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Biosecurity surveillance : quantitative approaches /

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 cur...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Jarrad, Frith (Editor ), Low Choy, Sama (Editor ), Mengersen, Kerrie (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxfordshire, England ; Boston, Massachusetts : CAB International, 2015.
Colección:CABI invasive species series ; 6.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Contributors; Preface; Acknowledgements; 1 Introduction to Biosecurity Surveillance: Quantitative Approaches; PART I: 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.
  • PART II: INFORMATION FOR BIOSECURITY SURVEILLANCE7 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 IncursionsPART III: 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 Problem19 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; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; P; Q; R; S; T; U; W; X.