Exact solution to a dynamic SIR model

被引:46
作者
Bohner, Martin [1 ]
Streipert, Sabrina [2 ]
Torres, Delfim F. M. [3 ]
机构
[1] Missouri Univ Sci & Technol, Dept Math & Stat, Rolla, MO 65409 USA
[2] Univ Queensland, Ctr Applicat Nat Resource Math, Sch Math & Phys, St Lucia, Qld 4067, Australia
[3] Univ Aveiro, Dept Math, R&D Unit CIDMA, P-3810193 Aveiro, Portugal
关键词
Dynamic equations on time scales; Deterministic epidemic model; Closed-form solution; Time-varying coefficients; Asymptotic behavior; NONLINEAR INCIDENCE; EPIDEMIC MODELS; SEIR MODEL;
D O I
10.1016/j.nahs.2018.12.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We investigate an epidemic model based on Bailey's continuous differential system. In the continuous time domain, we extend the classical model to time-dependent coefficients and present an alternative solution method to Gleissner's approach. If the coefficients are constant, both solution methods yield the same result. After a brief introduction to time scales, we formulate the SIR (susceptible-infected-removed) model in the general time domain and derive its solution. In the discrete case, this provides the solution to a new discrete epidemic system, which exhibits the same behavior as the continuous model. The last part is dedicated to the analysis of the limiting behavior of susceptible, infected, and removed, which contains biological relevance. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:228 / 238
页数:11
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