Age structured discrete-time disease models with demographic population cycles

被引:3
作者
van den Driessche, P. [1 ]
Yakubu, Abdul-Aziz [2 ]
机构
[1] Univ Victoria, Dept Math & Stat, Victoria, BC, Canada
[2] Howard Univ, Dept Math, Washington, DC 20059 USA
关键词
Adults; Beverton-Holt model; Juveniles; population cycles; Ricker model; SALMON-ANEMIA-VIRUS; VERTICAL TRANSMISSION; DYNAMICS; ISAV; ATTENUANT; WILD; R-0;
D O I
10.1080/17513758.2020.1743885
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
We use juvenile-adult discrete-time infectious disease models with intrinsically generated demographic population cycles to study the effects of age structure on the persistence or extinction of disease and the basic reproduction number, . Our juvenile-adult Susceptible-Infectious-Recovered (SIR) and Infectious-Salmon Anemia-Virus (ISA models share a common disease-free system that exhibits equilibrium dynamics for the Beverton-Holt recruitment function. However, when the recruitment function is the Ricker model, a juvenile-adult disease-free system exhibits a range of dynamic behaviours from stable equilibria to deterministic period k population cycles to Neimark-Sacker bifurcations and deterministic chaos. For these two models, we use an extension of the next generation matrix approach for calculating to account for populations with locally asymptotically stable period k cycles in the juvenile-adult disease-free system. When and the juvenile-adult demographic system (in the absence of the disease) has a locally asymptotically stable period k population cycle, we prove that the juvenile-adult disease goes extinct whenever . Under the same period k juvenile-adult demographic assumption but with , we prove that the juvenile-adult disease-free period k population cycle is unstable and the disease persists. When , our simulations show that the juvenile-adult disease-free period k cycle dynamics drives the juvenile-adult SIR disease dynamics, but not the juvenile-adult ISAv disease dynamics.
引用
收藏
页码:308 / 331
页数:24
相关论文
共 39 条
  • [1] The basic reproduction number in some discrete-time epidemic models
    Allen, Linda J. S.
    van den Driessche, P.
    [J]. JOURNAL OF DIFFERENCE EQUATIONS AND APPLICATIONS, 2008, 14 (10-11) : 1127 - 1147
  • [2] SOME DISCRETE-TIME SI, SIR, AND SIS EPIDEMIC MODELS
    ALLEN, LJS
    [J]. MATHEMATICAL BIOSCIENCES, 1994, 124 (01) : 83 - 105
  • [3] Beverton R., 1957, DYNAMICS EXPLOITED F, V2, P533
  • [4] Trends and cohort resonant effects in age-structured populations
    Bjornstad, ON
    Nisbet, RM
    Fromentin, JM
    [J]. JOURNAL OF ANIMAL ECOLOGY, 2004, 73 (06) : 1157 - 1167
  • [5] Importance of age structure in models of the response of upper trophic levels to fishing and climate change
    Botsford, Louis W.
    Holland, Matthew D.
    Samhouri, Jameal F.
    White, J. Wilson
    Hastings, Alan
    [J]. ICES JOURNAL OF MARINE SCIENCE, 2011, 68 (06) : 1270 - 1283
  • [6] BEHAVIOR OF AGE-SPECIFIC, DENSITY-DEPENDENT MODELS AND NORTHERN CALIFORNIA DUNGENESS CRAB (CANCER-MAGISTER) FISHERY
    BOTSFORD, LW
    WICKHAM, DE
    [J]. JOURNAL OF THE FISHERIES RESEARCH BOARD OF CANADA, 1978, 35 (06): : 833 - 843
  • [7] DISCRETE EPIDEMIC MODELS
    Brauer, Fred
    Feng, Zhilan
    Castillo-Chavez, Carlos
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2010, 7 (01) : 1 - 15
  • [8] Dispersal, disease and life-history evolution
    Castillo-Chavez, C
    Yakubu, AA
    [J]. MATHEMATICAL BIOSCIENCES, 2001, 173 (01) : 35 - 53
  • [9] Caswell Hal, 2001, pi
  • [10] The many guises of R0 (a didactic note)
    Cushing, J. M.
    Diekmann, Odo
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2016, 404 : 295 - 302