Rich dynamics of a delayed SIRS epidemic model with two-age structure and logistic growth

被引:0
作者
Yan, Dongxue [1 ]
Cao, Yu [2 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Sci, Nanjing 210023, Peoples R China
[2] Nanjing Univ Finance & Econ, Sch Int Econ & Business, Nanjing 210023, Peoples R China
来源
ADVANCES IN CONTINUOUS AND DISCRETE MODELS | 2023年 / 2023卷 / 01期
基金
中国国家自然科学基金;
关键词
Two-age structure; Delay; Non-densely defined Cauchy problem; Logistic growth; Stability and Hopf bifurcation; VIRAL-INFECTION MODEL; VIRUS-TO-CELL; GLOBAL STABILITY; BIFURCATION-ANALYSIS; HOPF-BIFURCATION; AGE; DISEASE;
D O I
10.1186/s13662-023-03794-0
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper studies a two-age structured SIRS epidemic model with logistic growth of susceptible population and two-time delays. We simultaneously introduce two-time delays, i.e., the immunity and incubation periods, into this dynamic system and investigate their impact on different dynamic behaviors for the model. By means of the C-0-semigroup theory, the model is transformed into a non-densely defined abstract Cauchy problem, and the condition of the existence and uniqueness of the endemic equilibrium is obtained. Following the spectral analysis, the characteristic equation technique, and the Hopf bifurcation theorem, we show that different combinations of the two delays perform a vital role in the instability/stability as well as the Hopf bifurcation results of equilibrium solutions. We numerically provide some graphical representations to check the main theoretical results and show the rich dynamics by varying the two delay parameters.
引用
收藏
页数:33
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