Literature DB >> 8724517

Sexual mixing patterns of patients attending sexually transmitted diseases clinics.

G P Garnett1, J P Hughes, R M Anderson, B P Stoner, S O Aral, W L Whittington, H H Handsfield, K K Holmes.   

Abstract

BACKGROUND: Theorectical studies have highlighted the importance of patterns of choice of sex partner in the transmission and persistence of sexually transmitted diseases (STDs). GOAL: To describe reported patterns of sexual mixing according to numbers of sex partners in STD clinics. STUDY
DESIGN: Patients attending public health clinics in Seattle, Washington were interviewed about their own and their partners' behaviors.
RESULTS: Throughout, patterns of sexual mixing were weakly assortative. Across activity groups, many respondents believed their partners had no other sexual contacts. Those with three or more partners frequently perceived their partners to have three or more partners as well.
CONCLUSIONS: Assortatively mixing persons of high sexual activity makes the persistence of STDs within a population likely (i.e., they act as a "core group"). Additionally, because mixing is not highly assortative (like with like), a steady trickle of infection from members of the core group will pass to other segments of the population.

Entities:  

Mesh:

Year:  1996        PMID: 8724517     DOI: 10.1097/00007435-199605000-00015

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  43 in total

Review 1.  Methods and measures for the description of epidemiologic contact networks.

Authors:  C S Riolo; J S Koopman; S E Chick
Journal:  J Urban Health       Date:  2001-09       Impact factor: 3.671

2.  Assessing the effects of human mixing patterns on human immunodeficiency virus-1 interhost phylogenetics through social network simulation.

Authors:  Steven M Goodreau
Journal:  Genetics       Date:  2006-04       Impact factor: 4.562

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.  HIV Treatment in Resource-Limited Environments: Treatment Coverage and Insights.

Authors:  Amin Khademi; Denis Saure; Andrew Schaefer; Kimberly Nucifora; R Scott Braithwaite; Mark S Roberts
Journal:  Value Health       Date:  2015-11-12       Impact factor: 5.725

5.  Contact tracing strategies in heterogeneous populations.

Authors:  K T D Eames
Journal:  Epidemiol Infect       Date:  2006-07-19       Impact factor: 2.451

6.  Resolution limit in community detection.

Authors:  Santo Fortunato; Marc Barthélemy
Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-26       Impact factor: 11.205

7.  What is the achievable effectiveness of the India AIDS Initiative intervention among female sex workers under target coverage? Model projections from southern India.

Authors:  J R Williams; A M Foss; P Vickerman; C Watts; B M Ramesh; S Reza-Paul; R G Washington; S Moses; J Blanchard; C M Lowndes; M Alary; M-C Boily
Journal:  Sex Transm Infect       Date:  2006-10       Impact factor: 3.519

8.  Dynamic social networks and the implications for the spread of infectious disease.

Authors:  Jonathan M Read; Ken T D Eames; W John Edmunds
Journal:  J R Soc Interface       Date:  2008-09-06       Impact factor: 4.118

9.  Associations of sex ratios and male incarceration rates with multiple opposite-sex partners: potential social determinants of HIV/STI transmission.

Authors:  Enrique R Pouget; Trace S Kershaw; Linda M Niccolai; Jeannette R Ickovics; Kim M Blankenship
Journal:  Public Health Rep       Date:  2010 Jul-Aug       Impact factor: 2.792

10.  Bias Due to Correlation Between Times-at-Risk for Infection in Epidemiologic Studies Measuring Biological Interactions Between Sexually Transmitted Infections: A Case Study Using Human Papillomavirus Type Interactions.

Authors:  Talía Malagón; Philippe Lemieux-Mellouki; Jean-François Laprise; Marc Brisson
Journal:  Am J Epidemiol       Date:  2016-12-07       Impact factor: 4.897

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.