Download e-book for iPad: A general model for multivariate analysis by Jeremy D. Finn

By Jeremy D. Finn

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3). Provision must be made for secular trends in the incubation distribution that arose from changes in the definition of AIDS and from the use of treatments capable of retarding the onset of AIDS, particularly after 1987. 3) and to project AIDS incidence. Indeed, back-calculation yields comparatively reliable projections of AIDS incidence, unless sudden changes in the surveillance system or new methods of treatment supervene. The number of persons living with AIDS (AIDS prevalence) and the corresponding AIDS prevalence rate, which is obtained by dividing by the population size, are important indicators of the need for health services.

Such studies could identify factors associated with increased risk of incident seroconversion. 1). 3 we discuss the strengths and weaknesses of these designs and some of the findings from such studies. Studies of the types just mentioned were applied to determining factors affecting risk of infection among homosexual or bisexual men, intravenous drug users (IVDUs), patients with hemophilia, and heterosexuals. In these case-control and cohort studies, there is usually 19 20 AIDS Epidemiology: A Quantitative Approach little information on the precise time or times when exposure to HIV occurred.

This number represents a substantial fraction of the approximately 14,000 patients with hemophilia in the United States (Peterman and Allen, 1989). The risk of infection was related to the type and severity of hemophilia. , 1989). This dose-response relationship between disease severity, which determines the clotting factor requirements, and the chance of infection was also seen for other types of hemophilia. Thirty-one percent of patients with type B hemophilia (factor IX deficiency) were infected, and 14% of patients with other forms of hemophilia were infected.

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