Literature DB >> 11564847

Sexual networks and sexually transmitted infections: a tale of two cities.

A M Jolly1, S Q Muth, J L Wylie, J J Potterat.   

Abstract

Research on risk behaviors for sexually transmitted infections (STIs) has revealed that they seldom correspond with actual risk of infection. Core groups of people with high-risk behavior who form networks of people linked by sexual contact are essential for STI transmission, but have been overlooked in epidemiological studies. Social network analysis, a subdiscipline of sociology, provides both the methods and analytical techniques to describe and illustrate the effects of sexual networks on STI transmission. Sexual networks of people from Colorado Springs, Colorado, and from Winnipeg, Manitoba, Canada, infected with chlamydia during a 6-month period were compared. In Winnipeg, 442 networks were identified, comprising 571 cases and 663 contacts, ranging in size from 2 to 20 individuals; Colorado Springs data yielded 401 networks, comprising 468 cases and 700 contacts, ranging in size from 2 to 12 individuals. Taking differing partner notification methods and the slightly smaller population size in Colorado Springs into account, the networks from both places were similar in both size and structure. These smaller, sparsely linked networks, peripheral to the core, may form the mechanism by which chlamydia can remain endemic, in contrast with larger, more densely connected networks, closer to the core, which are associated with steep rises in incidence.

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Year:  2001        PMID: 11564847      PMCID: PMC3455915          DOI: 10.1093/jurban/78.3.433

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  38 in total

1.  Sexual networks: the integration of social and genetic data.

Authors:  S Day; H Ward; C Ison; G Bell; J Weber
Journal:  Soc Sci Med       Date:  1998-12       Impact factor: 4.634

2.  Mathematical models of the transmission and control of sexually transmitted diseases.

Authors:  R M Anderson; G P Garnett
Journal:  Sex Transm Dis       Date:  2000-11       Impact factor: 2.830

3.  More realistic models of sexually transmitted disease transmission dynamics: sexual partnership networks, pair models, and moment closure.

Authors:  N M Ferguson; G P Garnett
Journal:  Sex Transm Dis       Date:  2000-11       Impact factor: 2.830

4.  Sexual network structure and sexually transmitted disease prevention: a modeling perspective.

Authors:  M Kretzschmar
Journal:  Sex Transm Dis       Date:  2000-11       Impact factor: 2.830

5.  Evidence undermining the adequacy of the HIV reproduction number formula.

Authors:  J J Potterat; S Q Muth; S Brody
Journal:  Sex Transm Dis       Date:  2000-11       Impact factor: 2.830

6.  Mass treatment/prophylaxis during an outbreak of infectious syphilis in Vancouver, British Columbia.

Authors:  M Rekart; D Patrick; A Jolly; T Wong; M Morshed; H Jones; C Montgomery; L Knowles; N Chakraborty; J Maginley
Journal:  Can Commun Dis Rep       Date:  2000-06-15

7.  Failure to find a behavioral surrogate for STD incidence--what does it really mean?

Authors:  M Fishbein; B Jarvis
Journal:  Sex Transm Dis       Date:  2000-09       Impact factor: 2.830

8.  Geomapping of chlamydia and gonorrhoea in Birmingham.

Authors:  M Shahmanesh; S Gayed; M Ashcroft; R Smith; R Roopnarainsingh; J Dunn; J Ross
Journal:  Sex Transm Infect       Date:  2000-08       Impact factor: 3.519

9.  Patterns of chlamydia and gonorrhea infection in sexual networks in Manitoba, Canada.

Authors:  J L Wylie; A Jolly
Journal:  Sex Transm Dis       Date:  2001-01       Impact factor: 2.830

10.  Chlamydia transmission: concurrency, reproduction number, and the epidemic trajectory.

Authors:  J J Potterat; H Zimmerman-Rogers; S Q Muth; R B Rothenberg; D L Green; J E Taylor; M S Bonney; H A White
Journal:  Am J Epidemiol       Date:  1999-12-15       Impact factor: 4.897

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  24 in total

Review 1.  Social networks, risk-potential networks, health, and disease.

Authors:  S R Friedman; S Aral
Journal:  J Urban Health       Date:  2001-09       Impact factor: 3.671

Review 2.  The dynamics of substance use and sex networks in HIV transmission.

Authors:  Maureen Miller
Journal:  J Urban Health       Date:  2003-12       Impact factor: 3.671

3.  Modeling dynamic and network heterogeneities in the spread of sexually transmitted diseases.

Authors:  Ken T D Eames; Matt J Keeling
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-23       Impact factor: 11.205

4.  Investigating the potential spread of infectious diseases of sheep via agricultural shows in Great Britain.

Authors:  C R Webb
Journal:  Epidemiol Infect       Date:  2006-02       Impact factor: 2.451

5.  Population contextual associations with heterosexual partner numbers: a multilevel analysis.

Authors:  A M A Smith; S V Subramanian
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

6.  Geospatial methods for identification of core groups for HIV/AIDS.

Authors:  Richard A Scribner; Sandy A Johnson; Deborah A Cohen; William Robinson; Thomas A Farley; Paul Gruenewald
Journal:  Subst Use Misuse       Date:  2008       Impact factor: 2.164

7.  Condom use and concurrent partnering among heterosexually active, African American men: a qualitative report.

Authors:  Victoria Frye; Kim Williams; Keosha T Bond; Kirk Henny; Malik Cupid; Linda Weiss; Debbie Lucy; Beryl A Koblin
Journal:  J Urban Health       Date:  2013-10       Impact factor: 3.671

8.  Innovations in sexually transmitted disease partner services.

Authors:  Matthew Hogben; Linda M Niccolai
Journal:  Curr Infect Dis Rep       Date:  2009-03       Impact factor: 3.725

9.  Egocentric network data provide additional information for characterizing an individual's HIV risk profile.

Authors:  André R S Périssé; Patricia Langenberg; Laura Hungerford; Marc Boulay; Man Charurat; Mauro Schechter; William Blattner
Journal:  AIDS       Date:  2010-01-16       Impact factor: 4.177

10.  Social connectedness and disease transmission: social organization, cohesion, village context, and infection risk in rural Ecuador.

Authors:  Jonathan L Zelner; James Trostle; Jason E Goldstick; William Cevallos; James S House; Joseph N S Eisenberg
Journal:  Am J Public Health       Date:  2012-10-18       Impact factor: 9.308

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