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Using an Integer Programming Model to Determine the Price of Combination Vaccines for Childhood Immunization

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  • Edward Sewell
  • Sheldon Jacobson

Abstract

The Recommended Childhood Immunization Schedule has become sufficiently crowded that the prospect of adding additional vaccines to this schedule may not be well received by either health-care providers or parents/guardians. This has encouraged vaccine manufacturers to develop combination vaccines that can permit new vaccines to be added to the schedule without requiring children to be exposed to an unacceptable number of injections during a single clinic visit. This paper develops an integer programming model to assess the economic premium that exists in having combination vaccines available. The results of this study suggest that combination vaccines provide a cost effective alternative to individual vaccines and that further developments and innovations in this area by vaccine manufacturers can provide significant economic and societal benefits. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • Edward Sewell & Sheldon Jacobson, 2003. "Using an Integer Programming Model to Determine the Price of Combination Vaccines for Childhood Immunization," Annals of Operations Research, Springer, vol. 119(1), pages 261-284, March.
    • Handle: RePEc:spr:annopr:v:119:y:2003:i:1:p:261-284:10.1023/a:1022955111568
    DOI: 10.1023/A:1022955111568
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    Citations

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    Cited by:

    1. Sang-Man Kim & Arben Asllani, 2013. "Using simulation to establish appropriate vaccination rates and copayment policies from a cost perspective," Service Business, Springer;Pan-Pacific Business Association, vol. 7(3), pages 437-457, September.
    2. Proano, Ruben A. & Jacobson, Sheldon H. & Zhang, Wenbo, 2012. "Making combination vaccines more accessible to low-income countries: The antigen bundle pricing problem," Omega, Elsevier, vol. 40(1), pages 53-64, January.
    3. Shane N. Hall & Sheldon H. Jacobson & Edward C. Sewell, 2008. "An Analysis of Pediatric Vaccine Formulary Selection Problems," Operations Research, INFORMS, vol. 56(6), pages 1348-1365, December.
    4. Robbins, Matthew J. & Jacobson, Sheldon H., 2011. "Pediatric vaccine procurement policy: The monopsonist's problem," Omega, Elsevier, vol. 39(6), pages 589-597, December.
    5. Robbins, Matthew J. & Lunday, Brian J., 2016. "A bilevel formulation of the pediatric vaccine pricing problem," European Journal of Operational Research, Elsevier, vol. 248(2), pages 634-645.
    6. Lunday, Brian J. & Robbins, Matthew J., 2019. "Collaboratively-developed vaccine pricing and stable profit sharing mechanisms," Omega, Elsevier, vol. 84(C), pages 102-113.
    7. Matthew J. Robbins & Sheldon H. Jacobson & Uday V. Shanbhag & Banafsheh Behzad, 2014. "The Weighted Set Covering Game: A Vaccine Pricing Model for Pediatric Immunization," INFORMS Journal on Computing, INFORMS, vol. 26(1), pages 183-198, February.

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