Literature DB >> 25686682

Modelling the HIV epidemic among MSM in the United Kingdom: quantifying the contributions to HIV transmission to better inform prevention initiatives.

Narat Punyacharoensin1, William John Edmunds, Daniela De Angelis, Valerie Delpech, Graham Hart, Jonathan Elford, Alison Brown, Noel Gill, Richard G White.   

Abstract

OBJECTIVES: HIV is a major public health problem among MSM in the United Kingdom with around 2400 new infections annually. We quantified the contribution of biological and behavioural factors.
DESIGN: Modelling study.
METHODS: A partnership-based model of HIV transmission among UK MSM aged 15-64 years was developed and calibrated to time series HIV prevalence. The calibration was validated using multiple surveillance datasets. Population-attributable fractions were used to estimate the contribution of behavioural and biological factors to HIV transmission over the period 2001-2002, 2014-2015, and 2019-2020.
RESULTS: The contribution of most biological and behavioural factors was relatively constant over time, with the key group sustaining HIV transmission being higher-sexual activity MSM aged below 35 years living with undiagnosed HIV. The effect of primary HIV infection was relatively small with 2014-2015 population-attributable fraction of 10% (3-28%) in comparison with other subsequent asymptomatic stages. Diagnosed men who were not on antiretroviral therapy (ART) currently contributed 26% (14-39%) of net infections, whereas ART-treated MSM accounted for 17% (10-24%). A considerable number of new infections are also likely to occur within long-term relationships.
CONCLUSION: The majority of the new HIV infections among MSM in the United Kingdom during 2001-2020 is expected to be accounted for by a small group of younger and highly sexually active individuals, living with undiagnosed HIV in the asymptomatic stage. Bringing this group into HIV/AIDS care by improving testing uptake is a vital step for preventing onward transmission and will determine the success of using ART as prevention.

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Year:  2015        PMID: 25686682     DOI: 10.1097/QAD.0000000000000525

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  18 in total

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Journal:  Int J STD AIDS       Date:  2021-09-26       Impact factor: 1.359

3.  Risk stratification in compartmental epidemic models: Where to draw the line?

Authors:  Sze-Chuan Suen; Jeremy D Goldhaber-Fiebert; Margaret L Brandeau
Journal:  J Theor Biol       Date:  2017-06-09       Impact factor: 2.405

4.  Factors associated with sexual risk behaviors with non-steady partners and lack of recent HIV testing among German men who have sex with men in steady relationships: results from a cross-sectional internet survey.

Authors:  Sarah C Kramer; Jochen Drewes; Martin Kruspe; Ulrich Marcus
Journal:  BMC Public Health       Date:  2015-07-24       Impact factor: 3.295

5.  HIV risk perception and testing behaviours among men having sex with men (MSM) reporting potential transmission risks in the previous 12 months from a large online sample of MSM living in Germany.

Authors:  Ulrich Marcus; Martyna Gassowski; Jochen Drewes
Journal:  BMC Public Health       Date:  2016-10-22       Impact factor: 3.295

6.  Potential impact on HIV incidence of higher HIV testing rates and earlier antiretroviral therapy initiation in MSM.

Authors:  Andrew N Phillips; Valentina Cambiano; Alec Miners; Fiona C Lampe; Alison Rodger; Fumiyo Nakagawa; Alison Brown; O Noel Gill; Daniela De Angelis; Jonathan Elford; Graham Hart; Anne M Johnson; Jens D Lundgren; Simon Collins; Valerie Delpech
Journal:  AIDS       Date:  2015-09-10       Impact factor: 4.177

7.  Improving ART programme retention and viral suppression are key to maximising impact of treatment as prevention - a modelling study.

Authors:  Nicky McCreesh; Ioannis Andrianakis; Rebecca N Nsubuga; Mark Strong; Ian Vernon; Trevelyan J McKinley; Jeremy E Oakley; Michael Goldstein; Richard Hayes; Richard G White
Journal:  BMC Infect Dis       Date:  2017-08-09       Impact factor: 3.090

8.  Estimating the HIV undiagnosed population in Catalonia, Spain: descriptive and comparative data analysis to identify differences in MSM stratified by migrant and Spanish-born population.

Authors:  Juliana Maria Reyes-Urueña; Colin N J Campbell; Núria Vives; Anna Esteve; Juan Ambrosioni; Cristina Tural; Elena Ferrer; Gemma Navarro; Lluis Force; Isabel García; Àngels Masabeu; Josep M Vilaró; Patricia García de Olalla; Joan Artur Caylà; Josep M Miró; Jordi Casabona
Journal:  BMJ Open       Date:  2018-02-28       Impact factor: 2.692

9.  The prevalence and correlates of undiagnosed HIV among Australian gay and bisexual men: results of a national, community-based, bio-behavioural survey.

Authors:  Martin Holt; Toby Lea; Jason Asselin; Margaret Hellard; Garrett Prestage; David Wilson; John de Wit; Mark Stoové
Journal:  J Int AIDS Soc       Date:  2015-11-11       Impact factor: 5.396

10.  Optimizing Human Immunodeficiency Virus Testing Interventions for Men Who Have Sex With Men in the United States: A Modeling Study.

Authors:  Kevin P Delaney; Eli S Rosenberg; Michael R Kramer; Lance A Waller; Patrick S Sullivan
Journal:  Open Forum Infect Dis       Date:  2015-10-20       Impact factor: 3.835

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