Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

SAGETRACK

Sign In to gain access to subscriptions and/or personal tools.
Medical Decision Making
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Hupert, N.
Right arrow Articles by Callahan, M. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hupert, N.
Right arrow Articles by Callahan, M. A.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*Antibiotics
*Biodefense and Bioterrorism
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Modeling the Public Health Response to Bioterrorism: Using Discrete Event Simulation to Design Antibiotic Distribution Centers

Nathaniel Hupert, MD, MPH

411 E. 69th St., New York, NY 10021 nah2005{at}

Alvin I. Mushlin, MD, ScM

Mark A. Callahan, MD

Background. Post-exposure prophylaxis is a critical component of the public health response to bioterrorism. Computer simulation modeling may assist in designing antibiotic distribution centers for this task. Methods. The authors used discrete event simulation modeling to determine staffing levels for entry screening, triage, medical evaluation, and drug dispensing stations in a hypothetical antibiotic distribution center operating in low medium, and high disease prevalence bioterrorism response scenarios. Patient arrival rates and processing times were based on prior mass prophylaxis campaigns. Multiple sensitivity analyses examined the relation-ship between average staff utilization rate (UR) (i.e., percentage of time occupied in patient contact) and capacity of the model to handle surge arrivals. Results. Distribution center operation required from 93 staff for the low-prevalence scenario to 111 staff for the high-prevalence scenario to process approximately 1000 people per hour within the baseline model assumptions. Excess capacity to process surge arrivals approximated (1-UR) for triage staffing. Conclusions. Discrete event simulation modeling is a useful tool in developing the public health infrastructure for bioterrorism response. Live exercises to validate the assumptions and outcomes presented here may improve preparedness to respond to bioterrorism.

Key Words: bioterrorism • mass prophylaxis • discrete event simulation modeling • public health

Medical Decision Making, Vol. 22, No. 5 suppl, S17-S25 (2002)
DOI: 10.1177/027298902237709


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
Med Decis MakingHome page
M. L. Washington
Evaluating the Capability and Cost of a Mass Influenza and Pneumococcal Vaccination Clinic via Computer Simulation
Med Decis Making, July 1, 2009; 29(4): 414 - 423.
[Abstract] [PDF]


Home page
Med Decis MakingHome page
M. L. Brandeau, J. H. McCoy, N. Hupert, J.-E. Holty, and D. M. Bravata
Recommendations for Modeling Disaster Responses in Public Health and Medicine: A Position Paper of the Society for Medical Decision Making
Med Decis Making, July 1, 2009; 29(4): 438 - 460.
[Abstract] [PDF]


Home page
InterfacesHome page
P. D. Wright, M. J. Liberatore, and R. L. Nydick
A Survey of Operations Research Models and Applications in Homeland Security
Interfaces, November 1, 2006; 36(6): 514 - 529.
[Abstract] [PDF]


Home page
InterfacesHome page
E. K. Lee, S. Maheshwary, J. Mason, and W. Glisson
Large-Scale Dispensing for Emergency Response to Bioterrorism and Infectious-Disease Outbreak
Interfaces, November 1, 2006; 36(6): 591 - 607.
[Abstract] [PDF]


Home page
Management ScienceHome page
D. L. Craft, L. M. Wein, and A. H. Wilkins
Analyzing Bioterror Response Logistics: The Case of Anthrax
Management Science, May 1, 2005; 51(5): 679 - 694.
[Abstract] [PDF]


Home page
ANN INTERN MEDHome page
N. Hupert, G. M.L. Bearman, A. I. Mushlin, and M. A. Callahan
Accuracy of Screening for Inhalational Anthrax after a Bioterrorist Attack
Ann Intern Med, September 2, 2003; 139(5_Part_1): 337 - 345.
[Abstract] [Full Text] [PDF]


Home page
Med Decis MakingHome page
D. K. Owens
Analytic Tools for Public Health Decision Making
Med Decis Making, October 1, 2002; 22(5_suppl): S3 - S10.
[PDF]