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- W349745283 abstract "Evaluation of HIV prevention programs is complicated by challenges at the biomedical, societal, and individual levels. Although the transmission of HIV is a discrete event, rarely can the outcome of a particular opportunity for transmission be ascertained with certainty. When seroconversion occurs, it is delayed by several weeks or even months from the time of infection. Moreover, most cases of HIV infection are detected only much later in the course of disease progression, after the manifestation of symptoms associated with deterioration of the immune system. Because of this uncertainty, from an analytic perspective HIV transmission is best viewed as a stochastic process. Thus, we might assume that there is a certain probability of HIV transmission each time a susceptible person has unprotected sex or engages in other HIV-risk behaviors. Or instead, we might consider each new sexual relationship as posing some definite HIV risk. In either case, risk is quantified as a probability of HIV transmission. Although the focus herein is on the sexual transmission of HIV, analogous models for drug injection-related risks also exist.1,2" @default.
- W349745283 created "2016-06-24" @default.
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- W349745283 date "1998-01-01" @default.
- W349745283 modified "2023-09-27" @default.
- W349745283 title "The Bernoulli-Process Model of HIV Transmission" @default.
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- W349745283 doi "https://doi.org/10.1007/978-1-4899-1878-9_2" @default.
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