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流行病学中的Petri网

Petri nets in epidemiology.

作者信息

Segovia Carlos

机构信息

Instituto de Matemáticas, UNAM-Oaxaca, Alameda de León 2, Oaxaca de Juárez, 68000, Oaxaca, México.

出版信息

J Math Biol. 2025 Sep 16;91(4):40. doi: 10.1007/s00285-025-02272-3.

Abstract

This work provides a geometric version of the next-generation matrix method for obtaining the basic reproduction number of an epidemiological model. We exhibit a certain correspondence between any system of ODEs and Petri nets. We observe that any epidemiological model has the basic structures found in the SIR model of Kermack-McKendrick. This means that the basic reproduction number depends only on three substructures inside the Petri net, which are also given by three Petri nets inside, representing the susceptible population, the infection process, and the infected population. The five assumptions of the next-generation matrix method given by van den Driessche-Watmough can be described geometrically using Petri nets. Thus, the next-generation matrix results in a matrix of flows between the infection compartments with a dominant eigenvalue given by the basic reproduction number.

摘要

这项工作提供了一种用于获取流行病学模型基本再生数的下一代矩阵方法的几何版本。我们展示了常微分方程组与Petri网之间的某种对应关系。我们观察到,任何流行病学模型都具有Kermack-McKendrick的SIR模型中发现的基本结构。这意味着基本再生数仅取决于Petri网内部的三个子结构,这三个子结构也由内部的三个Petri网给出,分别代表易感人群、感染过程和感染人群。van den Driessche-Watmough给出的下一代矩阵方法的五个假设可以用Petri网进行几何描述。因此,下一代矩阵产生了一个感染区室之间的流矩阵,其主导特征值由基本再生数给出。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0490/12441085/6ecfb38262ca/285_2025_2272_Fig1_HTML.jpg

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