Evidence map›Paper›PMID 27642227›Full record

ArticleAI magazine2016

PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead.

A Yadav, L S Marcolino, E Rice, R Petering, H Winetrobe, H Rhoades, M Tambe, H Carmichael

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AI magazine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.9field-weighted citation impact, top 12% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

A YadavUniversity of Southern California, Los Angeles, CA, 90089.
L S MarcolinoUniversity of Southern California, Los Angeles, CA, 90089.
E RiceUniversity of Southern California, Los Angeles, CA, 90089.
R PeteringUniversity of Southern California, Los Angeles, CA, 90089.
H WinetrobeUniversity of Southern California, Los Angeles, CA, 90089.
H RhoadesUniversity of Southern California, Los Angeles, CA, 90089.
M TambeUniversity of Southern California, Los Angeles, CA, 90089.
H CarmichaelLCSW, Executive Director, My Friend's Place, Los Angeles, CA 90028.
University of Southern California · USSouthern California University for Professional Studies · USFriends United · US

Funding

HIV Risk in Large Social Networks of Homeless YouthR01MH093336 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RICE, ERIC · 2011 to 2013
$2.0M
NIMH NIH HHS R01 MH093336
6 · The paper itself

Abstract

Homeless youth are prone to Human Immunodeficiency Virus (HIV) due to their engagement in high risk behavior such as unprotected sex, sex under influence of drugs, etc. Many non-profit agencies conduct interventions to educate and train a select group of homeless youth about HIV prevention and treatment practices and rely on word-of-mouth spread of information through their social network. Previous work in strategic selection of intervention participants does not handle uncertainties in the social network's structure and evolving network state, potentially causing significant shortcomings in spread of information. Thus, we developed PSINET, a decision support system to aid the agencies in this task. PSINET includes the following key novelties: (i) it handles uncertainties in network structure and evolving network state; (ii) it addresses these uncertainties by using POMDPs in influence maximization; and (iii) it provides algorithmic advances to allow high quality approximate solutions for such POMDPs. Simulations show that PSINET achieves

Identifiers

PMID27642227
PMCPMC5020561
OpenAlexW2186031673

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.