Infectiousness of HIV between male homosexual partners
Boston University, Boston, Massachusetts, United States Journal of Clinical Epidemiology
(Impact Factor: 3.42).
02/1989; 42(9):849-56. DOI: 10.1016/0895-4356(89)90098-X
To estimate the risk of transmission of HIV per receptive anal sexual contact, 329 homosexually-active men, representing 155 sexual partnerships, were enrolled into a study. Information on HIV infection status and sexual behavior within and outside the primary relationship was collected. Of these 329 men, 24 had AIDS and 31 had ARC. Of the 155 couples, 35 consisted of partners that were both HIV +; 62 of partners that were both HIV-; and 58 were discordant. A binomial model was fit to data obtained in the first visit to estimate per contact risk of HIV transmission. Assuming a constant risk of transmission per sexual contact between infected and uninfected partners, the estimated risk is about 5 to 30 per 1000 receptive anal exposures to ejaculate. Although the average risk of HIV transmission per sexual contact appears to be low, there appears to be great variability in infectivity. To model this variability over time and across individuals, more complex models must be fit to longitudinal studies of sexual partners.
Available from: Allanise Cloete
- "In terms of HIV, sex between men is highly infectious because it can involve anal sex which when unprotected carries a very high risk of HIV transmission (De Gruttola et al., 1989). On the other hand, the vulnerability to HIV infection of WSW is not the result of specific sexual practices, but the result of a myriad of societal factors. "
[Show abstract] [Hide abstract]
ABSTRACT: South Africa is home to the largest population of people living with HIV/AIDS (PLWHA). Of this population gender non-conforming women like women who have sex with women (WSW) remain undocumented. This study is an attempt to fill this information gap as it describes the demographic, health and sexual behaviours of 72 HIV positive WSW. The data indicate that WSW are not protected from HIV because of their same sex desires. These findings suggest the need to include WSW as a most at risk group for both HIV prevention and treatment programmes. Key words: Women who have sex with women (WSW), lesbians, HIV positive, corrective rape, female-to-female transmission of HIV, South Africa.
Available from: Shan Mei
- "The value of TP i (see Section 3.3) is related to the infection stage of an individual V i , given by TP PI,1 , TP PI,2 , TP AP or TP AIDS . According to   , the probability of the transmission per URAI/UIAI act at stage PI and AP is 0.22/0.044 and 0.011/0.0022, "
[Show abstract] [Hide abstract]
ABSTRACT: Simulating the spreading of the human immunodeficiency virus (HIV) epidemic requires a detailed description of the population network, especially for small populations in which individuals can be represented in detail and accuracy. In this paper, we introduce the concept of a complex agent network (CAN) to model the HIV epidemic by combining multi-agent systems and complex networks, in which agents represent individuals who can have sexual interactions. The applicability of CANs is demonstrated by constructing and executing a detailed HIV epidemic model for men who have sex with men (MSM) in Amsterdam, including a distinction between steady and casual relationships. We focus on MSM contacts because they play an important role in HIV epidemics and have been tracked in Amsterdam for a long time. Our experiments show good correspondence between the historical data of the Amsterdam cohort study and the simulation results.
Mathematics and Computers in Simulation 01/2010; 80(5-80):1018-1030. DOI:10.1016/j.matcom.2009.12.008 · 0.95 Impact Factor
Available from: Cynthia R Pearson
- "Researchers in sexually transmitted diseases have developed Bernoulli process models to explore and compare the impact on risk of various HIV/AIDS interventions *including increased condom use, reductions in the number of sexual partners and the careful selection of partners (Fineberg, 1988; Hearst & Hulley, 1988; Pinkerton & Abramson, 1998; Wiley & Herschkorn, 1988) *as well as to derive estimates of the per-contact probability of HIV transmission for unprotected sexual intercourse (DeGruttola et al., 1989). In this type of model, each act of sexual intercourse is treated as an independent Bernoulli trial and the probability of a 'success' (i.e. "
[Show abstract] [Hide abstract]
ABSTRACT: Understanding sexual behavior and assessing transmission risk among people living with HIV-1 is crucial for effective HIV-1 prevention. We describe sexual behavior among HIV-positive persons initiating highly active antiretroviral therapy (HAART) in Beira, Mozambique. We present a Bernoulli process model (tool available online) to estimate the number of sexual partners who would acquire HIV-1 as a consequence of sexual contact with study participants within the prior three months. Baseline data were collected on 350 HAART-naive individuals 18-70 years of age from October 2004 to February 2005. In the three months prior to initiating HAART, 45% (n = 157) of participants had sexual relationships with 191 partners. Unprotected sex occurred in 70% of partnerships, with evidence suggesting unprotected sex was less likely with partners believed to be HIV-negative. Only 26% of the participants disclosed their serostatus to partners with a negative or unknown serostatus. Women were less likely to report concurrent relationships than were men (21 versus 66%; OR 0.13; 95%CI: 0.06, 0.26). Given baseline behaviors, the model estimated 23.2 infections/1,000 HIV-positive persons per year. The model demonstrated HAART along with syphilis and herpes simplex virus type 2 (HSV-2) treatment combined could reduce HIV-1 transmission by 87%; increasing condom use could reduce HIV-1 transmission by 67%.
AIDS Care 06/2007; 19(5):594-604. DOI:10.1080/09540120701203337 · 1.60 Impact Factor
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.