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Mathematical Modelling of the Transmission Dynamics of HIV Infection and AIDS: a Review

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  • Valerie Isham

Abstract

Mathematical modelling of the spread of infection is reviewed in the context of the transmission of the human immunodeficiency virus (HIV) and the acquired immune deficiency syndrome (AIDS). The paper is based in part on the contributions by the participants to an informal workshop on Mathematical Modelling of AIDS organised by the Royal Statistical Society and held in May 1987.

Suggested Citation

  • Valerie Isham, 1988. "Mathematical Modelling of the Transmission Dynamics of HIV Infection and AIDS: a Review," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 151(1), pages 5-30, January.
    • Handle: RePEc:bla:jorssa:v:151:y:1988:i:1:p:5-30
    DOI: 10.2307/2982179
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    Cited by:

    1. Peter Cramton & Edward Kaplan & A. David Paltiel, 1989. "Nonrandom Mixing Models of HIV Transmission," Papers of Peter Cramton 89aids, University of Maryland, Department of Economics - Peter Cramton, revised 09 Jun 1998.
    2. Lagergren, Marten, 1998. "What is the role and contribution of models to management and research in the health services? A view from Europe," European Journal of Operational Research, Elsevier, vol. 105(2), pages 257-266, March.
    3. Chandra Pedamallu & Linet Ozdamar & Erik Kropat & Gerhard-Wilhelm Weber, 2012. "A system dynamics model for intentional transmission of HIV/AIDS using cross impact analysis," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 319-336, June.
    4. Harper, P. R. & Shahani, A. K., 2003. "A decision support system for the care of HIV and AIDS patients in India," European Journal of Operational Research, Elsevier, vol. 147(1), pages 187-197, May.
    5. Benjamin Armbruster & Ekkehard Beck & Mustafa Waheed, 2014. "The importance of extended high viremics in models of HIV spread in South Africa," Health Care Management Science, Springer, vol. 17(2), pages 182-193, June.

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