title: Dynamic phenomena arising from an extended Core Group model.
abstract: In order to obtain a reasonably accurate model for the spread of a particular infectious disease through a population, it may be necessary for this model to possess some degree of structural complexity. Many such models have, in recent years, been found to exhibit a phenomenon known as backward bifurcation, which generally implies the existence of two subcritical endemic equilibria. It is often possible to refine these models yet further, and we investigate here the influence such a refinement may have on the dynamic behaviour of a system in the region of the parameter space near R(0)=1. We consider a natural extension to a so-called Core Group model for the spread of a sexually transmitted disease, arguing that this may in fact give rise to a more realistic model. From the deterministic viewpoint we study the possible shapes of the resulting bifurcation diagrams and the associated stability patterns. Stochastic versions of both the original and the extended models are also developed so that the probability of extinction and time to extinction may be examined, allowing us to gain further insights into the complex system dynamics near R(0)=1. A number of interesting phenomena are observed, for which heuristic explanations are provided.
authors.affiliation: Department of Mathematics and Statistics, University of Strathclyde, Livingstone Tower, Glasgow G1 1XH, UK. david@stams.strath.ac.uk
authors.forename: David
authors.initials: D
authors.lastname: Greenhalgh
authors.forename: Martin
authors.initials: M
authors.lastname: Griffiths
mesh_terms: D000465:Algorithms; D000818:Animals; D050936:Basic Reproduction Number; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D011156:Population Density; D012749:Sexually Transmitted Diseases / Q000453:epidemiology*; D013269:Stochastic Processes; D013997:Time Factors