A non-integer order model for Zika and Dengue co-dynamics with cross-enhancement

N.O. Iheonu , U.K. Nwajeri , A. Omame
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引用次数: 0

Abstract

A novel fractional derivative model with nine compartments is formulated to investigate the transmission dynamics of zika and dengue co-infection. The Atangana–Baleanu fractional derivative in the Caputo sense was employed. The conditions for a unique solution are identified, and the solutions’ positivity and boundedness are demonstrated. The disease-free equilibrium point (DFE) and basic reproduction number, R0, were obtained. The DFE was shown to be locally asymptotically stable when the basic reproduction number is less than one. Zika-associated reproduction number, R0z, and dengue-associated reproduction number, R0d, were estimated to be 1.0144 and 1.1724, respectively. The system was shown to be generalized Ulam Hyers–Rassias stable, and the Adam–Bashforth method was used to provide its’ numerical solution. Sensitivity analysis using the Latin Hyper-cube Sampling (LHS) and Partial Rank Correlation Coefficient (PRCC) (|PRCC|> 0.45) with 200 runs was carried out using various variables as response functions per time. The most significant parameters were found to be zika human-to-human transmission rate, β hz1, vector death rate, μ v, zika recovery rate, γ hz1 and dengue vector-to-human transmission rate, β hd. Real data from Espirito Santo in Brazil is used to validate the model and fit needed parameter values. Numerical simulations illustrated the impact of varying the fractional order derivative, recovery rates, transmission rates, and cross-enhancement parameters on the infected human compartments. The zika Human-to-human transmission rate, β hz1, was found to be a very significant parameter in the control of zika disease transmission. Increasing the vector death rate, μ v, was more important in curbing dengue prevalence and incidence than the attainment of recovery from the dengue disease, and the absence of the zika Vector-to-human transmission rate, β hz3, was almost insignificant in the presence of the zika Human-to-human transmission rate, β hz1, for disease eradication. This study suggested control measures and strategies to decrease the dengue and zika human-to-human transmission rates.

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具有交叉增强的寨卡和登革热协同动力学非整数阶模型
本文建立了一种具有9个区室的分数阶导数模型,用于研究寨卡病毒和登革热合并感染的传播动力学。采用了卡普托意义上的Atangana-Baleanu分数导数。给出了唯一解的条件,并证明了解的正性和有界性。得到了无病平衡点(DFE)和基本繁殖数(R0)。当基本复制数小于1时,DFE是局部渐近稳定的。寨卡相关繁殖数R0z和登革热相关繁殖数R0d分别为1.0144和1.1724。证明了该系统具有广义Ulam Hyers-Rassias稳定,并利用Adam-Bashforth方法给出了该系统的数值解。拉丁超立方抽样(LHS)和偏秩相关系数(PRCC)敏感性分析(|PRCC|>0.45),每次使用各种变量作为响应函数进行200次运行。结果表明,寨卡病毒人传人率β hz1、病媒死亡率、μ v、寨卡病毒回收率、γ hz1和登革热病媒人传人率β hd最为显著。使用巴西Espirito Santo的真实数据验证模型并拟合所需参数值。数值模拟说明了改变分数阶导数、恢复率、传播率和交叉增强参数对受感染的人类隔间的影响。寨卡病毒人传人率β hz1是控制寨卡病毒传播的重要参数。在控制登革热流行和发病率方面,提高媒介死亡率(μ v)比实现登革热的康复更为重要;在存在寨卡人传人率(β hz1)的情况下,不存在寨卡人传人率(β hz3)对根除疾病的影响几乎微不足道。本研究提出了降低登革热和寨卡病毒人际传播率的控制措施和策略。
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来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
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