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M94A2304.TXT
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1994-10-25
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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).