Evidence map›Paper›PMID 34763134›Full record

ArticleSocial science & medicine (1982)2021

Social-spatial network structures and community ties of egocentric sex and confidant networks: A Chicago case study.

Marynia A Kolak, Yen-Tyng Chen, Qinyun Lin, John Schneider

Open access · hybridAbstract read
In one paragraph

Article in Social science & medicine (1982), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Marynia A KolakUniversity of Chicago, Center for Spatial Data Science, Chicago, IL, USA. Electronic address: mkolak@uchicago.edu.
Yen-Tyng ChenUniversity of Chicago Medicine, Department of Infectious Disease, Chicago, IL, USA; William Patterson University, Department of Public Health, Wayne, NJ, USA.
Qinyun LinUniversity of Chicago, Center for Spatial Data Science, Chicago, IL, USA.
John SchneiderUniversity of Chicago Medicine, Department of Infectious Disease, Chicago, IL, USA.
University of Chicago · USWilliam Paterson University · US

Funding

Survey CoreU2CDA050098 · NIDA · UNIVERSITY OF CHICAGO · PI POLLACK, HAROLD ALEXANDER, SCHNEIDER, JOHN · 2019 to 2019
$17.2M
PrEP Uptake and Adherence Among Young Black MSM: Neighborhood and Network DeterminantsR01MH112406 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DUNCAN, DUSTIN T, SCHNEIDER, JOHN · 2016 to 2020
$3.4M
Social Network Dynamics, HIV, and Risk Reduction Among Younger Black MSMR01DA033875 · NIDA · NATIONAL OPINION RESEARCH CENTER · PI SCHNEIDER, JOHN · 2012 to 2016
$3.0M
NIDA NIH HHS R01 DA033875NIDA NIH HHS U2C DA050098NIMH NIH HHS R01 MH112406
6 · The paper itself

Abstract

Exploring how sexual and confidant networks overlap spatially and socially could facilitate a better understanding of sexually transmitted infection risk, as well as help identify areas for interventions. This study aims to examine how a sexual and peer-affiliate network is impacted or shaped by interconnected social relationships and spatial patterns. We used data collected from a sample of 618 young black men who have sex with men (YBMSM) and transgender women in Chicago (2013-2014) that includes partner and confidant links, geolocations, and pre-exposure prophylaxis (PrEP) awareness. We spatialize different types of social networks and examine joint social-spatial community ties to both identify and differentiate social-spatial behavioral patterns. We explore the spatial structures of the social network by comparing ego-alter network residence patterns, visualizing ego-alter community ties in aggregate, and grouping different types of dyad relationships based on their spatial structure. Findings showed overlapping social and sexual networks. Egos with partners residing in more resourced communities furthest away, with wider alter-ego power differentials, also tended to be at greatest risk. Identifying the social-spatial structures of community ties is critical to enhance our understanding of the spatial context of social relationships, and further distill risk heterogeneity in vulnerable populations within an equitable health framework.

Indexed as

HIV InfectionsPre-Exposure ProphylaxisSexual and Gender MinoritiesChicagoFemaleHomosexuality, MaleHumansMaleHIVNetwork analysisSocial-spatial networkSpatial analysis

Identifiers

PMID34763134
PMCPMC8856836
OpenAlexW3206133119

What OpenQuestion holds

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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.