Literature DB >> 21098054

A sociological interpretation of emerging properties in STI transmission dynamics: walk-betweenness of sexual networks.

Yoosik Youm1.   

Abstract

OBJECTIVES: This study is intended to examine the role of bridges in sexually transmitted infection (STI) transmission dynamics as an emerging property that is an unintended and aggregate result of individual behaviours or preferences. It also provides an empirical illustration using a newly customised measure of bridging activities--namely, 'walk-betweenness'.
METHODS: Participants in the Chicago Sexual Acquisition and Transmission of HIV Cooperative Agreement Program (SATHCAP) recruited from August 2005 through October 2006 were used in the analysis. They were recruited through respondent-driven bias-adjusted snowball sampling, beginning with six 'seed' recruiters who were given seven coded coupons to distribute to eligible peers for inclusion in the study: three coupons for drug users or men who have sex with men (MSM) regardless of drug use; three coupons for sexual partners; and one coupon for either a non-drug-using sex partner or, if the seed participant was an MSM, for a female sex partner. A walk-betweenness score was created for each of the 77 community areas in Chicago. The SATHCAP questionnaire was used to ask respondents for the neighbourhood locations in which they had had sex in the previous 6 months. The total number of respondents was 1068.
RESULTS: The results of the study confirm the existence of hidden bridging communities in the Chicago area. Although these communities were essential to AIDS transmission, they might have been largely ignored because of their low prevalence rates.
CONCLUSIONS: The role of bridging positions in STI transmission dynamics can be considered as an emerging property that is an aggregate result from individual sexual behaviours or preferences. A newly customised measure of bridging positions is needed to identify this property adequately.

Entities:  

Mesh:

Year:  2010        PMID: 21098054     DOI: 10.1136/sti.2010.044008

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


  8 in total

Review 1.  Social networks, sexual networks and HIV risk in men who have sex with men.

Authors:  Yuri A Amirkhanian
Journal:  Curr HIV/AIDS Rep       Date:  2014-03       Impact factor: 5.071

2.  Structural bridging network position is associated with HIV status in a younger Black men who have sex with men epidemic.

Authors:  Nirav S Shah; James Iveniuk; Stephen Q Muth; Stuart Michaels; Jo-Anne Jose; Edward O Laumann; John A Schneider
Journal:  AIDS Behav       Date:  2014-02

3.  Neighborhood-level associations with HIV infection among young men who have sex with men in Chicago.

Authors:  Gregory Phillips; Michelle Birkett; Lisa Kuhns; Tyler Hatchel; Robert Garofalo; Brian Mustanski
Journal:  Arch Sex Behav       Date:  2015-07-14

4.  Community Sexual Bridging Among Heterosexuals at High-Risk of HIV in New York City.

Authors:  Alan Neaigus; Samuel M Jenness; Kathleen H Reilly; Yoosik Youm; Holly Hagan; Travis Wendel; Camila Gelpi-Acosta
Journal:  AIDS Behav       Date:  2016-04

5.  Virtual versus physical channel for sex networking in men having sex with men of sauna customers in the City of Hong Kong.

Authors:  Shui-Shan Lee; Agnes N S Lam; Chi-Kei Lee; Ngai-Sze Wong
Journal:  PLoS One       Date:  2012-02-10       Impact factor: 3.240

6.  Social venue range and referral chain impact: Implications for the sampling of hidden communities.

Authors:  Benjamin Cornwell; John A Schneider
Journal:  PLoS One       Date:  2017-08-23       Impact factor: 3.240

7.  Sexual network and detection of anogenital human papillomavirus in a community cohort of men who have sex with men in Taiwan.

Authors:  Carol Strong; Yi-Fang Yu; Huachun Zou; Wen-Wei Ku; Chia-Wen Lee; Nai-Ying Ko
Journal:  PLoS One       Date:  2019-05-10       Impact factor: 3.240

8.  A measure of centrality in cyclic diffusion processes: Walk-betweenness.

Authors:  Yoosik Youm; Byungkyu Lee; Junsol Kim
Journal:  PLoS One       Date:  2021-01-28       Impact factor: 3.240

  8 in total

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