Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2023, Vol. 40 ›› Issue (4): 672-680.doi: 10.3969/j.issn.1005-3085.2023.04.012

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A Class of Nonlinear Functional Asymptotic Solution of Ecological System of Contagious Diseases

XU Jianzhong1,  MO Jiaqi2   

  1. 1. Department of Electronics and Information Engineering, Bozhou University, Bozhou 236800;
    2. School of Mathematics & Statistics, Anhui Normal University, Wuhu 241003
  • Received:2021-03-14 Accepted:2022-08-12 Online:2023-08-15 Published:2023-10-15
  • Supported by:
    The National Natural Science Foundation of China (11771005); the key Natural Science Foundation of Universities  in Anhui Province (KJ2019A1303; 2022AH052415); the Program of Academic Funding for Top Talents of Higher Education Disciplines (Majors) in Anhui Province in 2022 (gxbjZD2022080); the Program for Quality Project in Anhui Province (2021jyxm0965).

Abstract:

A nonlinear population model of an infectious disease transmission is proposed, and the method of functional homotopic mapping is used to explore the law of the infectious disease transmission. A pair of functional homotopic mappings is constructed and the corresponding linear system of the model is discussed. Under some circumstances, the zero point is a stable node, that is, the original epidemic transmission system is a stable node at zero point. Therefore, when the time variable $t$ of the system model tends to infinity, it tends to zero solution. Better measures can be taken to control the epidemic disease. Finally, an example illustrates the correctness of the method used. The functional homotopic mapping method can take corresponding measures to control it. The expression of the solution obtained can be further analyzed. It is therefore possible to continue further discussions of the various properties of other related physical quantities.

Key words: epidemic contagion model, nonlinear equation, dynamic system

CLC Number: