Literature DB >> 24009342

Prospects of elimination of HIV with test-and-treat strategy.

Mirjam E Kretzschmar1, Maarten F Schim van der Loeff, Paul J Birrell, Daniela De Angelis, Roel A Coutinho.   

Abstract

Recently, there has been much debate about the prospects of eliminating HIV from high endemic countries by a test-and-treat strategy. This strategy entails regular HIV testing in the entire population and starting antiretroviral treatment immediately in all who are found to be HIV infected. We present the concept of the elimination threshold and investigate under what conditions of treatment uptake and dropout elimination of HIV is feasible. We used a deterministic model incorporating an accurate description of disease progression and variable infectivity. We derived explicit expressions for the basic reproduction number and the elimination threshold. Using estimates of exponential growth rates of HIV during the initial phase of epidemics, we investigated for which populations elimination is within reach. The concept of the elimination threshold allows an assessment of the prospects of elimination of HIV from information in the early phase of the epidemic. The relative elimination threshold quantifies prospects of elimination independently of the details of the transmission dynamics. Elimination of HIV by test-and-treat is only feasible for populations with very low reproduction numbers or if the reproduction number is lowered significantly as a result of additional interventions. Allowing low infectiousness during primary infection, the likelihood of elimination becomes somewhat higher. The elimination threshold is a powerful tool for assessing prospects of elimination from available data on epidemic growth rates of HIV. Empirical estimates of the epidemic growth rate from phylogenetic studies were used to assess the potential for elimination in specific populations.

Entities:  

Keywords:  HIV elimination; mathematical model; primary HIV infection; treatment coverage

Mesh:

Year:  2013        PMID: 24009342      PMCID: PMC3785722          DOI: 10.1073/pnas.1301801110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  43 in total

1.  Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission.

Authors:  P van den Driessche; James Watmough
Journal:  Math Biosci       Date:  2002 Nov-Dec       Impact factor: 2.144

2.  Should we try to eliminate HIV epidemics by using a 'Test and Treat' strategy?

Authors:  Bradley G Wagner; James S Kahn; Sally Blower
Journal:  AIDS       Date:  2010-03-13       Impact factor: 4.177

3.  How generation intervals shape the relationship between growth rates and reproductive numbers.

Authors:  J Wallinga; M Lipsitch
Journal:  Proc Biol Sci       Date:  2007-02-22       Impact factor: 5.349

4.  High coverage of ART associated with decline in risk of HIV acquisition in rural KwaZulu-Natal, South Africa.

Authors:  Frank Tanser; Till Bärnighausen; Erofili Grapsa; Jaffer Zaidi; Marie-Louise Newell
Journal:  Science       Date:  2013-02-22       Impact factor: 47.728

5.  Comparative population dynamics of HIV-1 subtypes B and C: subtype-specific differences in patterns of epidemic growth.

Authors:  Polly R Walker; Oliver G Pybus; Andrew Rambaut; Edward C Holmes
Journal:  Infect Genet Evol       Date:  2004-12-07       Impact factor: 3.342

6.  The contribution of steady and casual partnerships to the incidence of HIV infection among homosexual men in Amsterdam.

Authors:  Maria Xiridou; Ronald Geskus; John De Wit; Roel Coutinho; Mirjam Kretzschmar
Journal:  AIDS       Date:  2003-05-02       Impact factor: 4.177

7.  Correcting the actual reproduction number: a simple method to estimate R(0) from early epidemic growth data.

Authors:  Hiroshi Nishiura
Journal:  Int J Environ Res Public Health       Date:  2010-01-21       Impact factor: 3.390

Review 8.  HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.

Authors: 
Journal:  PLoS Med       Date:  2012-07-10       Impact factor: 11.069

9.  HIV treatment as prevention: systematic comparison of mathematical models of the potential impact of antiretroviral therapy on HIV incidence in South Africa.

Authors:  Jeffrey W Eaton; Leigh F Johnson; Joshua A Salomon; Till Bärnighausen; Eran Bendavid; Anna Bershteyn; David E Bloom; Valentina Cambiano; Christophe Fraser; Jan A C Hontelez; Salal Humair; Daniel J Klein; Elisa F Long; Andrew N Phillips; Carel Pretorius; John Stover; Edward A Wenger; Brian G Williams; Timothy B Hallett
Journal:  PLoS Med       Date:  2012-07-10       Impact factor: 11.069

10.  HIV incidence in men who have sex with men in England and Wales 2001-10: a nationwide population study.

Authors:  Paul J Birrell; O Noel Gill; Valerie C Delpech; Alison E Brown; Sarika Desai; Tim R Chadborn; Brian D Rice; Daniela De Angelis
Journal:  Lancet Infect Dis       Date:  2013-02-01       Impact factor: 25.071

View more
  27 in total

1.  Impact of early-stage HIV transmission on treatment as prevention.

Authors:  Kimberly A Powers; Mirjam E Kretzschmar; William C Miller; Myron S Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-03       Impact factor: 11.205

Review 2.  Role of oral pre-exposure prophylaxis (PrEP) in current and future HIV prevention strategies.

Authors:  David N Burns; Cynthia Grossman; Jim Turpin; Vanessa Elharrar; Fulvia Veronese
Journal:  Curr HIV/AIDS Rep       Date:  2014-12       Impact factor: 5.071

Review 3.  Toward an endgame: finding and engaging people unaware of their HIV-1 infection in treatment and prevention.

Authors:  David N Burns; Victor DeGruttola; Christopher D Pilcher; Mirjam Kretzschmar; Christopher M Gordon; Elizabeth H Flanagan; Christopher Duncombe; Myron S Cohen
Journal:  AIDS Res Hum Retroviruses       Date:  2014-02-11       Impact factor: 2.205

Review 4.  Mobility and its Effects on HIV Acquisition and Treatment Engagement: Recent Theoretical and Empirical Advances.

Authors:  Carol S Camlin; Edwin D Charlebois
Journal:  Curr HIV/AIDS Rep       Date:  2019-08       Impact factor: 5.071

5.  Rate and determinants of residual viremia in multidrug-experienced patients successfully treated with raltegravir-based regimens.

Authors:  Silvia Baroncelli; Maria Franca Pirillo; Clementina Maria Galluzzo; Anna Degli Antoni; Nicoletta Ladisa; Daniela Francisci; Gabriella d'Ettorre; Daniela Segala; Angela Vivarelli; Federica Sozio; Oscar Cirioni; Liliana Elena Weimer; Vincenzo Fragola; Giustino Parruti; Marco Floridia
Journal:  AIDS Res Hum Retroviruses       Date:  2015-01       Impact factor: 2.205

6.  HIV testing practices and the potential role of HIV self-testing among men who have sex with men in Mexico.

Authors:  Catherine E Oldenburg; Katie B Biello; Amaya G Perez-Brumer; Joshua Rosenberger; David S Novak; Kenneth H Mayer; Matthew J Mimiaga
Journal:  Int J STD AIDS       Date:  2016-07-11       Impact factor: 1.359

7.  Why the proportion of transmission during early-stage HIV infection does not predict the long-term impact of treatment on HIV incidence.

Authors:  Jeffrey W Eaton; Timothy B Hallett
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-13       Impact factor: 11.205

8.  Estimation and Short-Term Prediction of the Course of the HIV Epidemic Using Demographic and Health Survey Methodology-Like Data.

Authors:  Stéphanie Blaizot; Benjamin Riche; David Maman; Irene Mukui; Beatrice Kirubi; Jean-François Etard; René Ecochard
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

9.  Estimating HIV Incidence, Time to Diagnosis, and the Undiagnosed HIV Epidemic Using Routine Surveillance Data.

Authors:  Ard van Sighem; Fumiyo Nakagawa; Daniela De Angelis; Chantal Quinten; Daniela Bezemer; Eline Op de Coul; Matthias Egger; Frank de Wolf; Christophe Fraser; Andrew Phillips
Journal:  Epidemiology       Date:  2015-09       Impact factor: 4.822

10.  Phylodynamic inference for structured epidemiological models.

Authors:  David A Rasmussen; Erik M Volz; Katia Koelle
Journal:  PLoS Comput Biol       Date:  2014-04-17       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.