2019
DOI: 10.1371/journal.pcbi.1007561
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Large benefits to youth-focused HIV treatment-as-prevention efforts in generalized heterosexual populations: An agent-based simulation model

Abstract: Predominantly heterosexual HIV-1 epidemics like those in sub-Saharan Africa continue to have high HIV incidence in young people. We used a stochastic, agent-based model for age-disparate networks to test the hypothesis that focusing uptake and retention of ART among youth could enhance the efficiency of treatment as prevention (TasP) campaigns. We used the model to identify strategies that reduce incidence to negligible levels (i.e., < 0.1 cases/100 person-years) 20–25 years after initiation of a targeted TasP… Show more

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Cited by 7 publications
(2 citation statements)
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References 47 publications
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“…The expansion of testing associated with the immediate initiation of treatment after an HIV diagnosis may promote a decrease in the rate of detection of the virus among young people [ 38 ]. In Brazil, in the general public, the expansion of testing and implementation of TasP promoted an immediate decreasing effect on the AIDS detection rate by 62% and on the AIDS mortality rate by 79% [ 39 ].…”
Section: Discussionmentioning
confidence: 99%
“…The expansion of testing associated with the immediate initiation of treatment after an HIV diagnosis may promote a decrease in the rate of detection of the virus among young people [ 38 ]. In Brazil, in the general public, the expansion of testing and implementation of TasP promoted an immediate decreasing effect on the AIDS detection rate by 62% and on the AIDS mortality rate by 79% [ 39 ].…”
Section: Discussionmentioning
confidence: 99%
“…The disease is now considered a chronic illness in the developed world although it still remains a major challenge to public health and human rights in the rest of the world. The worldwide HIV population is actually increasing due to the longer life span of people or patients living with HIV (PWH) with the advent of antiretroviral therapy (ART) in spite of a 16% decrease in the global rate of new infections since 2010 (Challacombe, 2016), though some modelling suggests an increase in some groups (Mittler et al., 2019).…”
Section: Introductionmentioning
confidence: 99%