Literature DB >> 25866062

Modelling the relationship between antiretroviral treatment and HIV prevention: limitations of the Spectrum AIDS Impact Model in a changing policy environment.

Nicoli Nattrass.   

Abstract

This paper shows how two publicly available epidemiological modelling packages, namely the Spectrum AIDS Impact Model and the ASSA2003 AIDS and Demographic Model, predict very different impacts from rolling out highly active antiretroviral treatment (HAART) on new HIV infections. Using South Africa as a case study, it shows that the ASSA2003 model predicts a significant drop in new HIV infections as HAART is rolled out, whereas the Spectrum model assumes that HAART does not have a preventative impact (and in fact generates a small increase in new HIV infections). Users will thus draw different conclusions about the public health benefits of HAART depending on which modelling package they use. Despite being presented as a policy-oriented modelling tool capable of exploring 'what if' questions about the impact of different policy choices, the Spectrum model is illequipped to do so with regard to a HAART rollout. Unlike Spectrum, ASSA2003 is more flexible and its assumptions are clear. Better modelling and more information (including about the relationship between HAART and sexual risk behaviour) is required to develop appropriate public-policy modelling for the HAART era.

Entities:  

Keywords:  DEMOGRAPHIC MODELS; HAART; HEALTH IMPACT; INTERVENTIONS; MATHEMATICAL MODELS; POLICY DEVELOPMENT; SEXUAL RISK BEHAVIOUR; SOUTH AFRICA

Year:  2007        PMID: 25866062     DOI: 10.2989/16085900709490407

Source DB:  PubMed          Journal:  Afr J AIDS Res        ISSN: 1608-5906            Impact factor:   1.300


  4 in total

1.  The authors' reply to Gow et al.: "the state of health economic research in South Africa".

Authors:  Paul Gavaza; Karen L Rascati; Abiola O Oladapo; Star Khoza
Journal:  Pharmacoeconomics       Date:  2013-03       Impact factor: 4.981

2.  The state of health economic research in South Africa.

Authors:  Jeff Gow; Michael Strauss; Alan Whiteside
Journal:  Pharmacoeconomics       Date:  2013-03       Impact factor: 4.981

3.  HIV misconceptions associated with condom use among black South Africans: an exploratory study.

Authors:  Laura M Bogart; Donald Skinner; Lance S Weinhardt; Laura Glasman; Cheryl Sitzler; Yoesrie Toefy; Seth C Kalichman
Journal:  Afr J AIDS Res       Date:  2011-01-01       Impact factor: 1.300

4.  Economic impact of HIV and antiretroviral therapy on education supply in high prevalence regions.

Authors:  Claire L Risley; Lesley J Drake; Donald A P Bundy
Journal:  PLoS One       Date:  2012-11-16       Impact factor: 3.240

  4 in total

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