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Polio Eradicators Use Integrated Analytical Models to Make Better Decisions

Author

Listed:
  • Kimberly M. Thompson

    (Kid Risk, Inc., Orlando, Florida 32832)

  • Radboud J. Duintjer Tebbens

    (Kid Risk, Inc., Orlando, Florida 32832)

  • Mark A. Pallansch

    (U.S. Centers for Disease Control and Prevention, Atlanta, Georgia 30333)

  • Steven G.F. Wassilak

    (U.S. Centers for Disease Control and Prevention, Atlanta, Georgia 30333)

  • Stephen L. Cochi

    (U.S. Centers for Disease Control and Prevention, Atlanta, Georgia 30333)

Abstract

Achieving global polio eradication requires that global stakeholders coordinate and cooperate to invest human and financial resources in interventions that prevent virus transmission. Reaching this goal depends on effective tools and interventions, and their optimal use. Poliovirus transmission occurs in a complex global system with rapidly evolving viruses that readily cross international borders. The U.S. Centers for Disease Control and Prevention, one of four spearheading partners of the Global Polio Eradication Initiative (GPEI), initiated a collaboration with Kid Risk, Inc. to develop and apply integrated analytical models to answer high-stakes policy questions related to managing the risks of polioviruses with consideration of human health and economic outcomes. Over the last decade, the collaboration innovatively combined numerous operations research and management science tools, including simulation, decision and risk analysis, system dynamics, and optimization to help policy makers understand and quantify the implications of their choices. These integrated modeling efforts helped motivate faster responses to polio outbreaks, leading to a global resolution and significantly reduced response time and outbreak sizes. Insights from the models also underpinned a 192-country resolution to coordinate global cessation of the use of one of the two vaccines after wild poliovirus eradication (i.e., allowing continued use of the other vaccine as desired). Finally, the model results helped us to make the economic case for a continued commitment to polio eradication by quantifying the value of prevention and showing the health and economic outcomes associated with the alternatives. The work helped to raise the billions of dollars needed to support polio eradication. The investments will prevent devastating cases of polio and realize an estimated $40–$50 billion in net benefits by the countries covered by the GPEI, while protecting the significantly larger net benefits enjoyed by the countries that stopped wild poliovirus transmission without support of the GPEI.

Suggested Citation

  • Kimberly M. Thompson & Radboud J. Duintjer Tebbens & Mark A. Pallansch & Steven G.F. Wassilak & Stephen L. Cochi, 2015. "Polio Eradicators Use Integrated Analytical Models to Make Better Decisions," Interfaces, INFORMS, vol. 45(1), pages 5-25, February.
  • Handle: RePEc:inm:orinte:v:45:y:2015:i:1:p:5-25
    DOI: 10.1287/inte.2014.0769
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    References listed on IDEAS

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    1. Kimberly M. Thompson & Radboud J. Duintjer Tebbens & Mark A. Pallansch & Olen M. Kew & Roland W. Sutter & R. Bruce Aylward & Margaret Watkins & Howard Gary & James P. Alexander & Linda Venczel & Denis, 2006. "Development and Consideration of Global Policies for Managing the Future Risks of Poliovirus Outbreaks: Insights and Lessons Learned Through Modeling," Risk Analysis, John Wiley & Sons, vol. 26(6), pages 1571-1580, December.
    2. Esther De Gourville & Radboud J. Duintjer Tebbens & Nalinee Sangrujee & Mark A. Pallansch & Kimberly M. Thompson, 2006. "Global Surveillance and the Value of Information: The Case of the Global Polio Laboratory Network," Risk Analysis, John Wiley & Sons, vol. 26(6), pages 1557-1569, December.
    3. Thompson, K.M. & Duintjer Tebbens, R.J. & Pallansch, M.A. & Kew, O.M. & Sutter, R.W. & Aylward, R.B. & Watkins, M. & Gary Jr., H.E. & Alexander, J. & Jafari, H. & Cochi, S.L., 2008. "The risks, costs, and benefits of possible future global policies for managing polioviruses," American Journal of Public Health, American Public Health Association, vol. 98(7), pages 1322-1330.
    4. Radboud J. Duintjer Tebbens & Kimberly M. Thompson, 2009. "Priority Shifting and the Dynamics of Managing Eradicable Infectious Diseases," Management Science, INFORMS, vol. 55(4), pages 650-663, April.
    5. Radboud J. Duintjer Tebbens & Mark A. Pallansch & Olen M. Kew & Roland W. Sutter & R. Bruce Aylward & Margaret Watkins & Howard Gary & James Alexander & Hamid Jafari & Stephen L. Cochi & Kimberly M. T, 2008. "Uncertainty and Sensitivity Analyses of a Decision Analytic Model for Posteradication Polio Risk Management," Risk Analysis, John Wiley & Sons, vol. 28(4), pages 855-876, August.
    6. Kimberly M. Thompson, 2013. "Modeling Poliovirus Risks and the Legacy of Polio Eradication," Risk Analysis, John Wiley & Sons, vol. 33(4), pages 505-515, April.
    7. Radboud J. Duintjer Tebbens & Mark A. Pallansch & Dominika A. Kalkowska & Steven G. F. Wassilak & Stephen L. Cochi & Kimberly M. Thompson, 2013. "Characterizing Poliovirus Transmission and Evolution: Insights from Modeling Experiences with Wild and Vaccine‐Related Polioviruses," Risk Analysis, John Wiley & Sons, vol. 33(4), pages 703-749, April.
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    Cited by:

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    3. Kimberly M. Thompson, 2016. "Evolution and Use of Dynamic Transmission Models for Measles and Rubella Risk and Policy Analysis," Risk Analysis, John Wiley & Sons, vol. 36(7), pages 1383-1403, July.
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    5. Konrad, Renata A. & Maass, Kayse Lee & Dimas, Geri L. & Trapp, Andrew C., 2023. "Perspectives on how to conduct responsible anti-human trafficking research in operations and analytics," European Journal of Operational Research, Elsevier, vol. 309(1), pages 319-329.
    6. Koen Peters & Sérgio Silva & Tim Sergio Wolter & Luis Anjos & Nina van Ettekoven & Éric Combette & Anna Melchiori & Hein Fleuren & Dick den Hertog & Özlem Ergun, 2022. "UN World Food Programme: Toward Zero Hunger with Analytics," Interfaces, INFORMS, vol. 52(1), pages 8-26, January.
    7. Ryan P. Scott & Alison C. Cullen & Guillaume Chabot‐Couture, 2021. "Disease Surveillance Investments and Administration: Limits to Information Value in Pakistan Polio Eradication," Risk Analysis, John Wiley & Sons, vol. 41(2), pages 273-288, February.
    8. Özge Karanfil & Niyousha Hosseinichimeh & Jim Duggan, 2020. "System dynamics and bio‐medical modeling," System Dynamics Review, System Dynamics Society, vol. 36(4), pages 389-396, October.
    9. Kimberly M. Thompson, 2017. "Modeling and Managing the Risks of Measles and Rubella: A Global Perspective Part II," Risk Analysis, John Wiley & Sons, vol. 37(6), pages 1041-1051, June.
    10. John Sterman, 2018. "System dynamics at sixty: the path forward," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 5-47, January.
    11. Jérémie Gallien & Stephen C. Graves & Alan Scheller-Wolf, 2016. "OM Forum—Practice-Based Research in Operations Management: What It Is, Why Do It, Related Challenges, and How to Overcome Them," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 5-14, February.
    12. Kimberly M. Thompson & Cassie L. Odahowski & James L. Goodson & Susan E. Reef & Robert T. Perry, 2016. "Synthesis of Evidence to Characterize National Measles and Rubella Exposure and Immunization Histories," Risk Analysis, John Wiley & Sons, vol. 36(7), pages 1427-1458, July.
    13. Kimberly M. Thompson & Dominika A. Kalkowska, 2021. "Reflections on Modeling Poliovirus Transmission and the Polio Eradication Endgame," Risk Analysis, John Wiley & Sons, vol. 41(2), pages 229-247, February.
    14. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.

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