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Allocating HIV-prevention resources: Balancing efficiency and equity

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  • Kaplan, E.H.
  • Merson, M.H.

Abstract

The primary goal of HIV prevention is to prevent as many infections as possible. This requires allocating HIV-prevention resources according to cost-effectiveness principles: those activities that prevent more infections per dollar are favored over those that prevent fewer. This is not current practice in the United States, where prevention resources from the federal government to the states flow in proportion to reported AIDS cases. Although such allocations might be considered equitable, more infections could be prevented for the same expenditures were cost-effectiveness principles invoked. The downside of pure cost-effective allocations is that they violate common norms of equity. In this article, we argue for a middle ground that promotes both equity and efficiency in allocating federal HIV-prevention resources.

Suggested Citation

  • Kaplan, E.H. & Merson, M.H., 2002. "Allocating HIV-prevention resources: Balancing efficiency and equity," American Journal of Public Health, American Public Health Association, vol. 92(12), pages 1905-1907.
    • Handle: RePEc:aph:ajpbhl:2002:92:12:1905-1907_0
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    Cited by:

    1. Westerink-Duijzer, L.E. & van Jaarsveld, W.L. & Wallinga, J. & Dekker, R., 2015. "Dose-optimal vaccine allocation over multiple populations," Econometric Institute Research Papers EI2015-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Kaplan, Edward H., 2008. "Adventures in policy modeling! Operations research in the community and beyond," Omega, Elsevier, vol. 36(1), pages 1-9, February.
    3. Emanuele Blasioli & Bahareh Mansouri & Srinivas Subramanya Tamvada & Elkafi Hassini, 2023. "Vaccine Allocation and Distribution: A Review with a Focus on Quantitative Methodologies and Application to Equity, Hesitancy, and COVID-19 Pandemic," SN Operations Research Forum, Springer, vol. 4(2), pages 1-32, June.
    4. Konrad, Renata A., 2019. "Designing awareness campaigns to counter human trafficking: An analytic approach," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 86-93.
    5. Sérgio Santos & Carla Amado & Mauro Santos, 2012. "Assessing the efficiency of mother-to-child HIV prevention in low- and middle-income countries using data envelopment analysis," Health Care Management Science, Springer, vol. 15(3), pages 206-222, September.
    6. Xuecheng Yin & İ. E. Büyüktahtakın, 2021. "A multi-stage stochastic programming approach to epidemic resource allocation with equity considerations," Health Care Management Science, Springer, vol. 24(3), pages 597-622, September.
    7. Sabina Alistar & Elisa Long & Margaret Brandeau & Eduard Beck, 2014. "HIV epidemic control—a model for optimal allocation of prevention and treatment resources," Health Care Management Science, Springer, vol. 17(2), pages 162-181, June.
    8. Jessica L. Heier Stamm & Nicoleta Serban & Julie Swann & Pascale Wortley, 2017. "Quantifying and explaining accessibility with application to the 2009 H1N1 vaccination campaign," Health Care Management Science, Springer, vol. 20(1), pages 76-93, March.
    9. Martial L Ndeffo Mbah & Christopher A Gilligan, 2011. "Resource Allocation for Epidemic Control in Metapopulations," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-10, September.
    10. Lasry, Arielle & Zaric, Gregory S. & Carter, Michael W., 2007. "Multi-level resource allocation for HIV prevention: A model for developing countries," European Journal of Operational Research, Elsevier, vol. 180(2), pages 786-799, July.
    11. Turgay Ayer & Can Zhang & Anthony Bonifonte & Anne C. Spaulding & Jagpreet Chhatwal, 2019. "Prioritizing Hepatitis C Treatment in U.S. Prisons," Operations Research, INFORMS, vol. 67(3), pages 853-873, May.

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