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

L. Milazzoa; J. L. Bown; A. Eberst; G. Phillips; J. W. Crawford

doi:10.1016/j.cmpb.2011.02.002

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

L. Milazzoa^*, J. L. Bown, A. Eberst, G. Phillips, J. W. Crawford

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

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 language	English
Pages (from-to)	260-265
Number of pages	6
Journal	Computer Methods and Programs in Biomedicine
Volume	104
Issue number	2
DOIs	https://doi.org/10.1016/j.cmpb.2011.02.002
Publication status	Published - Nov 2011

Keywords

Healthcare Associated Infections
Infectious disease dynamics
Mathematical models
Computer simulations

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.cmpb.2011.02.002

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

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.",

author = "L. Milazzoa and Bown, {J. L.} and A. Eberst and G. Phillips and Crawford, {J. W.}",

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AU - Milazzoa, L.

AU - Bown, J. L.

AU - Eberst, A.

AU - Phillips, G.

AU - Crawford, J. W.

PY - 2011/11

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AB - 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.

U2 - 10.1016/j.cmpb.2011.02.002

DO - 10.1016/j.cmpb.2011.02.002

M3 - Article

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ER -

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

Abstract

Keywords

UN SDGs

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