Should Biomarker Estimates of HIV Incidence be Adjusted?
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Reply to 'Should biomarker estimates of HIV incidence be adjusted?'.
OBJECTIVE To evaluate adjustment procedures that have been proposed to correct HIV incidence rates derived from cross-sectional surveys of biomarkers (e.g. BED capture enzyme immunoassay). These procedures were motivated by some reports that the biomarker BED approach overestimates incidence when compared to cohort studies. DESIGN Consideration of the Hargrove and McDougal adjustment procedur...
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OBJECTIVE Develop a simple method for optimal estimation of HIV incidence using the BED capture enzyme immunoassay. DESIGN Use existing BED data to estimate mean recency duration, false recency rates and HIV incidence with reference to a fixed time period, T. METHODS Compare BED and cohort estimates of incidence referring to identical time frames. Generalize this approach to suggest a metho...
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HIV incidence estimates are used to monitor HIV-1 infection in the United States. Use of laboratory biomarkers that distinguish recent from longstanding infection to quantify HIV incidence rely on having accurate knowledge of the average time that individuals spend in a transient state of recent infection between seroconversion and reaching a specified biomarker cutoff value. This paper describ...
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Accurate estimates of HIV incidence are crucial to understand the extent of transmission of the infection, evaluate intervention strategies and effectively plan new public health control measures. HIV/AIDS surveillance systems in numerous industrialised countries record the number of known new HIV and/or AIDS diagnoses, which are often used as a surrogate marker for HIV incidence. HIV/AIDS diag...
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تاریخ انتشار 2016