Mathematical Models for the Large Spread of a Contact-Based Infection: A Statistical Mechanics Approach

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Marzia Bisi, Silvia Lorenzani
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Abstract

In this work, we derive a system of Boltzmann-type equations to describe the spread of contact-based infections, such as SARS-CoV-2 virus, at the microscopic scale, that is, by modeling the human-to-human mechanisms of transmission. To this end, we consider two populations, characterized by specific distribution functions, made up of individuals without symptoms (population 1) and infected people with symptoms (population 2). The Boltzmann operators model the interactions between individuals within the same population and among different populations with a probability of transition from one to the other due to contagion or, vice versa, to recovery. In addition, the influence of innate and adaptive immune systems is taken into account. Then, starting from the Boltzmann microscopic description we derive a set of evolution equations for the size and mean state of each population considered. Mathematical properties of such macroscopic equations, as equilibria and their stability, are investigated, and some numerical simulations are performed in order to analyze the ability of our model to reproduce the characteristic features of Covid-19 type pandemics.

Abstract Image

接触性感染大规模传播的数学模型:统计力学方法
在这项研究中,我们推导出了一个玻尔兹曼方程组,用于描述接触性感染(如 SARS-CoV-2 病毒)在微观尺度上的传播,即模拟人与人之间的传播机制。为此,我们考虑了由无症状个体(群体 1)和有症状的感染者(群体 2)组成的两个群体,这两个群体具有特定的分布函数。玻尔兹曼算子模拟同一种群内个体之间以及不同种群之间的相互作用,其中存在从一个种群过渡到另一个种群的传染概率,反之亦然,也存在从另一个种群过渡到另一个种群的恢复概率。此外,还考虑了先天性免疫系统和适应性免疫系统的影响。然后,我们从波尔兹曼微观描述出发,推导出一组关于每个种群规模和平均状态的演化方程。我们研究了这些宏观方程的数学特性,如平衡及其稳定性,并进行了一些数值模拟,以分析我们的模型再现 Covid-19 型流行病特征的能力。
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来源期刊
CiteScore
5.00
自引率
3.30%
发文量
87
审稿时长
4.5 months
期刊介绍: The mission of the Journal of Nonlinear Science is to publish papers that augment the fundamental ways we describe, model, and predict nonlinear phenomena. Papers should make an original contribution to at least one technical area and should in addition illuminate issues beyond that area''s boundaries. Even excellent papers in a narrow field of interest are not appropriate for the journal. Papers can be oriented toward theory, experimentation, algorithms, numerical simulations, or applications as long as the work is creative and sound. Excessively theoretical work in which the application to natural phenomena is not apparent (at least through similar techniques) or in which the development of fundamental methodologies is not present is probably not appropriate. In turn, papers oriented toward experimentation, numerical simulations, or applications must not simply report results without an indication of what a theoretical explanation might be. All papers should be submitted in English and must meet common standards of usage and grammar. In addition, because ours is a multidisciplinary subject, at minimum the introduction to the paper should be readable to a broad range of scientists and not only to specialists in the subject area. The scientific importance of the paper and its conclusions should be made clear in the introduction-this means that not only should the problem you study be presented, but its historical background, its relevance to science and technology, the specific phenomena it can be used to describe or investigate, and the outstanding open issues related to it should be explained. Failure to achieve this could disqualify the paper.
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