Evidence map›Paper›PMID 25083120›Full record

ArticleDiscrete dynamics in nature and society2013

Network Firewall Dynamics and the Subsaturation Stabilization of HIV.

Bilal Khan, Kirk Dombrowski, Mohamed Saad, Katherine McLean, Samuel Friedman

Abstract read
In one paragraph

Article in Discrete dynamics in nature and society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

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  13. Molecular epidemiology reveals the role of war in the spread of HIV in Ukraine.Proceedings of the National Academy of Sciences of the United States of America · 2018
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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

5 authors.

Bilal KhanDepartment of Math and Computer Science, John Jay College (CUNY), New York, NY 10019, USA.
Kirk DombrowskiDepartment of Anthropology, John Jay College (CUNY), New York, NY 10019, USA.
Mohamed SaadSocial Networks Research Group, John Jay College (CUNY), New York, NY 10019, USA.
Katherine McLeanDepartment of Sociology, CUNY Graduate Center, New York, NY 10016, USA.
Samuel FriedmanInstitute for AIDS Research at National Development and Research Institutes, Inc., New York, NY 10010, USA ; Center for Drug Use and HIV Research, New York, NY 10003, USA.

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
BEHAVIORAL SCI TRAINING IN DRUG ABUSE RESEARCHT32DA007233 · NIDA · PUBLIC HEALTH SOLUTIONS · PI GOLDSAMT, LLOYD A · 1985 to 2023
$20.2M
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 P30 DA011041NIDA NIH HHS RC1 DA028476NIDA NIH HHS T32 DA007233
6 · The paper itself

Abstract

In 2001, Friedman et al. conjectured the existence of a "firewall effect" in which individuals who are infected with HIV, but remain in a state of low infectiousness, serve to prevent the virus from spreading. To evaluate this historical conjecture, we develop a new graph-theoretic measure that quantifies the extent to which Friedman's firewall hypothesis(FH)holds in a risk network. We compute this new measure across simulated trajectories of a stochastic discrete dynamical system that models a social network of 25,000 individuals engaging in risk acts over a period of 15 years. The model's parameters are based on analyses of data collected in prior studies of the real-world risk networks of people who inject drugs (PWID) in New York City. Analysis of system trajectories reveals the structural mechanisms by which individuals with mature HIV infections tend to partition the network into homogeneous clusters (with respect to infection status) and how uninfected clusters remain relatively stable (with respect to infection status) over long stretches of time. We confirm the spontaneous emergence of network firewalls in the system and reveal their structural role in the nonspreading of HIV.

Identifiers

PMID25083120
PMCPMC4114323

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Registered trials

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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.