Using Bayesian networks to model surveillance in complex plant and animal health systems


Autoria(s): Johnson, Sandra; Mengersen, Kerrie; Ormsby, Michael; Whittle, Peter
Contribuinte(s)

Jarrad, Frith

Low-Choy, Samantha

Mengersen, Kerrie

Data(s)

01/03/2015

Resumo

In this chapter we consider biosecurity surveillance as part of a complex system comprising many different biological, environmental and human factors and their interactions. Modelling and analysis of surveillance strategies should take into account these complexities, and also facilitate the use and integration of the many types of different information that can provide insight into the system as a whole. After a brief discussion of a range of options, we focus on Bayesian networks for representing such complex systems. We summarize the features of Bayesian networks and describe these in the context of surveillance.

Identificador

http://eprints.qut.edu.au/94424/

Publicador

CABI

Relação

http://www.cabi.org/bookshop/book/9781780643595

DOI:10.1079/9781780643595.0000

Johnson, Sandra, Mengersen, Kerrie, Ormsby, Michael, & Whittle, Peter (2015) Using Bayesian networks to model surveillance in complex plant and animal health systems. In Jarrad, Frith, Low-Choy, Samantha, & Mengersen, Kerrie (Eds.) Biosecurity Surveillance - Quantitative Approaches. CABI, Wallingford, Oxenford, United Kingdom, pp. 278-295.

Direitos

Copyright 2015 CABI

Fonte

ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS); Faculty of Science and Technology; Institute for Future Environments; School of Mathematical Sciences; Science & Engineering Faculty

Palavras-Chave #010401 Applied Statistics #050206 Environmental Monitoring #animals #monitoring #insects #models #plant pests #surveillance #pest insects #Bayesian theory
Tipo

Book Chapter