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What Will It Take to Reduce HIV Incidence in the United States: A Mathematical Modeling Analysis

BACKGROUND: The National HIV/AIDS Strategy has set ambitious goals to improve the epidemic in the United States. However, there is a paucity of usable program-level benchmarks tied to population-level epidemiologic goals. Our objective was to define tangible benchmarks for annual rates along the car...

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Autores principales: Perry, Allison, Kasaie, Parastu, Dowdy, David W, Shah, Maunank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798078/
https://www.ncbi.nlm.nih.gov/pubmed/29423424
http://dx.doi.org/10.1093/ofid/ofy008
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author Perry, Allison
Kasaie, Parastu
Dowdy, David W
Shah, Maunank
author_facet Perry, Allison
Kasaie, Parastu
Dowdy, David W
Shah, Maunank
author_sort Perry, Allison
collection PubMed
description BACKGROUND: The National HIV/AIDS Strategy has set ambitious goals to improve the epidemic in the United States. However, there is a paucity of usable program-level benchmarks tied to population-level epidemiologic goals. Our objective was to define tangible benchmarks for annual rates along the care continuum that are likely to translate to meaningful reductions in incidence. METHODS: We used a validated mathematical model of HIV transmission and care engagement to characterize care continuum parameters that would translate into 50% reductions in incidence by 2025, compared with a base case scenario of the current US care continuum. We generated a large pool of simulations in which rates of screening, linkage, and retention in care were varied across wide ranges to evaluate permutations that halved incidence by 2025. RESULTS: Among all simulations, 7% achieved a halving of incidence. It was impossible for our simulations to achieve this target if the annual rate of disengagement from care exceeded 20% per year, even at high rates of care reengagement. When retention in care was 95% per year and people living with HIV (PLWH) out of care reengaged within 1.5 years (on average), the probability of halving incidence by 2025 was approximately 90%. CONCLUSIONS: HIV programs should aim to retain at least 95% of PLWH in care annually and reengage people living with HIV into care within an average of 1.5 years to achieve the goal of halving HIV incidence by 2025.
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spelling pubmed-57980782018-02-08 What Will It Take to Reduce HIV Incidence in the United States: A Mathematical Modeling Analysis Perry, Allison Kasaie, Parastu Dowdy, David W Shah, Maunank Open Forum Infect Dis Major Article BACKGROUND: The National HIV/AIDS Strategy has set ambitious goals to improve the epidemic in the United States. However, there is a paucity of usable program-level benchmarks tied to population-level epidemiologic goals. Our objective was to define tangible benchmarks for annual rates along the care continuum that are likely to translate to meaningful reductions in incidence. METHODS: We used a validated mathematical model of HIV transmission and care engagement to characterize care continuum parameters that would translate into 50% reductions in incidence by 2025, compared with a base case scenario of the current US care continuum. We generated a large pool of simulations in which rates of screening, linkage, and retention in care were varied across wide ranges to evaluate permutations that halved incidence by 2025. RESULTS: Among all simulations, 7% achieved a halving of incidence. It was impossible for our simulations to achieve this target if the annual rate of disengagement from care exceeded 20% per year, even at high rates of care reengagement. When retention in care was 95% per year and people living with HIV (PLWH) out of care reengaged within 1.5 years (on average), the probability of halving incidence by 2025 was approximately 90%. CONCLUSIONS: HIV programs should aim to retain at least 95% of PLWH in care annually and reengage people living with HIV into care within an average of 1.5 years to achieve the goal of halving HIV incidence by 2025. Oxford University Press 2018-01-06 /pmc/articles/PMC5798078/ /pubmed/29423424 http://dx.doi.org/10.1093/ofid/ofy008 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Major Article
Perry, Allison
Kasaie, Parastu
Dowdy, David W
Shah, Maunank
What Will It Take to Reduce HIV Incidence in the United States: A Mathematical Modeling Analysis
title What Will It Take to Reduce HIV Incidence in the United States: A Mathematical Modeling Analysis
title_full What Will It Take to Reduce HIV Incidence in the United States: A Mathematical Modeling Analysis
title_fullStr What Will It Take to Reduce HIV Incidence in the United States: A Mathematical Modeling Analysis
title_full_unstemmed What Will It Take to Reduce HIV Incidence in the United States: A Mathematical Modeling Analysis
title_short What Will It Take to Reduce HIV Incidence in the United States: A Mathematical Modeling Analysis
title_sort what will it take to reduce hiv incidence in the united states: a mathematical modeling analysis
topic Major Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798078/
https://www.ncbi.nlm.nih.gov/pubmed/29423424
http://dx.doi.org/10.1093/ofid/ofy008
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