Age-structured delayed SIPCV epidemic model of HPV and cervical cancer cells dynamics I. Numerical method

Q2 Agricultural and Biological Sciences Biomath Pub Date : 2021-12-06 DOI:10.11145/j.biomath.2021.10.027
V. Akimenko, F. Adi-Kusumo
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引用次数: 3

Abstract

The numerical method for simulation dynamics of nonlinear epidemic model of age-structured sub-populations of susceptible, infectious, precancerous and cancer cells and unstructured population of human papilloma virus (HPV) is developed (SIPCV model). Cell population dynamics is described by the initial-boundary value problem for the delayed semi-linear hyperbolic equations with age- and time-dependent coefficients and HPV dynamics is described by the initial problem for nonlinear delayed ODE. The model considers two time-delay parameters: the time between viral entry into a target susceptible cell and the production of new virus particles, and duration of the first stage of delayed immune response to HPV population growing. Using the method of characteristics and method of steps we obtain the exact solution of the SIPCV epidemic model in the form of explicit recurrent formulae. The numerical method designed for this solution and used the trapezoidal rule for integrals in recurrent formulae has a second order of accuracy. Numerical experiments with vanished mesh spacing illustrate the second order of accuracy of numerical solution with respect to the benchmark solution and show the dynamical regimes of cell-HPV population with the different phase portraits.
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年龄结构延迟SIPCV流行模型与宫颈癌细胞动力学ⅰ。数值方法
建立了人乳头瘤病毒(HPV)易感亚群、感染性亚群、癌前细胞亚群、癌前细胞亚群和非结构化亚群年龄结构非线性流行模型(SIPCV模型)的数值模拟动力学方法。细胞群体动力学由年龄和时间相关系数的延迟半线性双曲方程的初始边值问题描述,HPV动力学由非线性延迟ODE的初始问题描述。该模型考虑了两个时滞参数:病毒进入目标易感细胞和产生新病毒颗粒之间的时间,以及HPV群体增长的第一阶段延迟免疫反应的持续时间。采用特征法和步骤法,以显式递推公式的形式得到SIPCV流行模型的精确解。针对这一问题设计的数值解法,采用梯形法则对循环公式中的积分进行求解,具有二级精度。消除网格间距的数值实验说明了数值解相对于基准解的二阶精度,并显示了不同相画像下细胞- hpv群体的动态状态。
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来源期刊
Biomath
Biomath Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
2.20
自引率
0.00%
发文量
6
审稿时长
20 weeks
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