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Designing HIV Vaccination Policies: Subtypes and Cross-Immunity

Author

Listed:
  • Travis C. Porco

    (San Francisco Department of Public Health, Community Health Epidemiology Section, 25 Van Ness Avenue, Suite 710, San Francisco, California 94102)

  • Sally M. Blower

    (Department of Microbiology and Immunology, University of California, San Francisco, 513 Parnassus, Rm HSE 401, Box 0414, San Francisco, California 94143-0414)

Abstract

We developed and used mathematical models to assess vaccine programs for controlling two subtypes of HIV, both for developing countries where more than one subtype is present and for countries where only one subtype is present but other subtypes may invade. We began by formulating a model of the intrinsic transmission dynamics of the two HIV subtypes and then extended this model to include the effects of a prophylactic vaccine that provides a degree of protection against infection by one subtype and vaccine-induced cross-immunity against infection by the second subtype. Using these models, we assessed the potential impact of using a prophylactic vaccine when one subtype of HIV is endemic and a second subtype is introduced into the community. In each case, mass vaccination could result in one of four possible outcomes: (1) both subtypes are eradicated, (2) the endemic subtype persists and the invading subtype is eradicated, (3) the endemic subtype is eradicated and the invading subtype persists, or (4) both subtypes coexist.

Suggested Citation

  • Travis C. Porco & Sally M. Blower, 1998. "Designing HIV Vaccination Policies: Subtypes and Cross-Immunity," Interfaces, INFORMS, vol. 28(3), pages 167-190, June.
    • Handle: RePEc:inm:orinte:v:28:y:1998:i:3:p:167-190
    DOI: 10.1287/inte.28.3.167
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    Cited by:

    1. Zhao, Yanan & Jiang, Daqing & O’Regan, Donal, 2013. "The extinction and persistence of the stochastic SIS epidemic model with vaccination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4916-4927.
    2. M S Rauner & S C Brailsford & S Flessa, 2005. "Use of discrete-event simulation to evaluate strategies for the prevention of mother-to-child transmission of HIV in developing countries," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 222-233, February.
    3. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    4. Ece Zeliha Demirci & Nesim Kohen Erkip, 2020. "Designing intervention scheme for vaccine market: a bilevel programming approach," Flexible Services and Manufacturing Journal, Springer, vol. 32(2), pages 453-485, June.

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