An application of agent-based simulation to the management of hospital-acquired infection
Y Meng,
R Davies,
K Hardy and
P Hawkey
Journal of Simulation, 2010, vol. 4, issue 1, 60-67
Abstract:
Hospital patients who are colonised with methicillin-resistant Staphylococcus aureus (MRSA), may transmit the bacteria to other patients. An agent-based simulation is designed to determine how the problem might be managed and the risk of transmission reduced. Most MRSA modelling studies have applied mathematical compartmental models or Monte Carlo simulations. In the agent-based model, each patient is identified on admission as being colonised or not, has a projected length of stay and may be more or less susceptible to colonisation. Patient states represent colonisation, detection, treatment, and location within the ward. MRSA transmission takes place between pairs of individuals in successive time slices. Various interventions designed to reduce MRSA transmission are embedded in the model including: admission and repeat screening tests, shorter test turnaround time, isolation, and decolonisation treatment. These interventions can be systematically evaluated by model experimentation.
Date: 2010
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1057/jos.2009.17 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:4:y:2010:i:1:p:60-67
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20
DOI: 10.1057/jos.2009.17
Access Statistics for this article
Journal of Simulation is currently edited by Christine Currie
More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().