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ABSTRACT: Objectives
The aim of the study was to propose and demonstrate an approach to allow additional nonsampling uncertainty about HIV prevalence measured at antenatal clinic sentinel surveillance (ANC-SS) in model-based inferences about trends in HIV incidence and prevalence.Design
Mathematical model fitted to surveillance data with Bayesian inference.Methods
We introduce a variance inflation parameter (Equation is included in full-text article.)that accounts for the uncertainty of nonsampling errors in ANC-SS prevalence. It is additive to the sampling error variance. Three approaches are tested for estimating (Equation is included in full-text article.)using ANC-SS and household survey data from 40 subnational regions in nine countries in sub-Saharan, as defined in UNAI
SUBMITTER: Eaton JW
PROVIDER: S-EPMC5679137 | biostudies-literature | 2017 Apr
REPOSITORIES: biostudies-literature