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Framework for Optimal Global Vaccine Stockpile Design for Vaccine‐Preventable Diseases: Application to Measles and Cholera Vaccines as Contrasting Examples

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  • Kimberly M. Thompson
  • Radboud J. Duintjer Tebbens

Abstract

Managing the dynamics of vaccine supply and demand represents a significant challenge with very high stakes. Insufficient vaccine supplies can necessitate rationing, lead to preventable adverse health outcomes, delay the achievements of elimination or eradication goals, and/or pose reputation risks for public health authorities and/or manufacturers. This article explores the dynamics of global vaccine supply and demand to consider the opportunities to develop and maintain optimal global vaccine stockpiles for universal vaccines, characterized by large global demand (for which we use measles vaccines as an example), and nonuniversal (including new and niche) vaccines (for which we use oral cholera vaccine as an example). We contrast our approach with other vaccine stockpile optimization frameworks previously developed for the United States pediatric vaccine stockpile to address disruptions in supply and global emergency response vaccine stockpiles to provide on‐demand vaccines for use in outbreaks. For measles vaccine, we explore the complexity that arises due to different formulations and presentations of vaccines, consideration of rubella, and the context of regional elimination goals. We conclude that global health policy leaders and stakeholders should procure and maintain appropriate global vaccine rotating stocks for measles and rubella vaccine now to support current regional elimination goals, and should probably also do so for other vaccines to help prevent and control endemic or epidemic diseases. This work suggests the need to better model global vaccine supplies to improve efficiency in the vaccine supply chain, ensure adequate supplies to support elimination and eradication initiatives, and support progress toward the goals of the Global Vaccine Action Plan.

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  • Kimberly M. Thompson & Radboud J. Duintjer Tebbens, 2016. "Framework for Optimal Global Vaccine Stockpile Design for Vaccine‐Preventable Diseases: Application to Measles and Cholera Vaccines as Contrasting Examples," Risk Analysis, John Wiley & Sons, vol. 36(7), pages 1487-1509, July.
  • Handle: RePEc:wly:riskan:v:36:y:2016:i:7:p:1487-1509
    DOI: 10.1111/risa.12265
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    References listed on IDEAS

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    1. Santibanez, T.A. & Santoli, J.M. & Barker, L.E., 2006. "Differential effects of the DTaP and MMR vaccine shortages on timeliness of childhood vaccination coverage," American Journal of Public Health, American Public Health Association, vol. 96(4), pages 691-696.
    2. Groom, A.V. & Cheek, J.E. & Bryan, R.T., 2006. "Effect of a national vaccine shortage on vaccine coverage for American Indian/Alaska native children," American Journal of Public Health, American Public Health Association, vol. 96(4), pages 697-701.
    3. Kimberly M. Thompson & Radboud J. Duintjer Tebbens, 2006. "Retrospective Cost‐Effectiveness Analyses for Polio Vaccination in the United States," Risk Analysis, John Wiley & Sons, vol. 26(6), pages 1423-1440, December.
    4. Kimberly M. Thompson & Mark A. Pallansch & Radboud J. Duintjer Tebbens & Steve G. Wassilak & Jong‐Hoon Kim & Stephen L. Cochi, 2013. "Preeradication Vaccine Policy Options for Poliovirus Infection and Disease Control," Risk Analysis, John Wiley & Sons, vol. 33(4), pages 516-543, April.
    5. Kimberly M. Thompson & Mark A. Pallansch & Radboud J. Duintjer Tebbens & Steve G. Wassilak & Stephen L. Cochi, 2013. "Modeling Population Immunity to Support Efforts to End the Transmission of Live Polioviruses," Risk Analysis, John Wiley & Sons, vol. 33(4), pages 647-663, April.
    6. Sheldon Jacobson & Edward Sewell & Ruben Proano, 2006. "An analysis of the pediatric vaccine supply shortage problem," Health Care Management Science, Springer, vol. 9(4), pages 371-389, November.
    7. Kimberly M. Thompson & Radboud J. Duintjer Tebbens & Mark A. Pallansch, 2006. "Evaluation of Response Scenarios to Potential Polio Outbreaks Using Mathematical Models," Risk Analysis, John Wiley & Sons, vol. 26(6), pages 1541-1556, December.
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    1. Radboud J. Duintjer Tebbens & Kimberly M. Thompson, 2018. "Using integrated modeling to support the global eradication of vaccine‐preventable diseases," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 78-120, January.
    2. van Ackere, Ann & Schulz, Peter J., 2020. "Explaining vaccination decisions: A system dynamics model of the interaction between epidemiological and behavioural factors," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).

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