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Activity Number:
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537
- SPEED: Infectious Disease, Environmental Epidemiology, and Diet
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2018 : 10:30 AM to 11:15 AM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract #332595
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Title:
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Comparison Between HIV Routine Testing Data and Sentinel Surveillance Data
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Author(s):
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Ben Sheng* and Jeffrey Eaton and Kimberly Marsh and Mary Mahy and Le Le Bao
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Companies:
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Pennsylvania State University and Imperial College London and UNAIDS and UNAIDS and Penn State University
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Keywords:
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antenatal clinic;
HIV prevalence;
sentinel surveillance;
routine HIV testing among pregnant women;
informative prior;
maximum likelihood estimation
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Abstract:
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In recent years, countries have transitioned from conducting sentinel surveillance (SS) to using routine testing (RT) in order to collect data on HIV prevalence. However, many countries shifted from SS to RT without temporal overlap; in the transition period, we cannot distinguish whether a change in observed prevalence is due to a change in underlying prevalence or due to a change in data source. To address this problem, we propose an informative prior distribution for the calibration parameter between SS and RT. We create this informative prior based on maximum likelihood analysis of countries with SS and RT in overlapping years.
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Authors who are presenting talks have a * after their name.
