title: Multi-patch deterministic and stochastic models for wildlife diseases.
abstract: Spatial heterogeneity and host demography have a direct impact on the persistence or extinction of a disease. Natural or human-made landscape features such as forests, rivers, roads, and crops are important to the persistence of wildlife diseases. Rabies, hantaviruses, and plague are just a few examples of wildlife diseases where spatial patterns of infection have been observed. We formulate multi-patch deterministic and stochastic epidemic models and use these models to investigate problems related to disease persistence and extinction. We show in some special cases that a unique disease-free equilibrium exists. In these cases, a basic reproduction number ℝ(0) can be computed and shown to be bounded below and above by the minimum and maximum patch reproduction numbers ℝ(j), j=1, …, n. The basic reproduction number has a simple form when there is no movement or when all patches are identical or when the movement rate approaches infinity. Numerical examples of the deterministic and stochastic models illustrate the disease dynamics for different movement rates between three patches.
authors.affiliation: Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX 79409-1042, USA.
authors.forename: Robert K
authors.initials: RK
authors.lastname: McCormack
authors.forename: Linda J S
authors.initials: LJ
authors.lastname: Allen
mesh_terms: D000820:Animal Diseases / Q000453:epidemiology*; D000818:Animals; D000835:Animals, Wild / Q000382:microbiology* / Q000469:parasitology*; D050936:Basic Reproduction Number; D003141:Communicable Diseases / Q000453:epidemiology; D004198:Disease Susceptibility; D006801:Humans; D008954:Models, Biological; D013269:Stochastic Processes