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Public Health Modeling at the Centers for Disease Control and Prevention

In: Operations Research and Health Care Policy

Author

Listed:
  • 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)

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.

Suggested Citation

  • Arielle Lasry & Michael L. Washington & Hannah K. Smalley & Faramroze Engineer & Pinar Keskinocak & Larry Pickering, 2013. "Public Health Modeling at the Centers for Disease Control and Prevention," International Series in Operations Research & Management Science, in: Gregory S. Zaric (ed.), Operations Research and Health Care Policy, edition 127, chapter 0, pages 3-16, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-6507-2_1
    DOI: 10.1007/978-1-4614-6507-2_1
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