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237Spatial distribution and correlates of HIV prevalence in South Africa
Background South Africa has a high HIV prevalence and generalized HIV epidemic. It is now well established that the HIV epidemic and its drivers are highly heterogeneous, even in generalized HIV epidemic settings. Methods This study uses data from South African HIV/AIDS, Behavioural Risks, Sero-stat...
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Published in: | International journal of epidemiology 2021-09, Vol.50 (Supplement_1) |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Online Access: | Get full text |
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Summary: | Background
South Africa has a high HIV prevalence and generalized HIV epidemic. It is now well established that the HIV epidemic and its drivers are highly heterogeneous, even in generalized HIV epidemic settings.
Methods
This study uses data from South African HIV/AIDS, Behavioural Risks, Sero-status, and Mass Media Impact (SABSSM), 2005, 2008 and 2012 surveys. To identify spatial clusters, we used the spatial scan statistic method in SaTScan, assuming discrete Poisson distributions. Poisson regression models were used to explore the municipality-level correlates of HIV prevalence and a logistic regression model was used to determine individual-level correlates of HIV infection.
Results
Between 2005 and 2012, There was significant geographical variation in estimated HIV prevalence (range = |
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ISSN: | 0300-5771 1464-3685 |
DOI: | 10.1093/ije/dyab168.475 |