Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa
- PMID: 29568647
- PMCID: PMC5843995
- DOI: 10.4102/sajhivmed.v19i1.756
Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa
Abstract
We review key mathematical models of the South African human immunodeficiency virus (HIV) epidemic from the early 1990s onwards. In our descriptions, we sometimes differentiate between the concepts of a model world and its mathematical or computational implementation. The model world is the conceptual realm in which we explicitly declare the rules - usually some simplification of 'real world' processes as we understand them. Computing details of informative scenarios in these model worlds is a task requiring specialist knowledge, but all other aspects of the modelling process, from describing the model world to identifying the scenarios and interpreting model outputs, should be understandable to anyone with an interest in the epidemic.
Conflict of interest statement
Nathan Geffen occupied senior positions, both as a staff and executive member, in the Treatment Action Campaign (TAC) from 2000 to 2013. Both he and the TAC were active participants in the debates described in this article. He has received bursary contributions towards his PhD research from the Centre for Social Science Research and the South African Centre for Epidemiological Modelling and Analysis. Alex Welte has no disclosures.
References
-
- Delva W, Wilson DP, Abu-Raddad L, et al. HIV treatment as prevention: Principles of good HIV epidemiology modelling for public health decision-making in all modes of prevention and evaluation. PLOS Med. 2012. July 10;9(7):e1001239 https://doi.org/10.1371/journal.pmed.1001239 - DOI - PMC - PubMed
-
- Vynnycky E, White R. An introduction to infectious disease modelling. 1st ed. New York: Oxford University Press; 2010. 400 p.
-
- Garnett G. An introduction to mathematical models in sexually transmitted disease epidemiology. Sex Transm Infect. 2002. February;78(1):7–12. https://doi.org/10.1136/sti.78.1.7 - DOI - PMC - PubMed
-
- Johnson L. Notes: An introduction to the mathematics of HIV/AIDS modelling. [publisher unknown]; 2004.
-
- Dorrington RE. Expert affidavit in TAC Competition Commission complaint [homepage on the Internet]. 2002. [cited 2016 May 18]. Available from: http://www.tac.org.za/Documents/DrugCompaniesCC/TAC_Dorrington_Final.doc
LinkOut - more resources
Full Text Sources
Other Literature Sources