Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 260-265 |
| Journal | Computer Methods and Programs in Biomedicine |
| Volume | 104 |
| Issue number | 2 |
| DOIs | |
| State | Published - Nov 2011 |
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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 journal › Article
TY - JOUR
T1 - Modelling of Healthcare Associated Infections: a study on the dynamics of pathogen transmission by using an individual-based approach
AU - Milazzoa,L.
AU - Bown,James L.
AU - Eberst,Alistair
AU - Phillips,G.
AU - Crawford,John W.
PY - 2011/11
Y1 - 2011/11
N2 - 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.
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
VL - 104
SP - 260
EP - 265
JO - Computer Methods and Programs in Biomedicine
T2 - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
SN - 0169-2607
IS - 2
ER -