传染病在暴露室和感染室中有限时间内传播的数学模型

O. Turar, Semyon Yakovlevich Serovaisky
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引用次数: 1

摘要

提出了传染病发展的离散非线性数学模型。它涉及将人群分为八个部分(易感、暴露、无症状、易患病、住院、危重、康复和死亡)。与此同时,在暴露者和所有形式的患者的隔离室中度过的时间被认为是有限的。因此,任何与感染者有过接触的人,在一段时间后,要么生病,要么不生病,离开暴露的隔间,任何病人,随着时间的推移,肯定会进入更严重的病人群体,死亡或康复。该确定性模型以离散形式呈现,模拟了疫情传播期间各群体逐日的数量变化。这是对SEIR模型的一种转变。本文还对所提出的模型进行了数值分析。哈萨克斯坦新冠肺炎疫情的发展就是一个例子。最后,根据隔离头几个月的初步数据作出预测。在计算实验的基础上,确定了模型开始数值实验时的各项参数。同时,对于给定的确定性模型,观察到感染人数的波浪式变化的影响。
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MATHEMATICAL MODEL OF THE EPIDEMIC PROPAGATION WITH LIMITED TIME SPENT IN EXPOSED AND INFECTED COMPARTMENTS
A discrete nonlinear mathematical model of the epidemic development is proposed. It involves dividing the population into eight compartments (susceptible, exposed, asymptomatic, easily sick, hospitalized, critically ill, recovered and deceased). At the same time, the time spent in compartments of exposed and all forms of patients is considered limited. Thus, any person who has been in contact with an infected person, after a while, either gets sick or does not, leaving the exposed compartment, and any patient, over time, for sure, either goes to the group of more severe patients, dies or recovers. This deterministic model is presented in a discrete form and simulates the quantitative change of various groups by day during the spread of the epidemic. It is a transformation of the SEIR model. The article also presents a numerical analysis of the proposed model. The development of the COVID epidemic in Kazakhstan is considered as an example. At the end, forecasts are given based on preliminary data from the first months of quarantine. Various parameters of the model when starting numerical experiments were found based on computational experiments. At the same time, for a given deterministic one, the effect of wavelike changes in the number of infected is observed.
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