Evidence map›Paper›PMID 27699596›Full record

ArticleAIDS and behavior2017

The Interaction of Risk Network Structures and Virus Natural History in the Non-spreading of HIV Among People Who Inject Drugs in the Early Stages of the Epidemic.

Kirk Dombrowski, Bilal Khan, Patrick Habecker, Holly Hagan, Samuel R Friedman, Mohamed Saad

Abstract read
In one paragraph

Article in AIDS and behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kirk DombrowskiDepartment of Sociology, University of Nebraska-Lincoln, 711 Oldfather Hall, Lincoln, NE, 68588, USA. kdombrowski2@unl.edu.ORCID http://orcid.org/0000-0002-9185-0240
Bilal KhanDepartment of Sociology, University of Nebraska-Lincoln, 711 Oldfather Hall, Lincoln, NE, 68588, USA.
Patrick HabeckerDepartment of Sociology, University of Nebraska-Lincoln, 711 Oldfather Hall, Lincoln, NE, 68588, USA.
Holly HaganCollege of Nursing, New York University, New York, NY, USA.
Samuel R FriedmanNational Development Research Institute, New York, NY, USA.
Mohamed SaadMicrojan Inc, Waterloo, ON, Canada.

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Preventing HIV Transmission by Recently-Infected Drug UsersDP1DA034989 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI FRIEDMAN, SAMUEL R · 2012 to 2016
$3.8M
Nebraska Center for VirologyP30GM103509 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI WOOD, CHARLES · 2012 to 2014
$3.3M
Injection Risk Networks in Rural Puerto RicoR01DA037117 · NIDA · UNIVERSITY OF NEBRASKA LINCOLN · PI DOMBROWSKI, KIRK, KHAN, BILAL · 2014 to 2018
$3.2M
Addressing Hepatitis C and Hepatocellular Carcinoma: Current and Future EpidemicsR01DA034637 · NIDA · NEW YORK UNIVERSITY · PI HAGAN, HOLLY · 2013 to 2016
$2.5M
Injection Drug User Network Topologies and HIV Stabilization DynamicsRC1DA028476 · NIDA · JOHN JAY COLLEGE OF CRIMINAL JUSTICE · PI CURTIS, RICHARD S, DOMBROWSKI, KIRK · 2009 to 2010
$737k
NIDA NIH HHS DP1 DA034989NIDA NIH HHS P30 DA011041NIDA NIH HHS R01 DA034637NIDA NIH HHS R01 DA037117NIDA NIH HHS RC1 DA028476NIGMS NIH HHS P30 GM103509
6 · The paper itself

Abstract

This article explores how social network dynamics may have reduced the spread of HIV-1 infection among people who inject drugs during the early years of the epidemic. Stochastic, discrete event, agent-based simulations are used to test whether a "firewall effect" can arise out of self-organizing processes at the actor level, and whether such an effect can account for stable HIV prevalence rates below population saturation. Repeated simulation experiments show that, in the presence of recurring, acute, and highly infectious outbreaks, micro-network structures combine with the HIV virus's natural history to reduce the spread of the disease. These results indicate that network factors likely played a significant role in the prevention of HIV infection within injection risk networks during periods of peak prevalence. They also suggest that social forces that disturb network connections may diminish the natural firewall effect and result in higher rates of HIV.

Indexed as

Social IdentificationSocial SupportAdolescentAdultComputer SimulationEpidemicsFemaleHIV-1HIV InfectionsHumansMalePrevalencePublic PolicyRisk AssessmentStochastic ProcessesSubstance Abuse, IntravenousFirewall effectPWIDRisk networksSimulation

Identifiers

PMID27699596
PMCPMC5344741

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.