Literature DB >> 8413586

Telling tails explain the discrepancy in sexual partner reports.

M Morris1.   

Abstract

An anomaly often noted in surveys of sexual behaviour is that the number of female sexual partners reported by men exceeds the number of male partners reported by women. This discrepancy is sometimes interpreted as evidence that surveys produce unreliable data due to sex-linked response and sampling bias. We report here that among the 90% of respondents reporting fewer than 20 lifetime partners, however, the ratio of male to female reports drops from 3.2:1 to 1.2:1. The anomaly thus appears to be driven by the upper tail of the contact distribution, an example of the general principle of outlier influence in data analysis. The implication is that sexual behaviour surveys provide reliable data in the main, and that simple improvements can increase precision in the upper tail to make these data more useful for modelling the spread of AIDS and other sexually transmitted diseases.

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Year:  1993        PMID: 8413586     DOI: 10.1038/365437a0

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  41 in total

1.  Heterosexual HIV transmission and STD prevalence: predictions of a theoretical model.

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2.  Prostitution and the sex discrepancy in reported number of sexual partners.

Authors:  D D Brewer; J J Potterat; S B Garrett; S Q Muth; J M Roberts; D Kasprzyk; D E Montano; W W Darrow
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

3.  An assessment of preferential attachment as a mechanism for human sexual network formation.

Authors:  James Holland Jones; Mark S Handcock
Journal:  Proc Biol Sci       Date:  2003-06-07       Impact factor: 5.349

Review 4.  Behavioural data as an adjunct to HIV surveillance data.

Authors:  G P Garnett; J M Garcia-Calleja; T Rehle; S Gregson
Journal:  Sex Transm Infect       Date:  2006-04       Impact factor: 3.519

5.  Spreading of sexually transmitted diseases in heterosexual populations.

Authors:  Jesús Gómez-Gardeñes; Vito Latora; Yamir Moreno; Elio Profumo
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-22       Impact factor: 11.205

6.  Degree distributions in sexual networks: a framework for evaluating evidence.

Authors:  Deven T Hamilton; Mark S Handcock; Martina Morris
Journal:  Sex Transm Dis       Date:  2008-01       Impact factor: 2.830

7.  Sexual Mixing in Shanghai: Are Heterosexual Contact Patterns Compatible With an HIV/AIDS Epidemic?

Authors:  M Giovanna Merli; James Moody; Joshua Mendelsohn; Robin Gauthier
Journal:  Demography       Date:  2015-06

Review 8.  HSV-2 serology can be predictive of HIV epidemic potential and hidden sexual risk behavior in the Middle East and North Africa.

Authors:  Laith J Abu-Raddad; Joshua T Schiffer; Rhoda Ashley; Ghina Mumtaz; Ramzi A Alsallaq; Francisca Ayodeji Akala; Iris Semini; Gabriele Riedner; David Wilson
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9.  The relationship history calendar: improving the scope and quality of data on youth sexual behavior.

Authors:  Nancy Luke; Shelley Clark; Eliya M Zulu
Journal:  Demography       Date:  2011-08

10.  Timing is everything: international variations in historical sexual partnership concurrency and HIV prevalence.

Authors:  Martina Morris; Helen Epstein; Maria Wawer
Journal:  PLoS One       Date:  2010-11-24       Impact factor: 3.240

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