Age structured discrete-time disease models with demographic population cycles.

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, [Formula: see text]. Our juvenile-adult Susceptible-Infectious-Recovered (SIR) and Infectious-Salmon Anemia-Virus (ISA[Formula: see text] 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 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 [Formula: see text] to account for populations with locally asymptotically stable period cycles in the juvenile-adult disease-free system. When [Formula: see text] and the juvenile-adult demographic system (in the absence of the disease) has a locally asymptotically stable period population cycle, we prove that the juvenile-adult disease goes extinct whenever [Formula: see text]. Under the same period juvenile-adult demographic assumption but with [Formula: see text], we prove that the juvenile-adult disease-free period population cycle is unstable and the disease persists. When [Formula: see text], our simulations show that the juvenile-adult disease-free period cycle dynamics drives the juvenile-adult SIR disease dynamics, but not the juvenile-adult ISA disease dynamics.