EconPapers    
Economics at your fingertips  
 

Public Health Modeling at the Centers for Disease Control and Prevention

Arielle Lasry (), Michael L. Washington, Hannah K. Smalley, Faramroze Engineer, Pinar Keskinocak and Larry Pickering
Additional contact information
Arielle Lasry: Centers for Disease Control and Prevention
Michael L. Washington: Centers for Disease Control and Prevention
Hannah K. Smalley: Georgia Institute of Technology
Faramroze Engineer: University of Newcastle
Pinar Keskinocak: Georgia Institute of Technology
Larry Pickering: National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention

Chapter Chapter 1 in Operations Research and Health Care Policy, 2013, pp 3-16 from Springer

Abstract: Abstract At the Centers for Disease Control and Prevention, there is a growing interest in promoting the use of mathematical modeling to support public health policies. This chapter presents three examples of operations research models developed and employed by the Centers for Disease Control and Prevention. First, we discuss the Adult Immunization Scheduler, which uses dynamic programming methods to establish a personalized vaccination schedule for adults aged 19 and older. The second operations research project is a discrete event simulation model used to estimate the throughput and budget for mass vaccination clinics during the 2009–2010 H1N1 pandemic. Lastly, we describe a national HIV resource allocation model that uses nonlinear programming methods to optimize the allocation of funds to HIV prevention programs and populations.

Keywords: Population Subgroup; Injection Drug User; H1N1 Pandemic; Immunization Schedule; Arrival Intensity (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:isochp:978-1-4614-6507-2_1

Ordering information: This item can be ordered from
http://www.springer.com/9781461465072

DOI: 10.1007/978-1-4614-6507-2_1

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-1-4614-6507-2_1