Literature DB >> 17664363

Using sexual affiliation networks to describe the sexual structure of a population.

Simon D W Frost1.   

Abstract

The structure of sexual networks has a central role in the dynamics of transmission of sexually transmitted infections (STIs). Unfortunately, it is extremely difficult to obtain reliable data on sexual contacts between individuals. However, the venues where people recruit sexual partners may provide valuable information on sexual networks. This article reviews how data on "sexual affiliations" between people and venues may be collected, analysed, and used for surveillance and prevention of STIs.

Entities:  

Mesh：

Year:  2007        PMID： 17664363     DOI： 10.1136/sti.2006.023580

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN： 1368-4973            Impact factor:   3.519


  24 in total

1.  Migration, neighborhoods, and networks: approaches to understanding how urban environmental conditions affect syndemic adverse health outcomes among gay, bisexual and other men who have sex with men.

Authors:  James E Egan; Victoria Frye; Steven P Kurtz; Carl Latkin; Minxing Chen; Karin Tobin; Cui Yang; Beryl A Koblin
Journal:  AIDS Behav       Date:  2011-04

2.  Venue-Mediated Weak Ties in Multiplex HIV Transmission Risk Networks Among Drug-Using Male Sex Workers and Associates.

Authors:  Kayo Fujimoto; Peng Wang; Michael W Ross; Mark L Williams
Journal:  Am J Public Health       Date:  2015-04-16       Impact factor: 9.308

3.  A Case-Control Study to Identify Community Venues Associated with Genetically-clustered, Multidrug-resistant Tuberculosis Disease in Lima, Peru.

Authors:  David P Bui; Eyal Oren; Denise J Roe; Heidi E Brown; Robin B Harris; Gwenan M Knight; Robert H Gilman; Louis Grandjean
Journal:  Clin Infect Dis       Date:  2019-04-24       Impact factor: 9.079

4.  Cohort Profile: The Likoma Network Study (LNS).

Authors:  Stéphane Helleringer; James Mkandawire; Linda Kalilani-Phiri; Hans-Peter Kohler
Journal:  Int J Epidemiol       Date:  2013-03-28       Impact factor: 7.196

5.  HIV health center affiliation networks of black men who have sex with men: disentangling fragmented patterns of HIV prevention service utilization.

Authors:  John A Schneider; Tim Walsh; Benjamin Cornwell; David Ostrow; Stuart Michaels; Edward O Laumann
Journal:  Sex Transm Dis       Date:  2012-08       Impact factor: 2.830

6.  Social-structural properties and HIV prevention among young men who have sex with men in the ballroom house and independent gay family communities.

Authors:  Lindsay E Young; Adam B Jonas; Stuart Michaels; Joel D Jackson; Mario L Pierce; John A Schneider
Journal:  Soc Sci Med       Date:  2016-12-08       Impact factor: 4.634

7.  Sex Behaviors as Social Cues Motivating Social Venue Patronage Among Young Black Men Who Have Sex with Men.

Authors:  Lindsay E Young; Stuart Michaels; Adam Jonas; Aditya S Khanna; Britt Skaathun; Ethan Morgan; John A Schneider
Journal:  AIDS Behav       Date:  2017-10

8.  Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men.

Authors:  Yang Xiang; Kayo Fujimoto; John Schneider; Yuxi Jia; Degui Zhi; Cui Tao
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

9.  A Network Analysis of Sexually Transmitted Diseases and Online Hookup Sites Among Men Who Have Sex With Men.

Authors:  Philip A Chan; Christina Crowley; Jennifer S Rose; Trace Kershaw; Alec Tributino; Madeline C Montgomery; Alexi Almonte; Julia Raifman; Rupa Patel; Amy Nunn
Journal:  Sex Transm Dis       Date:  2018-07       Impact factor: 2.830

10.  Venue-based affiliation networks and HIV risk-taking behavior among male sex workers.

Authors:  Kayo Fujimoto; Mark L Williams; Michael W Ross
Journal:  Sex Transm Dis       Date:  2013-06       Impact factor: 2.830
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