Research article Special Issues

Hopf bifurcation in a chronological age-structured SIR epidemic model with age-dependent infectivity

  • Received: 02 February 2023 Revised: 11 May 2023 Accepted: 19 May 2023 Published: 05 June 2023
  • In this paper, we examine the stability of an endemic equilibrium in a chronological age-structured SIR (susceptible, infectious, removed) epidemic model with age-dependent infectivity. Under the assumption that the transmission rate is a shifted exponential function, we perform a Hopf bifurcation analysis for the endemic equilibrium, which uniquely exists if the basic reproduction number is greater than $ 1 $. We show that if the force of infection in the endemic equilibrium is equal to the removal rate, then there always exists a critical value such that a Hopf bifurcation occurs when the bifurcation parameter reaches the critical value. Moreover, even in the case where the force of infection in the endemic equilibrium is not equal to the removal rate, we show that if the distance between them is sufficiently small, then a similar Hopf bifurcation can occur. By numerical simulation, we confirm a special case where the stability switch of the endemic equilibrium occurs more than once.

    Citation: Toshikazu Kuniya, Hisashi Inaba. Hopf bifurcation in a chronological age-structured SIR epidemic model with age-dependent infectivity[J]. Mathematical Biosciences and Engineering, 2023, 20(7): 13036-13060. doi: 10.3934/mbe.2023581

    Related Papers:

  • In this paper, we examine the stability of an endemic equilibrium in a chronological age-structured SIR (susceptible, infectious, removed) epidemic model with age-dependent infectivity. Under the assumption that the transmission rate is a shifted exponential function, we perform a Hopf bifurcation analysis for the endemic equilibrium, which uniquely exists if the basic reproduction number is greater than $ 1 $. We show that if the force of infection in the endemic equilibrium is equal to the removal rate, then there always exists a critical value such that a Hopf bifurcation occurs when the bifurcation parameter reaches the critical value. Moreover, even in the case where the force of infection in the endemic equilibrium is not equal to the removal rate, we show that if the distance between them is sufficiently small, then a similar Hopf bifurcation can occur. By numerical simulation, we confirm a special case where the stability switch of the endemic equilibrium occurs more than once.



    加载中


    [1] W. O. Kermack, A. G. McKendrick, Contributions to the mathematical theory of epidemics–I. 1927, Bull. Math. Biol., 53 (1991), 33–55.
    [2] O. Diekmann, J. A. P. Heesterbeek, J. A. J. Metz, On the definition and the computation of the basic reproduction ratio $R_0$ in models for infectious diseases in heterogeneous populations, J. Math. Biol., 28 (1990), 365–382. https://doi.org/10.1007/BF00178324 doi: 10.1007/BF00178324
    [3] D. Breda, F. Florian, J. Ripoll, R. Vermiglio, Efficient numerical computation of the basic reproduction number for structured populations, J. Comput. Appl. Math., 384 (2021), 113165. https://doi.org/10.1016/j.cam.2020.113165 doi: 10.1016/j.cam.2020.113165
    [4] H. Inaba, Age-Structured Population Dynamics in Demography and Epidemiology, Springer, Singapore, 2017. https://doi.org/10.1007/978-981-10-0188-8
    [5] O. J. Peter, S. Kumar, N. Kumari, F. A. Oguntolu, K. Oshinubi, R. Musa, Transmission dynamics of Monkeypox virus: a mathematical modelling approach, Model. Earth Syst. Environ., 8 (2022), 3423–3434. https://doi.org/10.1007/s40808-021-01313-2 doi: 10.1007/s40808-021-01313-2
    [6] À. Calsina, J. Ripoll, Hopf bifurcation in a structured population model for the sexual phase of monogonont rotifers, J. Math. Biol., 45 (2002), 22–36. https://doi.org/10.1007/s002850200147 doi: 10.1007/s002850200147
    [7] H. W. Hethcote, S. A. Levin, Periodicity in epidemiological models, in Applied Mathematical Ecology, Springer, (1989), 193–211.
    [8] H. W. Hethcote, The mathematics of infectious diseases, SIAM Rev., 42 (2000), 599–653. https://doi.org/10.1137/S0036144500371907 doi: 10.1137/S0036144500371907
    [9] P. Manfredi, E. Salinelli, Population-induced oscillations in blended SI-SEI epidemiological models, IMA J. Math. Appl. Med. Biol., 19 (2002), 95–112. https://doi.org/10.1093/imammb/19.2.95 doi: 10.1093/imammb/19.2.95
    [10] A. d'Onofrio, P. Manfredi, Information-related changes in contact patterns may trigger oscillations in the endemic prevalence of infectious diseases, J. Theoret. Biol., 256 (2009), 473–478. https://doi.org/10.1016/j.jtbi.2008.10.005 doi: 10.1016/j.jtbi.2008.10.005
    [11] K. Oshinubi, S. S. Buhamra, N. M. Al-Kandari, J. Waku, M. Rachdi, J. Demongeot, Age dependent epidemic modeling of COVID-19 outbreak in Kuwait, France, and Cameroon, Healthcare, 10 (2022), 482. https://doi.org/10.3390/healthcare10030482 doi: 10.3390/healthcare10030482
    [12] P. Magal, C. C. McCluskey, G. F. Webb, Lyapunov functional and global asymptotic stability for an infection-age model, Appl. Anal., 89 (2010), 1109–1140. https://doi.org/10.1080/00036810903208122 doi: 10.1080/00036810903208122
    [13] H. Inaba, Threshold and stability results for an age-structured epidemic model, J. Math. Biol., 28 (1990), 411–434. https://doi.org/10.1007/BF00178326 doi: 10.1007/BF00178326
    [14] T. Kuniya, J. Wang, H. Inaba, A multi-group SIR epidemic model with age structure, Disc. Cont. Dyn. Syst. Series B, 21 (2016), 3515–3550. https://doi.org/10.3934/dcdsb.2016109 doi: 10.3934/dcdsb.2016109
    [15] H. R. Thieme, Stability change of the endemic equilibrium in age-structured models for the spread of S-I-R type infectious diseases, in Differential Equations Models in Biology, Epidemiology and Ecology, Springer, (1991), 139–158.
    [16] V. Andreasen, Instability in an SIR-model with age-dependent susceptibility, in Mathematical Population Dynamics, Wuerz Publ., (1995), 3–14.
    [17] Y. Cha, M. Iannelli, F. Milner, Stability change of an epidemic model, Dynam. Syst. Appl., 9 (2000), 361–376.
    [18] A. Franceschetti, A. Pugliese, D. Breda, Multiple endemic states in age-structured SIR epidemic models, Math. Biosci. Eng., 9 (2012), 577–599. https://doi.org/10.3934/mbe.2012.9.577 doi: 10.3934/mbe.2012.9.577
    [19] E. Beretta, Y. Kuang, Geometric stability switch criteria in delay differential systems with delay dependent parameters, SIAM J. Math. Anal., 33 (2002), 1144–1165. https://doi.org/10.1016/j.jde.2018.11.025 doi: 10.1016/j.jde.2018.11.025
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(971) PDF downloads(83) Cited by(0)

Article outline

Figures and Tables

Figures(8)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog