Tangled Webs : Using Bayesian Networks in the Fight Against Infection

Waterhouse, Mary & Johnson, Sandra (2013) Tangled Webs : Using Bayesian Networks in the Fight Against Infection. In Alston, Clair L., Mengersen, Kerrie L., & Pettitt, Anthony N. (Eds.) Case Studies in Bayesian Statistical Modelling and Analysis. John Wiley & Sons, Chichester, West Sussex, England, pp. 348-360.

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Abstract

Bayesian networks (BNs) provide a statistical modelling framework which is ideally suited for modelling the many factors and components of complex problems such as healthcare-acquired infections. The methicillin-resistant Staphylococcus aureus (MRSA) organism is particularly troublesome since it is resistant to standard treatments for Staph infections. Overcrowding and understa�ng are believed to increase infection transmission rates and also to inhibit the effectiveness of disease control measures. Clearly the mechanisms behind MRSA transmission and containment are very complicated and control strategies may only be e�ective when used in combination. BNs are growing in popularity in general and in medical sciences in particular. A recent Current Content search of the number of published BN journal articles showed a fi�ve fold increase in general and a six fold increase in medical and veterinary science from 2000 to 2009. This chapter introduces the reader to Bayesian network (BN) modelling and an iterative modelling approach to build and test the BN created to investigate the possible role of high bed occupancy on transmission of MRSA while simultaneously taking into account other risk factors.

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ID Code: 64598
Item Type: Book Chapter
DOI: 10.1002/9781118394472.ch20
ISBN: 9781118394496
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright © 2013 John Wiley & Sons, Ltd
Deposited On: 18 Nov 2013 22:51
Last Modified: 05 Feb 2016 04:48

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