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Figure 2 | Theoretical Biology and Medical Modelling

Figure 2

From: Dynamical crises, multistability and the influence of the duration of immunity in a seasonally-forced model of disease transmission

Figure 2

Stability, dynamical crises and chaos characterise the SIRWS system as the duration of immunity is varied between 1 and 20 years. The peak prevalence (a) and the period of oscillation (b), each plotted as a function of the duration of immunity (1/κ) are shown. Crises, quasiperiodicity, and chaos are all evident as the duration of immunity is varied. Note the sudden jump in the maximum of I nearby a duration of immunity of 10 years. This value happens to be that previously chosen in the literature[11, 12] to model pertussis dynamics indicating the presence of a crisis nearby an epidemiologically favoured value for the duration of immunity. The figures were produced by integrating the system for sufficient time such that the transient dynamics had passed (t transient  = 1000yr) and then examining the time traces over the next 50 years of simulation. The peak prevalence was calculated as the maximum of the oscillation of I and the period of oscillation as the time between successive maxima of I.

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