title: Estimating Resource Requirements to Staff a Response to a Medium to Large Outbreak of Foot and Mouth Disease in Australia.
abstract: A recent report to the Australian Government identified concerns relating to Australia's capacity to respond to a medium to large outbreak of FMD. To assess the resources required, the AusSpread disease simulation model was used to develop a plausible outbreak scenario that included 62 infected premises in five different states at the time of detection, 28 days after the disease entered the first property in Victoria. Movements of infected animals and/or contaminated product/equipment led to smaller outbreaks in NSW, Queensland, South Australia and Tasmania. With unlimited staff resources, the outbreak was eradicated in 63 days with 54 infected premises and a 98% chance of eradication within 3 months. This unconstrained response was estimated to involve 2724 personnel. Unlimited personnel was considered unrealistic, and therefore, the course of the outbreak was modelled using three levels of staffing and the probability of achieving eradication within 3 or 6 months of introduction determined. Under the baseline staffing level, there was only a 16% probability that the outbreak would be eradicated within 3 months, and a 60% probability of eradication in 6 months. Deployment of an additional 60 personnel in the first 3 weeks of the response increased the likelihood of eradication in 3 months to 68%, and 100% in 6 months. Deployment of further personnel incrementally increased the likelihood of timely eradication and decreased the duration and size of the outbreak. Targeted use of vaccination in high-risk areas coupled with the baseline personnel resources increased the probability of eradication in 3 months to 74% and to 100% in 6 months. This required 25 vaccination teams commencing 12 days into the control program increasing to 50 vaccination teams 3 weeks later. Deploying an equal number of additional personnel to surveillance and infected premises operations was equally effective in reducing the outbreak size and duration.
authors.affiliation: Department of Agriculture, Australian Government, Canberra, ACT, Australia.
authors.forename: M G
authors.initials: MG
authors.lastname: Garner
authors.affiliation: Government of South Australia, Primary Industries and Regions, Glenside, SA, Australia.
authors.forename: N
authors.initials: N
authors.lastname: Bombarderi
authors.affiliation: Queensland Government, Department of Agriculture, Fisheries and Forestry, Nambour, QLD, Australia.
authors.forename: M
authors.initials: M
authors.lastname: Cozens
authors.affiliation: Tasmanian Government, Department of Primary Industries, Parks, Water and Environment, Hobart, TAS, Australia.
authors.forename: M L
authors.initials: ML
authors.lastname: Conway
authors.affiliation: New South Wales Government, Department of Primary Industries, Orange, NSW, Australia.
authors.forename: T
authors.initials: T
authors.lastname: Wright
authors.affiliation: Government of South Australia, Primary Industries and Regions, Glenside, SA, Australia.
authors.forename: R
authors.initials: R
authors.lastname: Paskin
authors.affiliation: Department of Agriculture, Australian Government, Canberra, ACT, Australia.
authors.forename: I J
authors.initials: IJ
authors.lastname: East
mesh_terms: D000818:Animals; D001315:Australia / Q000453:epidemiology; D003140:Communicable Disease Control / Q000379:methods*; D060740:Disease Eradication / Q000458:organization & administration*; D004196:Disease Outbreaks / Q000662:veterinary*; D005536:Foot-and-Mouth Disease / Q000453:epidemiology* / Q000517:prevention & control*; D008962:Models, Theoretical; D011336:Probability; D014611:Vaccination / Q000662:veterinary
keywords: foot and mouth disease; resources; response; simulation modelling