Biosecurity Surveillance: Quantitative Approaches

Biosecurity Surveillance: Quantitative Approaches

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Product Details

ISBN-13: 9781780643595
Publisher: CAB International North America
Publication date: 04/30/2015
Series: CABI Invasives Series
Pages: 386
Product dimensions: 7.00(w) x 9.70(h) x 1.20(d)

About the Author

Frith Jarrad teaches at Queensland University of Technology, Australia.

Samantha Low-Choy teaches at Queensland University of Technology, Australia.

Kerrie Mengersen teaches at Queensland University of Technology, Australia.

Table of Contents

1) Introduction to biosecurity surveillance
2) Biosecurity surveillance in agriculture and environment: a review
3) Getting the story straight: Laying the foundations for statistical evaluation of the performance of surveillance
4) Hierarachial models for evaluating surveillance strategies: diversity within a common modular structure
5) The relationship between biosecurity surveillance and risk assessment
6) Designing surveillance for emergency response
7) The role of surveillance in evaluating and comparing international quarantine systems
8) Estimating Detection Rates & Probabilities
9) Estimating non-compliance rate using imperfect and incomplete information
10) Surveillance for microbial soilborne pathogens and biocontrol organisms
11) Design of a surveillance system for non-indigenous species on Barrow Island: plants case study
12) Towards reliable mapping of biosecurity risk: incorporating uncertainty and decision-makers’ risk aversion
13) Detection survey design for decision making during biosecurity incursions
14) Inference and prediction with individual-based stochastic models of epidemics
15) Evidence of Absence for Invasive Species: Roles for Hierarchical Bayesian Approaches in Regulation
16) Surveillance as part of an SPS system: using bayesian networks to better understand plant and animal surveillance
17) Statistical emulators of simulation models to inform response to new biological invasions
18) Animal, vegetable, or …? A case study in using animal-health monitoring design tools to solve a plant-health surveillance problem
19) Agent-Based Bayesian Spread Model Applied to Red Imported Fire Ants in Brisbane

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