A1232
Title: Estimating spatial distribution of HIV prevalence in South Africa from multiple survey data sources
Authors: Bedilu Alamirie Ejigu - Addis Ababa University (Ethiopia) [presenting]
Samuel Manda - University of Pretoria (South Africa)
Abstract: Analyses of multiple HIV data sources can enable accurate prediction of HIV burden. This is critical to support policy decision-makers in making more effective public health interventions to contain HIV. Using calibration techniques and spatial statistics methods, HIV data is combined from three different health surveys to estimate improved spatial patterns in the HIV burden in South Africa. HIV prevalence is found to be disproportionately varied between districts in South Africa. Synthesizing multiple data sources is encouraged to provide a more accurate representation of the health burden.
