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

Toward optimal resource-allocation for control of epidemics: An agent-based-simulation approach

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

4 Author(s)
Kasaie, P. ; Dept. of Quantitative Anal. & Oper. Manage., Univ. of Cincinnati, Cincinnati, OH, USA ; Kelton, W.D. ; Vaghefi, A. ; Naini, S.G.R.J.

Employing mathematical modeling and analytical optimization techniques, traditional approaches to the resource-allocation (RA) problem for control of epidemics often suffer from unrealistic assumptions, such as linear scaling of costs and benefits, independence of populations, and positing that the epidemic is static over time. Analytical solutions to more realistic models, on the other hand, are often difficult or impossible to derive even for simple cases, which restricts application of such models. We develop an agent-based simulation model of epidemics, and apply response-surface methodology to seek an optimum for the RA output in an iterative procedure. Validation is demonstrated through comparison of the results with the mathematical solution in an RA example for which the analytical solution is known. We apply the proposed approach to a more complicated RA problem in which a number of previous restricting assumptions are relaxed.

Published in:

Simulation Conference (WSC), Proceedings of the 2010 Winter

Date of Conference:

5-8 Dec. 2010

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.