AIDS (London, England) · 1997
Assortative sexual mixing in a heterosexual clinic population--a limiting factor in HIV spread?
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Barlow D, Daker-White G, Band B
Аннотация
OBJECTIVE: To assess the degree of sexual mixing in a sexually transmitted disease clinic population stratified by country of birth.
DESIGN: Prospective linked HIV serosurvey incorporating demographic and sexual risk data gathered by a doctor-administered questionnaire.
SETTING: The Department of Genitourinary Medicine at St Thomas' Hospital, London, UK.
SUBJECTS: Fifteen thousand eight hundred and seventy-eight heterosexuals who attended between April 1992 and February 1995.
MAIN OUTCOME MEASURE: The degree of assortative (like-with-like) mixing, after stratification of the population by country of birth, of index patients, their parents and their sexual partners.
RESULTS: Sexual mixing in this population of sexually transmitted disease clinic attenders is highly assortative when the CoB of parents (family origin) of index patients is taken into account.
CONCLUSION: Our findings help to explain the low spread of heterosexual HIV infection in the UK to date, and may help future projections, and health targeting of those at risk. This model can be applied to other mixed population.
DESIGN: Prospective linked HIV serosurvey incorporating demographic and sexual risk data gathered by a doctor-administered questionnaire.
SETTING: The Department of Genitourinary Medicine at St Thomas' Hospital, London, UK.
SUBJECTS: Fifteen thousand eight hundred and seventy-eight heterosexuals who attended between April 1992 and February 1995.
MAIN OUTCOME MEASURE: The degree of assortative (like-with-like) mixing, after stratification of the population by country of birth, of index patients, their parents and their sexual partners.
RESULTS: Sexual mixing in this population of sexually transmitted disease clinic attenders is highly assortative when the CoB of parents (family origin) of index patients is taken into account.
CONCLUSION: Our findings help to explain the low spread of heterosexual HIV infection in the UK to date, and may help future projections, and health targeting of those at risk. This model can be applied to other mixed population.