Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands.
Department of Mathematics, Technical University of Munich, Munich, Germany.
J Math Biol. 2021 Sep 22;83(4):37. doi: 10.1007/s00285-021-01664-5.
We study a fast-slow version of an SIRS epidemiological model on homogeneous graphs, obtained through the application of the moment closure method. We use GSPT to study the model, taking into account that the infection period is much shorter than the average duration of immunity. We show that the dynamics occurs through a sequence of fast and slow flows, that can be described through 2-dimensional maps that, under some assumptions, can be approximated as 1-dimensional maps. Using this method, together with numerical bifurcation tools, we show that the model can give rise to periodic solutions, differently from the corresponding model based on homogeneous mixing.
我们研究了在齐次图上通过矩闭合方法得到的 SIRS 传染病模型的快速-慢速版本。我们考虑到感染期比平均免疫持续时间短得多,使用 GSPT 来研究该模型。我们表明,动力学通过一系列快速和缓慢的流动来发生,可以通过二维图来描述,在某些假设下,这些二维图可以被近似为一维图。使用这种方法,结合数值分岔工具,我们表明该模型可以产生周期解,这与基于均匀混合的相应模型不同。