title: InterSpread Plus: a spatial and stochastic simulation model of disease in animal populations.
abstract: We describe the spatially explicit, stochastic simulation model of disease spread, InterSpread Plus, in terms of its epidemiological framework, operation, and mode of use. The input data required by the model, the method for simulating contact and infection spread, and methods for simulating disease control measures are described. Data and parameters that are essential for disease simulation modelling using InterSpread Plus are distinguished from those that are non-essential, and it is suggested that a rational approach to simulating disease epidemics using this tool is to start with core data and parameters, adding additional layers of complexity if and when the specific requirements of the simulation exercise require it. We recommend that simulation models of disease are best developed as part of epidemic contingency planning so decision makers are familiar with model outputs and assumptions and are well-positioned to evaluate their strengths and weaknesses to make informed decisions in times of crisis.
authors.affiliation: EpiCentre, Institute of Veterinary, Animal, and Biomedical Sciences, Massey University, Private Bag 11-222, Palmerston North, New Zealand. m.stevenson@massey.ac.nz
authors.forename: M A
authors.initials: MA
authors.lastname: Stevenson
authors.forename: R L
authors.initials: RL
authors.lastname: Sanson
authors.forename: M W
authors.initials: MW
authors.lastname: Stern
authors.forename: B D
authors.initials: BD
authors.lastname: O'Leary
authors.forename: M
authors.initials: M
authors.lastname: Sujau
authors.forename: N
authors.initials: N
authors.lastname: Moles-Benfell
authors.forename: R S
authors.initials: RS
authors.lastname: Morris
mesh_terms: D000820:Animal Diseases / Q000453:epidemiology* / Q000209:etiology / Q000517:prevention & control / Q000635:transmission*; D000818:Animals; D003198:Computer Simulation; D003657:Decision Making; D058872:Epidemics / Q000662:veterinary*; D008954:Models, Biological; D013269:Stochastic Processes