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Full Description
This book is a source of information on practical and innovative approaches to biosecurity surveillance. It explains the foundation and concepts behind surveillance design, with examples of methods and tools created to deal with surveillance challenges. With supporting case studies and including current directions in research, it covers evidence-based approaches to surveillance, statistics, detectability, single and multi-species detection, risk assessment, diagnostics, data-basing, modelling of invasion and spread, optimisation, and future climate challenges.
Contents
1: Introduction to Biosecurity Surveillance: Quantitative Approaches 1: Concepts for 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: Hierarchical Models for Evaluating Surveillance Strategies: Diversity Within a Common Modular Structure 5: The Relationship Between Biosecurity Surveillance and Risk Analysis 6: Designing Surveillance for Emergency Response 2: Information for Biosecurity Surveillance 7: The Role of Surveillance in Evaluating and Comparing International Quarantine Systems 8: Estimating Detection Rates and Probabilities 9: Ad hoc Solutions to Estimating Pathway Non-compliance Rates Using Imperfect and Incomplete Information 10: Surveillance for Soilborne Microbial Biocontrol Agents and Plant Pathogens 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 3: Statistical Modelling Methods for Designing Biosecurity Surveillance 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: Using Bayesian Networks to Model Surveillance in Complex Plant and Animal Health Systems 17: Statistical Emulators of Simulation Models to Inform Surveillance and 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 Appendix: Common Statistical Distributions Used in Statistical Modelling and Analysis for Biosecurity Surveillance
