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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/1129

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Title: Modelling of Healthcare Associated Infections: a study on the dynamics of pathogen transmission by using an individual-based approach
Authors: Milazzoa, L.
Bown, James L.
Eberst, A.
Phillips, G.
Crawford, J. W.
Affiliation: University of Abertay Dundee. Institute of Arts Media & Computer Games
Keywords: Healthcare Associated Infections
Infectious disease dynamics
Mathematical models
Computer simulations
Issue Date: Nov-2011
Publisher: Elsevier
Type: Journal Article
Refereed: peer-reviewed
Rights: Published version (c)Elsevier, available from http://dx.doi.org/10.1016/j.cmpb.2011.02.002
Citation: Milazzoa, L., et al. 2011. Modelling of Healthcare Associated Infections: a study on the dynamics of pathogen transmission by using an individual-based approach. Computer Methods and Programs in Biomedicine. 104(2): pp.260-265. Available from http://dx.doi.org/10.1016/j.cmpb.2011.02.002
Abstract: Prevention and control of Healthcare Associated Infections (HAIs) has become a high priority for most healthcare organizations. Mathematical models can provide insights into the dynamics of nosocomial infections and help to evaluate the effect of infection control measures. The model presented in this paper adopts an individual-based and stochastic approach to investigate MRSA outbreaks in a hospital ward. A computer simulation was implemented to analyze the dynamics of the system associated with the spread of the infection and to carry out studies on space and personnel management. This study suggests that a strict spatial cohorting might be ineffective, if it is not combined with personnel cohorting.
URI: http://hdl.handle.net/10373/1129
ISSN: 0169-2607
Appears in Collections:Arts, Media and Computer Games Collection

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