Stochasticity in staged models of epidemics: Quantifying the dynamics of whooping cough

Andrew J. Black, Alan J. McKane

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Although many stochastic models can accurately capture the qualitative epidemic patterns of many childhood diseases, there is still considerable discussion concerning the basic mechanisms generating these patterns; much of this stems from the use of deterministic models to try to understand stochastic simulations. We argue that a systematic method of analysing models of the spread of childhood diseases is required in order to consistently separate out the effects of demographic stochasticity, external forcing and modelling choices. Such a technique is provided by formulating the models as master equations and using the van Kampen system-size expansion to provide analytical expressions for quantities of interest. We apply this method to the susceptible-exposed- infected-recovered (SEIR) model with distributed exposed and infectious periods and calculate the form that stochastic oscillations take on in terms of the model parameters. With the use of a suitable approximation, we apply the formalism to analyse a model of whooping cough which includes seasonal forcing. This allows us to more accurately interpret the results of simulations and to make a more quantitative assessment of the predictions of the model. We show that the observed dynamics are a result of a macroscopic limit cycle induced by the external forcing and resonant stochastic oscillations about this cycle. © 2010 The Royal Society.
    Original languageEnglish
    Pages (from-to)1219-1227
    Number of pages8
    JournalJournal of the Royal Society Interface
    Volume7
    Issue number49
    DOIs
    Publication statusPublished - 6 Aug 2010

    Keywords

    • Epidemics
    • Stochastic modelling
    • Whooping cough

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