ESTIMATING THE SEXUAL MIXING PATTERNS IN THE GENERAL-POPULATION FROM THOSE IN PEOPLE ACQUIRING GONORRHEA INFECTION - THEORETICAL FOUNDATIONAND EMPIRICAL-FINDINGS
A. Renton et al., ESTIMATING THE SEXUAL MIXING PATTERNS IN THE GENERAL-POPULATION FROM THOSE IN PEOPLE ACQUIRING GONORRHEA INFECTION - THEORETICAL FOUNDATIONAND EMPIRICAL-FINDINGS, Journal of epidemiology and community health, 49(2), 1995, pp. 205-213
Study objectives - To describe mathematically the relationship between
patterns of sexual mixing in the general population and those of peop
le with gonorrhoea infection, and hence to estimate the sexual mixing
matrix for the general population. Design - Integration of data descri
bing 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. Setting - The general population of
London and a genitourinary medicine (GUM) clinic in west London. Part
icipants - These comprised 1520 men and women living in London who wer
e randomly selected for the national survey of sexual attitudes and Li
festyles 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. An empirical estimate of the sex
ual mixing matrix for the general population is presented. The results
provide tentative evidence that individuals with high rates of acquis
ition of sexual partners preferentially select other individuals with
high rates as partners (assortative mixing) . Conclusions - Reliable e
stimates of sexual mixing have been shown to be important for understa
nding the evolution of the epidemics of HIV infection and other sexual
ly transmitted diseases. The possibility of estimating patterns of sex
ual mixing in the general population from information routinely collec
ted in gonorrhoea contact tracing programmes is demonstrated. Furtherm
ore, the approach we describe could, in principle, be used to estimate
the same patterns of mixing, using contact tracing data for other sex
ually transmitted diseases, thus providing a way of validating our res
ults.