Modelling of Healthcare Associated Infections: a study on the dynamics of pathogen transmission by using an individual-based approach

L. Milazzoa, James L. Bown, Alistair Eberst, G. Phillips, John W. Crawford

Research output: Contribution to journalArticle

  • 11 Citations

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.
Original languageEnglish
Pages (from-to)260-265
JournalComputer Methods and Programs in Biomedicine
Volume104
Issue number2
DOIs
StatePublished - Nov 2011

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Infectious Disease Transmission
Delivery of Health Care
Infection
Personnel
Personnel Management
Methicillin-Resistant Staphylococcus aureus
Infection Control
Cross Infection
Systems Analysis
Computer Simulation
Disease Outbreaks
Pathogens
Mathematical models
Computer simulation

Cite this

Milazzoa, L.; Bown, James L.; Eberst, Alistair; Phillips, G.; Crawford, John W. / Modelling of Healthcare Associated Infections: a study on the dynamics of pathogen transmission by using an individual-based approach.

In: Computer Methods and Programs in Biomedicine, Vol. 104, No. 2, 11.2011, p. 260-265.

Research output: Contribution to journalArticle

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Modelling of Healthcare Associated Infections: a study on the dynamics of pathogen transmission by using an individual-based approach. / Milazzoa, L.; Bown, James L.; Eberst, Alistair; Phillips, G.; Crawford, John W.

In: Computer Methods and Programs in Biomedicine, Vol. 104, No. 2, 11.2011, p. 260-265.

Research output: Contribution to journalArticle

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