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Using Simulation to Evaluate Time to Detect Incursions in Honeybee Biosecurity in Australia
Journal article   Peer reviewed

Using Simulation to Evaluate Time to Detect Incursions in Honeybee Biosecurity in Australia

David Clifford, Simon Barry, David Cook, Rob Duthie and Denis Anderson
Risk analysis, Vol.31(12), pp.1961-1968
2011
PMID: 21449958

Abstract

Apis cerana Apis mellifera simulation study varroa
A key determinant of the efficiency of a surveillance system for exotic mites is whether an incursion might be detected sufficiently quickly to allow successful management actions to occur. To assess this possibility we have developed a spatial modeling system and synthesized knowledge of honeybee and mite behavior to explore the potential spread of exotic mites and the likelihood of their detection in sentinel hives. We find that increasing the number of hives and the efficiency of the detection method are the most effective means of improving the time to detection.

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#3 Good Health and Well-Being
#15 Life on Land

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Citation topics
3 Agriculture, Environment & Ecology
3.32 Entomology
3.32.750 Bee Ecology
Web Of Science research areas
Mathematics, Interdisciplinary Applications
Public, Environmental & Occupational Health
Social Sciences, Mathematical Methods
ESI research areas
Social Sciences, general
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