Epidemics: towards understanding undulation and decay

IF 0.9 Q2 MATHEMATICS
Niko Sauer
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引用次数: 0

Abstract

Undulation (usually called waves) of infection levels in epidemics, is not well understood. In this paper we propose a mathematical model that exhibits undulation (oscillation) and decay towards a stable state. The model is a re-interpretation of the original SIR-model obtained by postulating different constitutive relations whereby classical logistic growth with recovery is obtained. The recovery relation is based on the premise that it is only achieved after some time. This leads to a differential–difference (delay) equation which intrinsically exhibits periodicity in its solutions but not necessarily decay to asymptotic equilibrium. Limit cycles can indeed occur. An appropriate linearization of the governing equation provides a firm basis for heuristic reasoning as well as confidence in numerical calculations.

流行病:走向理解波动和衰退
流行病中感染水平的波动(通常称为波浪)尚未得到很好的理解。在本文中,我们提出了一个表现出波动(振荡)和向稳定状态衰减的数学模型。该模型是对原始sir模型的重新解释,该模型通过假设不同的本构关系而获得经典的具有恢复的逻辑增长。恢复关系是以一段时间后才能实现为前提的。这导致微分-差分(延迟)方程在其解中本质上表现出周期性,但不一定衰减到渐近平衡。极限环确实可以出现。控制方程的适当线性化为启发式推理提供了坚实的基础,也为数值计算提供了信心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Afrika Matematika
Afrika Matematika MATHEMATICS-
CiteScore
2.00
自引率
9.10%
发文量
96
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