Modelling sexual transmission of HIV: testing the assumptions, validating the predictions
- 1 July 2010
- journal article
- review article
- Published by Wolters Kluwer Health in Current Opinion in HIV and AIDS
- Vol. 5 (4), 269-276
- https://doi.org/10.1097/coh.0b013e32833a51b2
Abstract
To discuss the role of mathematical models of sexual transmission of HIV: the methods used and their impact. We use mathematical modelling of ‘universal test and treat’ as a case study to illustrate wider issues relevant to all modelling of sexual HIV transmission. Mathematical models are used extensively in HIV epidemiology to deduce the logical conclusions arising from one or more sets of assumptions. Simple models lead to broad qualitative understanding, whereas complex models can encode more realistic assumptions and, thus, be used for predictive or operational purposes. An overreliance on model analysis in which assumptions are untested and input parameters cannot be estimated should be avoided. Simple models providing bold assertions have provided compelling arguments in recent public health policy, but may not adequately reflect the uncertainty inherent in the analysis.Keywords
This publication has 72 references indexed in Scilit:
- Should we try to eliminate HIV epidemics by using a ‘Test and Treat’ strategy?AIDS, 2010
- Examining the promise of HIV elimination by ‘test and treat’ in hyperendemic settingsAIDS, 2010
- Acyclovir and Transmission of HIV-1 from Persons Infected with HIV-1 and HSV-2New England Journal of Medicine, 2010
- Estimating the public health impact of the effect of herpes simplex virus suppressive therapy on plasma HIV-1 viral loadAIDS, 2009
- Universal voluntary HIV testing with immediate antiretroviral therapy as a strategy for elimination of HIV transmission: a mathematical modelThe Lancet, 2009
- Population-level effect of HSV-2 therapy on the incidence of HIV in sub-Saharan AfricaSexually Transmitted Infections, 2008
- Progress and challenges in modelling country-level HIV/AIDS epidemics: the UNAIDS Estimation and Projection Package 2007Sexually Transmitted Infections, 2008
- Modelling the impact and cost-effectiveness of the HIV intervention programme amongst commercial sex workers in Ahmedabad, Gujarat, IndiaBMC Public Health, 2007
- Predicting the epidemiological impact of antiretroviral allocation strategies in KwaZulu-Natal: The effect of the urban–rural divideProceedings of the National Academy of Sciences, 2006
- Declines in HIV prevalence can be associated with changing sexual behaviour in Uganda, urban Kenya, Zimbabwe, and urban HaitiSexually Transmitted Infections, 2006