Study objectives-To describe mathematically the relationship between patterns of sexual mixing in the general population and those of people with gonorrhoea infection, and hence to estimate the sexual mixing matrix for the general population.
Setting-The general population of London and a genitourinary medicine (GUM) clinic in west London.
Participants-These comprised 1520 men and women living in London who were randomly selected for the national survey of sexual attitudes and lifestyles and 2414 heterosexual men and women who presented to the GUM clinic with gonorrhoea.
Main results-The relationship between sexual mixing among people with gonorrhoea and sexual mixing in the general population is derived mathematically.
The results provide tentative evidence that individuals with high rates of acquisition of sexual partners preferentially select other individuals with high rates as partners.
Conclusions-Reliable estimates of sexual mixing have been shown to be important for understanding the evolution of the epidemics of HIV infection and other sexually transmitted diseases.
The possibility of estimating patterns of sexual mixing in the general population from information routinely collected in gonorrhoea contact tracing programmes is demonstrated.
Furthermore, the approach we describe could, in principle, be used to estimate the same patterns of mixing, using contact tracing data for other sexually transmitted diseases, thus providing a way of validating our results.
Mots-clés Pascal : Gonococcie, Bactériose, Infection, Transmission homme homme, Modèle théorique, Modèle mathématique, Comportement sexuel, Relation sexuelle, Royaume Uni, Europe, Homme
Mots-clés Pascal anglais : Gonococcal infection, Bacteriosis, Infection, Transmission from man to man, Theoretical model, Mathematical model, Sexual behavior, Sexual intercourse, United Kingdom, Europe, Human
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 95-0330047
Code Inist : 002B05F02. Création : 01/03/1996.