Cart (Loading....) | Create Account
Close category search window

Agent-based simulation of nosocomial transmission in the medical intensive care unit

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Triola, M.M. ; Sch. of Medicine, New York Univ., NY, USA ; Holzman, R.S.

Patients receiving care in medical intensive care units (MICU) are at high risk for colonization or infection by pathogenic organisms acquired during their treatment. Hand washing compliance by health care providers is a major determinate of the rate of organism transmission in this setting. We created a computer simulation of the MICU at our affiliated public hospital using the C++ computer language and the Swarm simulation library. The simulation models the colonization of patients with a pathogenic organism and evaluates the effects of infection control techniques. The simulation accurately models the behavior and interaction of nurses and patients in the MICU. Using this application, we altered the hand washing behavior of the virtual nurses to evaluate R/sub 0/ (an epidemiologic measure of pathogen transmission). Our simulation indicates that a hand washing rate of > 60% results in an R/sub 0/ of less than 1. Given the assumptions of the model, this implies when a colonized patient is introduced into the MICU, if hand washing is maintained at a frequency greater than 60%, spread of the pathogen to other patients would extinguish over time and the organism would not become endemic in the MICU.

Published in:

Computer-Based Medical Systems, 2003. Proceedings. 16th IEEE Symposium

Date of Conference:

26-27 June 2003

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.