title: The effect of loss of immunity on noise-induced sustained oscillations in epidemics.
abstract: The effect of loss of immunity on sustained population oscillations about an endemic equilibrium is studied via a multiple scales analysis of a SIRS model. The analysis captures the key elements supporting the nearly regular oscillations of the infected and susceptible populations, namely, the interaction of the deterministic and stochastic dynamics together with the separation of time scales of the damping and the period of these oscillations. The derivation of a nonlinear stochastic amplitude equation describing the envelope of the oscillations yields two criteria providing explicit parameter ranges where they can be observed. These conditions are similar to those found for other applications in the context of coherence resonance, in which noise drives nearly regular oscillations in a system that is quiescent without noise. In this context the criteria indicate how loss of immunity and other factors can lead to a significant increase in the parameter range for prevalence of the sustained oscillations, without any external driving forces. Comparison of the power spectral densities of the full model and the approximation confirms that the multiple scales analysis captures nonlinear features of the oscillations.
authors.affiliation: Applied Physics Laboratory, Johns Hopkins University, Baltimore, USA.
authors.forename: J
authors.initials: J
authors.lastname: Chaffee
authors.forename: R
authors.initials: R
authors.lastname: Kuske
mesh_terms: D001683:Biological Clocks; D003141:Communicable Diseases / Q000453:epidemiology / Q000276:immunology; D058872:Epidemics / Q000706:statistics & numerical data*; D006801:Humans; D007109:Immunity; D055641:Mathematical Concepts; D008954:Models, Biological; D017711:Nonlinear Dynamics; D013269:Stochastic Processes