A stochastic mathematical model of methicillin resistant Staphylococcus aureus transmission in an intensive care unit: Predicting the impact of interventions
Journal of Theoretical BiologyPublished 20 November 2006
Emma S. McBryde, A. N. Pettitt, D. L. S. McElwain
Citations127
SJR quartileQ2
SJR score0.53
SNIP0.71
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TL;DR
Estimating the transmission rate of MRSA in an intensive care unit (ICU) in an 800 bed Australian teaching hospital and predict the impact of infection control interventions and hand hygiene was predicted to be the most effective intervention.
Abstract
The number of secondary cases of MRSA colonisation within the ICU in this study was below unity. Transmission of MRSA was sustained through admission of colonised patients. Stochastic model simulations give more realistic predictions in hospital ward settings than deterministic models. Increasing staff does not necessarily lead to reduced transmission of nosocomial pathogens.
Keywords
Medicine
Bayesian Data Analysis
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