Literature DB >> 1806122

Estimation of a preference matrix for women's choice of male sexual partner according to rate of partner change, using partner notification data.

F Granath1, J Giesecke, G Scalia-Tomba, K Ramstedt, L Forssman.   

Abstract

Data from a study of partner notification for venereal chlamydial infection are used to estimate the contact preference matrix, according to sexual contact activity levels of the male partners, of young heterosexual women. A method for correcting data for the bias introduced by studying infected women only is presented. Results indicate that an overall proportional mixing model is not an adequate description of the mixing pattern.

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Year:  1991        PMID: 1806122     DOI: 10.1016/0025-5564(91)90013-9

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  5 in total

1.  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

2.  Sexual mixing patterns in the spread of gonococcal and chlamydial infections.

Authors:  S O Aral; J P Hughes; B Stoner; W Whittington; H H Handsfield; R M Anderson; K K Holmes
Journal:  Am J Public Health       Date:  1999-06       Impact factor: 9.308

3.  The transmission dynamics of gonorrhoea: modelling the reported behaviour of infected patients from Newark, New Jersey.

Authors:  G P Garnett; K J Mertz; L Finelli; W C Levine; M E St Louis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-04-29       Impact factor: 6.237

4.  Estimating the sexual mixing patterns in the general population from those in people acquiring gonorrhoea infection: theoretical foundation and empirical findings.

Authors:  A Renton; L Whitaker; C Ison; J Wadsworth; J R Harris
Journal:  J Epidemiol Community Health       Date:  1995-04       Impact factor: 3.710

5.  Assortative mixing as a source of bias in epidemiological studies of sexually transmitted infections: the case of smoking and human papillomavirus.

Authors:  P Lemieux-Mellouki; M Drolet; J Brisson; E L Franco; M-C Boily; I Baussano; M Brisson
Journal:  Epidemiol Infect       Date:  2015-11-20       Impact factor: 4.434

  5 in total

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