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Current HIV Research

Volume 9 Issue 6
ISSN: 1570-162X
eISSN: 1873-4251

 

   All Titles

  Modelling the Impact of Antiretroviral Therapy on the Epidemic of HIV
  pp.367-382 (16) Authors: Brian G. Williams, Viviane Lima, Eleanor Gouws
 
 
      Abstract

Thirty years after HIV first appeared it has killed close to 30 million people but transmission continues unchecked. In 2009, an estimated 1.8 million lives were lost and 2.6 million more people were infected with HIV [1]. To cut transmission, many social, behavioural and biomedical interventions have been developed, tested and tried but have had little impact on the epidemic in most countries. One substantial success has been the development of combination antiretroviral therapy (ART) that reduces viral load and restores immune function. This raises the possibility of using ART not only to treat people but also to prevent new HIV infections. Here we consider the impact of ART on the transmission of HIV and show how it could help to control the epidemic.

Much needs to be known and understood concerning the impact of early treatment with ART on the prognosis for individual patients and on transmission. We review the current literature on factors associated with modelling treatment for prevention and illustrate the potential impact using existing models. We focus on generalized epidemics in sub- Saharan Africa, with an emphasis on South Africa, where transmission is mainly heterosexual and which account for an estimated 17% of all people living with HIV. We also make reference to epidemics among men who have sex with men and injection drug users where appropriate. We discuss ways in which using treatment as prevention can be taken forward knowing that this can only be the beginning of what must become an inclusive dialogue among all of those concerned to stop acquired immune deficiency syndrome (AIDS).

 
  Keywords: ART, highly active antiretroviral therapy, HIV prevention, mathematical models, circumcision, MTCT, mono-ART, Heterosexual Transmission, Prevention
  Affiliation: South African Centre for Epidemiological Modelling and Analysis (SACEMA), 19 Jonkershoek Road, Stellenbosch, South Africa.
 
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