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

BACKGROUND: 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,...

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Autores principales: Wand, Handan, Whitaker, Claire, Ramjee, Gita
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3098769/
https://www.ncbi.nlm.nih.gov/pubmed/21496324
http://dx.doi.org/10.1186/1476-072X-10-28
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author Wand, Handan
Whitaker, Claire
Ramjee, Gita
author_facet Wand, Handan
Whitaker, Claire
Ramjee, Gita
author_sort Wand, Handan
collection PubMed
description BACKGROUND: 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. METHOD: 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. RESULTS: 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. CONCLUSION: The study revealed significant geographic variability in HIV infection in the eThekwini Metropolitan Municipality in KwaZulu-Natal, South Africa.
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spelling pubmed-30987692011-05-21 Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South Africa Wand, Handan Whitaker, Claire Ramjee, Gita Int J Health Geogr Research BACKGROUND: 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. METHOD: 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. RESULTS: 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. CONCLUSION: The study revealed significant geographic variability in HIV infection in the eThekwini Metropolitan Municipality in KwaZulu-Natal, South Africa. BioMed Central 2011-04-17 /pmc/articles/PMC3098769/ /pubmed/21496324 http://dx.doi.org/10.1186/1476-072X-10-28 Text en Copyright ©2011 Wand et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Wand, Handan
Whitaker, Claire
Ramjee, Gita
Geoadditive models to assess spatial variation of HIV infections among women in Local communities of Durban, South Africa
title 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_short 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
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3098769/
https://www.ncbi.nlm.nih.gov/pubmed/21496324
http://dx.doi.org/10.1186/1476-072X-10-28
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