraic equations using properties of the operational matrix of Haar wavelets. Later, the Newton–Raphson approach is used to extract the unknown coefficients. Mathematica software has been used for all calculations. Tables and graphs contain tabulated results of calculations. As a result, it can be seen that the current approach is more precise than those used in the literature. Also, we discuss the effect of different parameters on susceptible unvaccinated individuals, susceptible vaccinated individuals, infected, treated, and recovered individuals through graphs.
在本研究中,我们采用了一种名为哈小波配位法(HWCM)的新方法来分析衣原体在美国传播的数学模型。我们使用具有各种参数(如出生率、死亡率和康复率等)的因变量来探讨衣原体疾病在未接种疫苗的易感人群、接种疫苗的易感人群、感染者、治疗者和康复者中的性质。该模型中的常微分方程(ODE)是耦合非线性的。在此方法中,利用 Haar 小波运算矩阵的特性,将衣原体模型转换为非线性代数方程系统。之后,使用牛顿-拉斐森方法提取未知系数。所有计算均使用 Mathematica 软件。表格和图形包含计算结果的表格。因此,可以看出目前的方法比文献中使用的方法更加精确。此外,我们还通过图表讨论了不同参数对未接种疫苗的易感个体、接种疫苗的易感个体、感染者、治疗者和康复者的影响。