Comparison of transmission rates of HIV-1 and HIV-2 in a cohort of prostitutes in Senegal |
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| Authors: | Christl Donnelly Wendy Leisenring Phyllis Kanki Tamara Awerbuch Sonja Sandberg |
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| Institution: | (1) Department of Biostatistics, Harvard School of Public Health, 02115 Boston, MA, U.S.A.;(2) Department of Cancer Biology, Harvard School of Public Health, 02115 Boston, MA, U.S.A.;(3) Framingham State College, Bunting Fellow at Harvard University and Mathematics Department, 01701 Framingham, MA, U.S.A. |
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| Abstract: | To explore the biological similarities and differences between the HIV-1 and HIV-2 viruses, we model the probability of male-to-female
transmission of either HIV virus as a function of the number of sexual partners, the prevalence of the viruses and the infectivity
per contact. Using maximum likelihood estimation theory and data from a prospective study of registered female prostitutes
in Dakar, Senegal, we estimate and compare the infectivities of HIV-1 and HIV-2. Graphical goodness-of-fit methods are used
to show that our model fits the data well. We find that in male-to-female transmission HIV-1 is significantly more infectious
than HIV-2. This findings is consistent with other data from laboratory and epidemiologic studies comparing the biology of
HIV-1 and HIV-2. |
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