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CABI Book Chapter

Biosecurity surveillance: quantitative approaches.

Book cover for Biosecurity surveillance: quantitative approaches.

Description

Biosecurity surveillance plays a vital role in protection against the introduction and spread of unwanted plants and animals. It involves not just collecting relevant information, but also analysing this information. This book focuses on methods for quantitative analysis of biosecurity surveillance data, where these data might arise from observations, sensors, remote imaging, expert opinion and so...

Chapter 10 (Page no: 181)

Surveillance for soilborne microbial biocontrol agents and plant pathogens.

Soilborne microbes are well known in agriculture as biological control agents and plant pathogens. Methods for their detection or diagnosis have been studied extensively over decades in order to identify the organisms, elucidate their biology, detect their presence and estimate their prevalence in environments, manipulate and control their populations, and answer questions about risk. The high importance of microbial biocontrol agents and soilborne plant pathogens in agriculture and the environment has given rise to needs to undertake surveillance on them. The appropriate design of surveillance (the deployment of detection methods in practice in order to create surveillance information) is driven by the questions that need to be answered, which depend on the context. This chapter will discuss the reasons for surveillance for these two groups of soilborne microbes and the methods used for their detection, to see whether there are opportunities, or needs, to improve the design of soilborne microbe surveillance.

Other chapters from this book

Chapter: 1 (Page no: 1) Introduction to Biosecurity surveillance: quantitative approaches. Author(s): Jarrad, F.
Chapter: 2 (Page no: 9) Biosecurity surveillance in agriculture and environment: a review. Author(s): Quinlan, M. Stanaway, M. Mengersen, K.
Chapter: 3 (Page no: 43) Getting the story straight: laying the foundations for statistical evaluation of the performance of surveillance. Author(s): Low-Choy, S.
Chapter: 4 (Page no: 75) Hierarchical models for evaluating surveillance strategies: diversity within a common modular structure. Author(s): Low-Choy, S.
Chapter: 5 (Page no: 109) The relationship between biosecurity surveillance and risk analysis. Author(s): MacLeod, A.
Chapter: 6 (Page no: 123) Designing surveillance for emergency response. Author(s): Havre, Z. van Whittle, P.
Chapter: 7 (Page no: 137) The role of surveillance in evaluating and comparing international quarantine systems. Author(s): Mittinty, M. Whittle, P. Burgman, M. Mengersen, K.
Chapter: 8 (Page no: 151) Estimating detection rates and probabilities. Author(s): Hauser, C. E. Garrard, G. E. Moore, J. L.
Chapter: 9 (Page no: 167) Ad hoc solutions to estimating pathway non-compliance rates using imperfect and incomplete information. Author(s): Robinson, A. P. Chisholm, M. Mudford, R. Maillardet, R.
Chapter: 11 (Page no: 203) Design of a surveillance system for non-indigenous species on Barrow Island: plants case study. Author(s): Murray, J. Whittle, P. Jarrad, F. Barrett, S. Stoklosa, R. Mengersen, K.
Chapter: 12 (Page no: 217) Towards reliable mapping of biosecurity risk: incorporating uncertainty and decision makers' risk aversion. Author(s): Yemshanov, D. Koch, F. H. Ducey, M. Haack, R. A.
Chapter: 13 (Page no: 238) Detection survey design for decision making during biosecurity incursions. Author(s): Kean, J. M. Burnip, G. M. Pathan, A.
Chapter: 14 (Page no: 253) Inference and prediction with individual-based stochastic models of epidemics. Author(s): Gibson, G. Gilligan, C. A.
Chapter: 15 (Page no: 265) Evidence of absence for invasive species: roles for hierarchical Bayesian approaches in regulation. Author(s): Stanaway, M.
Chapter: 16 (Page no: 278) Using Bayesian networks to model surveillance in complex plant and animal health systems. Author(s): Johnson, S. Mengersen, K. Ormsby, M. Whittle, P.
Chapter: 17 (Page no: 296) Statistical emulators of simulation models to inform surveillance and response to new biological invasions. Author(s): Renton, M. Savage, D.
Chapter: 18 (Page no: 313) Animal, vegetable, or ...? A case study in using animal-health monitoring design tools to solve a plant-health surveillance problem. Author(s): Hester, S. Sergeant, E. Robinson, A. P. Schult, G.
Chapter: 19 (Page no: 334) Agent-based Bayesian spread model applied to red imported fire ants in Brisbane. Author(s): Keith, J. M. Spring, D.

Chapter details

  • Author Affiliation
  • School of Mathematical Sciences, Queensland University of Technology, Gardens Point Campus, PO Box 2434, Brisbane, Queensland 4001, Australia.
  • Year of Publication
  • 2015
  • ISBN
  • 9781780643595
  • Record Number
  • 20153099598