title: Estimating the sexual mixing patterns in the general population from those in people acquiring gonorrhoea infection: theoretical foundation and empirical findings.
abstract: OBJECTIVE
  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.
  
  
  METHODS
  Integration of data describing sexual behaviour in the general population, with data describing sexual behaviour and mixing among individuals infected with gonorrhoea. Use of these data in a simple mathematical model of the transmission dynamics of gonorrhoea infection.
  
  
  METHODS
  The general population of London and a genitourinary medicine (GUM) clinic in west London.
  
  
  METHODS
  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.
  
  
  RESULTS
  The relationship between sexual mixing among people with gonorrhoea and sexual mixing in the general population is derived mathematically. An empirical estimate of the sexual mixing matrix for the general population is presented. The results provide tentative evidence that individuals with high rates of acquisition of sexual partners preferentially select other individuals with high rates as partners (assortative mixing).
  
  
  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.
authors.affiliation: Academic Department of Public Health, St Mary's Hospital, London.
authors.forename: A
authors.initials: A
authors.lastname: Renton
authors.forename: L
authors.initials: L
authors.lastname: Whitaker
authors.forename: C
authors.initials: C
authors.lastname: Ison
authors.forename: J
authors.initials: J
authors.lastname: Wadsworth
authors.forename: J R
authors.initials: JR
authors.lastname: Harris
mesh_terms: D000293:Adolescent; D000328:Adult; D016358:Contact Tracing; D005260:Female; D006069:Gonorrhea / Q000453:epidemiology / Q000635:transmission*; D006801:Humans; D008131:London / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D011159:Population Surveillance; D011897:Random Allocation; D012680:Sensitivity and Specificity; D012747:Sexual Partners