JSM 2005 - Toronto

Abstract #303627

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 217
Type: Topic Contributed
Date/Time: Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #303627
Title: New Methods for Back-calculating the Number of HIV Infections in the United States
Author(s): Philip Rhodes*+ and M. Kathleen Glynn
Companies: Centers for Disease Control and Prevention and Centers for Disease Control and Prevention
Address: 1600 Clifton Road, Atlanta, GA, 30345, United States
Keywords: Back-calculation ; infectious disease models ; HIV/AIDS ; EM algorithm
Abstract:

There are no direct estimates of the number of HIV infections that have occurred in the United States. Early in the epidemic, indirect estimates were obtained by back-calculation methods using AIDS diagnoses dates and the estimated incubation period from infection to AIDS. This method was not useful for estimating recent infections due to the length of the typical incubation period (8--10 years). In addition, changes in the AIDS case definition (immunologic criteria) and treatment effects of antiretroviral agents further discouraged the use of these methods in the U.S. New methods have been proposed that incorporate more information about HIV disease history and overcome many of these difficulties. We present a model based on the first-known detection date and whether the date is concurrent with an AIDS diagnosis. The model avoids treatment complications as only diagnosed individuals receive treatment. Because detections can occur early in the infection process, the model provides estimates for recent time periods. We give estimates for the U.S. HIV epidemic using national HIV/AIDS surveillance data reported to CDC and explore effects of violations of model assumptions.


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Revised March 2005