Evidence map›Paper›PMID 31245917›Full record

ArticleJournal of the International AIDS Society2019

Social network approaches to locating people recently infected with HIV in Odessa, Ukraine.

Leslie D Williams, Ania Korobchuk, Pavlo Smyrnov, Yana Sazonova, Georgios K Nikolopoulos, Britt Skaathun, Ethan Morgan, John Schneider, Tetyana I Vasylyeva, Yen T Duong and 4 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of the International AIDS Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

14 authors.

Leslie D WilliamsNational Development and Research Institutes, New York, NY, USA.
Ania KorobchukAlliance for Public Health, Kyiv, Ukraine.
Pavlo SmyrnovAlliance for Public Health, Kyiv, Ukraine.
Yana SazonovaAlliance for Public Health, Kyiv, Ukraine.
Georgios K NikolopoulosMedical School, University of Cyprus, Nicosia, Cyprus.
Britt SkaathunDivision of Global Public Health, University of California San Diego, San Diego, CA, USA.
Ethan MorganDepartment of Medicine and Center for HIV Elimination, University of Chicago, Chicago, IL, USA.
John SchneiderDepartment of Medicine and Center for HIV Elimination, University of Chicago, Chicago, IL, USA.
Tetyana I VasylyevaNew College, University of Oxford, Oxford, UK.
Yen T DuongICAP-NY, Columbia University, New York, NY, USA.
Svitlana ChernyavskaOdessa Regional Laboratory Center of the Ministry of Health of Ukraine, Odessa, Ukraine.
Vitaliy GoncharovOdessa Regional Laboratory Center of the Ministry of Health of Ukraine, Odessa, Ukraine.
Ludmila KotlikOdessa Regional Laboratory Center of the Ministry of Health of Ukraine, Odessa, Ukraine.
Samuel R FriedmanNational Development and Research Institutes, New York, NY, USA.ORCID 0000-0003-2083-1226

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan, Courtney McKnight · 1998 to 2026
$38.9M
HOPE Training GrantT32AI007384 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sara Gianella Weibel, Scott L Letendre · 1990 to 2026
$9.7M
Preventing HIV Transmission by Recently-Infected Drug UsersDP1DA034989 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI FRIEDMAN, SAMUEL R · 2012 to 2016
$3.8M
Social Network Dynamics, HIV, and Risk Reduction Among Younger Black MSMR01DA033875 · NIDA · NATIONAL OPINION RESEARCH CENTER · PI SCHNEIDER, JOHN · 2012 to 2016
$3.0M
Public health targeting of PrEP at HIV positives' bridging networksR21AI118998 · NIAID · UNIVERSITY OF CHICAGO · PI SCHNEIDER, JOHN · 2015 to 2016
$405k
NIAID NIH HHS R21 AI118998NIAID NIH HHS T32 AI007384NIDA NIH HHS DP1 DA034989NIDA NIH HHS P30 DA011041NIDA NIH HHS R01 DA033875
6 · The paper itself

Abstract

introductionThis paper examines the extent to which an intervention succeeded in locating people who had recently become infected with HIV in the context of the large-scale Ukrainian epidemic. Locating and intervening with people who recently became infected with HIV (people with recent infection, or PwRI) can reduce forward HIV transmission and help PwRI remain healthy.

methodsThe Transmission Reduction Intervention Project (TRIP) recruited recently-infected and longer-term infected seeds in Odessa, Ukraine, in 2013 to 2016, and asked them to help recruit their extended risk network members. The proportions of network members who were PwRI were compared between TRIP arms (i.e. networks of recently-infected seeds vs. networks of longer-term infected seeds) and to the proportion of participants who were PwRI in an RDS-based Integrated Biobehavioral Surveillance of people who inject drugs in 2013.

resultsThe networks of PwRI seeds and those of longer-term infected seeds had similar (2%) proportions who were themselves PwRI. This was higher than the 0.25% proportion in IBBS (OR = 7.80; p = 0.016). The odds ratio among the subset of participants who injected drugs was 11.17 (p = 0.003). Cost comparison analyses using simplified ingredients-based methods found that TRIP spent no more than US $4513 per PwRI located whereas IBBS spent $11,924.

conclusionsFurther research is needed to confirm these results and improve TRIP further, but our findings suggest that interventions that trace the networks of people who test HIV-positive are a cost-effective way to locate PwRI and reduce HIV transmission and should therefore be implemented.

Indexed as

AdultContact TracingEpidemiological MonitoringFemaleHIV InfectionsHumansMaleSocial NetworkingUkraineHIVinterventionPWIDrecent HIV infectionsocial networktreatment as preventionUkraine

Identifiers

PMID31245917
PMCPMC6595706

What OpenQuestion holds

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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.