A complex systems approach to evaluate HIV prevention in metropolitan areas: preliminary implications for combination intervention strategies.

HIV transmission among injecting and non-injecting drug users (IDU, NIDU) is a significant public health problem. Continuing propagation in endemic settings and emerging regional outbreaks have indicated the need for comprehensive and coordinated HIV prevention. We describe the development of a conc...

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Main Authors: Brandon D L Marshall, Magdalena M Paczkowski, Lars Seemann, Barbara Tempalski, Enrique R Pouget, Sandro Galea, Samuel R Friedman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3441492?pdf=render
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spelling doaj-999c96b1f55e4d40bfa47326075ac3222020-11-25T00:48:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0179e4483310.1371/journal.pone.0044833A complex systems approach to evaluate HIV prevention in metropolitan areas: preliminary implications for combination intervention strategies.Brandon D L MarshallMagdalena M PaczkowskiLars SeemannBarbara TempalskiEnrique R PougetSandro GaleaSamuel R FriedmanHIV transmission among injecting and non-injecting drug users (IDU, NIDU) is a significant public health problem. Continuing propagation in endemic settings and emerging regional outbreaks have indicated the need for comprehensive and coordinated HIV prevention. We describe the development of a conceptual framework and calibration of an agent-based model (ABM) to examine how combinations of interventions may reduce and potentially eliminate HIV transmission among drug-using populations.A multidisciplinary team of researchers from epidemiology, sociology, geography, and mathematics developed a conceptual framework based on prior ethnographic and epidemiologic research. An ABM was constructed and calibrated through an iterative design and verification process. In the model, "agents" represent IDU, NIDU, and non-drug users who interact with each other and within risk networks, engaging in sexual and, for IDUs, injection-related risk behavior over time. Agents also interact with simulated HIV prevention interventions (e.g., syringe exchange programs, substance abuse treatment, HIV testing) and initiate antiretroviral treatment (ART) in a stochastic manner. The model was constructed to represent the New York metropolitan statistical area (MSA) population, and calibrated by comparing output trajectories for various outcomes (e.g., IDU/NIDU prevalence, HIV prevalence and incidence) against previously validated MSA-level data. The model closely approximated HIV trajectories in IDU and NIDU observed in New York City between 1992 and 2002, including a linear decrease in HIV prevalence among IDUs. Exploratory results are consistent with empirical studies demonstrating that the effectiveness of a combination of interventions, including syringe exchange expansion and ART provision, dramatically reduced HIV prevalence among IDUs during this time period.Complex systems models of adaptive HIV transmission dynamics can be used to identify potential collective benefits of hypothetical combination prevention interventions. Future work will seek to inform novel strategies that may lead to more effective and equitable HIV prevention strategies for drug-using populations.http://europepmc.org/articles/PMC3441492?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Brandon D L Marshall
Magdalena M Paczkowski
Lars Seemann
Barbara Tempalski
Enrique R Pouget
Sandro Galea
Samuel R Friedman
spellingShingle Brandon D L Marshall
Magdalena M Paczkowski
Lars Seemann
Barbara Tempalski
Enrique R Pouget
Sandro Galea
Samuel R Friedman
A complex systems approach to evaluate HIV prevention in metropolitan areas: preliminary implications for combination intervention strategies.
PLoS ONE
author_facet Brandon D L Marshall
Magdalena M Paczkowski
Lars Seemann
Barbara Tempalski
Enrique R Pouget
Sandro Galea
Samuel R Friedman
author_sort Brandon D L Marshall
title A complex systems approach to evaluate HIV prevention in metropolitan areas: preliminary implications for combination intervention strategies.
title_short A complex systems approach to evaluate HIV prevention in metropolitan areas: preliminary implications for combination intervention strategies.
title_full A complex systems approach to evaluate HIV prevention in metropolitan areas: preliminary implications for combination intervention strategies.
title_fullStr A complex systems approach to evaluate HIV prevention in metropolitan areas: preliminary implications for combination intervention strategies.
title_full_unstemmed A complex systems approach to evaluate HIV prevention in metropolitan areas: preliminary implications for combination intervention strategies.
title_sort complex systems approach to evaluate hiv prevention in metropolitan areas: preliminary implications for combination intervention strategies.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description HIV transmission among injecting and non-injecting drug users (IDU, NIDU) is a significant public health problem. Continuing propagation in endemic settings and emerging regional outbreaks have indicated the need for comprehensive and coordinated HIV prevention. We describe the development of a conceptual framework and calibration of an agent-based model (ABM) to examine how combinations of interventions may reduce and potentially eliminate HIV transmission among drug-using populations.A multidisciplinary team of researchers from epidemiology, sociology, geography, and mathematics developed a conceptual framework based on prior ethnographic and epidemiologic research. An ABM was constructed and calibrated through an iterative design and verification process. In the model, "agents" represent IDU, NIDU, and non-drug users who interact with each other and within risk networks, engaging in sexual and, for IDUs, injection-related risk behavior over time. Agents also interact with simulated HIV prevention interventions (e.g., syringe exchange programs, substance abuse treatment, HIV testing) and initiate antiretroviral treatment (ART) in a stochastic manner. The model was constructed to represent the New York metropolitan statistical area (MSA) population, and calibrated by comparing output trajectories for various outcomes (e.g., IDU/NIDU prevalence, HIV prevalence and incidence) against previously validated MSA-level data. The model closely approximated HIV trajectories in IDU and NIDU observed in New York City between 1992 and 2002, including a linear decrease in HIV prevalence among IDUs. Exploratory results are consistent with empirical studies demonstrating that the effectiveness of a combination of interventions, including syringe exchange expansion and ART provision, dramatically reduced HIV prevalence among IDUs during this time period.Complex systems models of adaptive HIV transmission dynamics can be used to identify potential collective benefits of hypothetical combination prevention interventions. Future work will seek to inform novel strategies that may lead to more effective and equitable HIV prevention strategies for drug-using populations.
url http://europepmc.org/articles/PMC3441492?pdf=render
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