Document 2304 DOCN M94A2304 TI Effect of matching male and female sexual partner reports on the spread of HIV. ACSF Investigators. DT 9412 AU Le Pont F; Clem C; Pakdaman K; Valleron AJ; B3e-INSERM U263, Faculte de Medecine St Antoine, Paris, France. SO Int Conf AIDS. 1994 Aug 7-12;10(1):334 (abstract no. PC0271). Unique Identifier : AIDSLINE ICA10/94370271 AB OBJECTIVE: To study the spread of HIV in the heterosexual general population and the impact of the correction of the discrepancies frequently noted in sexual behavior survey between male and female sexual partner reports concerning number and age of sexual partners. METHODS: We used socio-demographic data collected by the ACSF French survey on a random sample of 20,000 persons in 1992. To represent precisely the sexual behavior characteristics (such as the yearly number of new partners, the frequency of sexual practices, the duration of partnerships and the ages of the partners), we developed a discrete event simulation model which describes the life history of each individual and the sexual network dynamics. During the simulation, the model uses distributions estimated from the ACSF data, according to age and gender, to determine the yearly rate of sex partner change and the ages of the partners (i.e. mixing matrices). Discrepancies between female and male reports concerning age and number of sex partner are quantified and these distributions are modified based on either female or male responses in order to balance the supply and demand of sexual partnerships. RESULTS: The ratio of male to female reports in the yearly number of sex partner varies from 1.1 to 2.7 between age classes and is the greatest for the youngest age group. The predicted epidemic is greater when the distributions of the rate of partner change and the mixing matrices are adjusted to the male rather than to the female responses. When using the male responses, the epidemic is enhanced if underreporting of the number of partners is concentrated among multipartner women rather than among the less active. Modification of the age mixing matrices has also a specific effect: the epidemic increases with the proportion of the youngest age group that has partners of the same age. DE Adolescence Adult Bias (Epidemiology) Female France/EPIDEMIOLOGY Human HIV Infections/EPIDEMIOLOGY/PREVENTION & CONTROL/*TRANSMISSION HIV Seroprevalence/TRENDS Male Risk Factors Sex Behavior *Sexual Partners MEETING ABSTRACT SOURCE: National Library of Medicine. NOTICE: This material may be protected by Copyright Law (Title 17, U.S.Code).