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Modeling HIV transmission risk among Mozambicans prior to their initiating highly active antiretroviral therapy

Identifieur interne : 000398 ( Ncbi/Checkpoint ); précédent : 000397; suivant : 000399

Modeling HIV transmission risk among Mozambicans prior to their initiating highly active antiretroviral therapy

Auteurs : C. R. Pearson [États-Unis] ; A. E. Kurth [États-Unis] ; S. Cassels [États-Unis] ; D. P. Martin [États-Unis] ; J. M. Simoni [États-Unis] ; P. Hoff [États-Unis] ; E. Matediana [Mozambique] ; S. Gloyd [États-Unis]

Source :

RBID : PMC:4226799

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%.


Url:
DOI: 10.1080/09540120701203337
PubMed: 17505919
PubMed Central: 4226799


Affiliations:


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PMC:4226799

Le document en format XML

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