title: The role of initial inoculum on epidemic dynamics.
abstract: Transient dynamics are important in many epidemics in agricultural and ecological systems that are prone to regular disturbance, cyclical and random perturbations. Here, using a simple host-pathogen model for a sessile host and a pathogen that can move by diffusion and advection, we use a range of mathematical techniques to examine the effect of initial spatial distribution of inoculum of the pathogen on the transient dynamics of the epidemic. We consider an isolated patch and a group of patches with different boundary conditions. We first determine bounds on the host population for the full model, then non-dimensionalizing the model allows us to obtain approximate solutions for the system. We identify two biologically intuitive groups of parameters to analyse transient behaviour using perturbation techniques. The first parameter group is a measure of the relative strength of initial primary to secondary infection. The second group is derived from the ratio of host removal rate (via infection) to pathogen removal rate (by decay and natural mortality) and measures the infectivity of initial inoculum on the system. By restricting the model to mimic primary infection only (in which all infections arise from initial inoculum), we obtain exact solutions and demonstrate how these depend on initial conditions, boundary conditions and model parameters. Finally, we suggest that the analyses on the balance of primary and secondary infection provide the epidemiologist with some simple rules to predict the transient behaviours.
authors.affiliation: Department of Mathematical Sciences, University of Bath, Bath, BA2 7AY, UK. kajw@maths.bath.ac.uk
authors.forename: K A
authors.initials: KA
authors.lastname: Jane White
authors.forename: C A
authors.initials: CA
authors.lastname: Gilligan
mesh_terms: D000818:Animals; D003141:Communicable Diseases / Q000635:transmission*; D003198:Computer Simulation; D004196:Disease Outbreaks; D006790:Host-Parasite Interactions; D017711:Nonlinear Dynamics; D010273:Parasitic Diseases, Animal / Q000635:transmission*; D011156:Population Density