Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South Africa

<p>Abstract</p> <p>Background</p> <p>The severity of the HIV/AIDS epidemic in South Africa varies between and within provinces, with differences noted even at the suburban scale. We investigated the geographical variability of HIV infection in rural areas of the eThekwi...

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Main Authors: Whitaker Claire, Wand Handan, Ramjee Gita
Format: Article
Language:English
Published: BMC 2011-04-01
Series:International Journal of Health Geographics
Online Access:http://www.ij-healthgeographics.com/content/10/1/28
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spelling doaj-c3d7560f89624d70a6442e96ce314a812020-11-25T02:27:30ZengBMCInternational Journal of Health Geographics1476-072X2011-04-011012810.1186/1476-072X-10-28Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South AfricaWhitaker ClaireWand HandanRamjee Gita<p>Abstract</p> <p>Background</p> <p>The severity of the HIV/AIDS epidemic in South Africa varies between and within provinces, with differences noted even at the suburban scale. We investigated the geographical variability of HIV infection in rural areas of the eThekwini Metropolitan Municipality in KwaZulu-Natal province, South Africa.</p> <p>Method</p> <p>We used geoadditive models to assess nonlinear geographical variation in HIV prevalence while simultaneously controlling for important demographic and sexual risk factors. A total of 3,469 women who were screened for a Phase-III randomized trial were included in the current analysis.</p> <p>Results</p> <p>We found significant spatial patterns that could not be explained by demographic and sexual risk behaviors. In particular, the epidemic was determined to be much worse 44 km south of Durban after controlling for all demographic and sexual risk behaviors.</p> <p>Conclusion</p> <p>The study revealed significant geographic variability in HIV infection in the eThekwini Metropolitan Municipality in KwaZulu-Natal, South Africa.</p> http://www.ij-healthgeographics.com/content/10/1/28
collection DOAJ
language English
format Article
sources DOAJ
author Whitaker Claire
Wand Handan
Ramjee Gita
spellingShingle Whitaker Claire
Wand Handan
Ramjee Gita
Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South Africa
International Journal of Health Geographics
author_facet Whitaker Claire
Wand Handan
Ramjee Gita
author_sort Whitaker Claire
title Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South Africa
title_short Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South Africa
title_full Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South Africa
title_fullStr Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South Africa
title_full_unstemmed Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South Africa
title_sort geoadditive models to assess spatial variation of hiv infections among women in local communities of durban, south africa
publisher BMC
series International Journal of Health Geographics
issn 1476-072X
publishDate 2011-04-01
description <p>Abstract</p> <p>Background</p> <p>The severity of the HIV/AIDS epidemic in South Africa varies between and within provinces, with differences noted even at the suburban scale. We investigated the geographical variability of HIV infection in rural areas of the eThekwini Metropolitan Municipality in KwaZulu-Natal province, South Africa.</p> <p>Method</p> <p>We used geoadditive models to assess nonlinear geographical variation in HIV prevalence while simultaneously controlling for important demographic and sexual risk factors. A total of 3,469 women who were screened for a Phase-III randomized trial were included in the current analysis.</p> <p>Results</p> <p>We found significant spatial patterns that could not be explained by demographic and sexual risk behaviors. In particular, the epidemic was determined to be much worse 44 km south of Durban after controlling for all demographic and sexual risk behaviors.</p> <p>Conclusion</p> <p>The study revealed significant geographic variability in HIV infection in the eThekwini Metropolitan Municipality in KwaZulu-Natal, South Africa.</p>
url http://www.ij-healthgeographics.com/content/10/1/28
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AT wandhandan geoadditivemodelstoassessspatialvariationofhivinfectionsamongwomeninlocalcommunitiesofdurbansouthafrica
AT ramjeegita geoadditivemodelstoassessspatialvariationofhivinfectionsamongwomeninlocalcommunitiesofdurbansouthafrica
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