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Redefining the HIV epidemic in Nigeria: from national to state level
BACKGROUND: Governments are increasingly recognizing the need to focus limited HIV resources on specific geographic areas and specific populations to have a greater impact. Nigeria, with the second largest HIV epidemic in the world, is an important example of where more localized programming has the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4247268/ https://www.ncbi.nlm.nih.gov/pubmed/25406749 http://dx.doi.org/10.1097/QAD.0000000000000459 |
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author | Mahy, Mary Nzima, Masauso Ogungbemi, Michael K. Ogbang, Doris A. Morka, Mercy Chinenye Stover, John |
author_facet | Mahy, Mary Nzima, Masauso Ogungbemi, Michael K. Ogbang, Doris A. Morka, Mercy Chinenye Stover, John |
author_sort | Mahy, Mary |
collection | PubMed |
description | BACKGROUND: Governments are increasingly recognizing the need to focus limited HIV resources on specific geographic areas and specific populations to have a greater impact. Nigeria, with the second largest HIV epidemic in the world, is an important example of where more localized programming has the potential to improve the efficiency of the HIV response. METHODS: Using Spectrum software we modelled the Nigerian HIV epidemic using two methods: First, we created national HIV estimates using trends in urban and rural areas. Second, we created national HIV estimates using trends from each of the 37 states in Nigeria and aggregated these results. In both instances we used HIV surveillance data from antenatal clinics and household surveys and aggregated the trends to determine the national epidemic. RESULTS: The state models showed divergent trends in the 37 states. Comparing the national results calculated from the two methods resulted in different conclusions. In the aggregated state files, adult HIV incidence in Nigeria was stable between 2005 and 2013 (change of −6%), whereas the urban and rural file suggested incidence was decreasing over the same time (change of −50%). This difference was also reflected in the HIV prevalence trends, although the two methods showed similar trends in AIDS-related mortality. The two models had similar adult HIV prevalence in 2013: 3.0% (2.0–4.5%) in the aggregated state files versus 3.2% (3.0–3.5%) in the urban/rural file. CONCLUSION: The state-level estimates provide insight into the variations of the HIV epidemic in each state and provide useful information for programme managers. However, the reliability of the results is highly dependent on the amount and quality of data available from each sub-national area. |
format | Online Article Text |
id | pubmed-4247268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-42472682014-12-01 Redefining the HIV epidemic in Nigeria: from national to state level Mahy, Mary Nzima, Masauso Ogungbemi, Michael K. Ogbang, Doris A. Morka, Mercy Chinenye Stover, John AIDS The 2013/14 UNAIDS Estimates Methods: Extending The Scope and Granularity of HIV Estimates BACKGROUND: Governments are increasingly recognizing the need to focus limited HIV resources on specific geographic areas and specific populations to have a greater impact. Nigeria, with the second largest HIV epidemic in the world, is an important example of where more localized programming has the potential to improve the efficiency of the HIV response. METHODS: Using Spectrum software we modelled the Nigerian HIV epidemic using two methods: First, we created national HIV estimates using trends in urban and rural areas. Second, we created national HIV estimates using trends from each of the 37 states in Nigeria and aggregated these results. In both instances we used HIV surveillance data from antenatal clinics and household surveys and aggregated the trends to determine the national epidemic. RESULTS: The state models showed divergent trends in the 37 states. Comparing the national results calculated from the two methods resulted in different conclusions. In the aggregated state files, adult HIV incidence in Nigeria was stable between 2005 and 2013 (change of −6%), whereas the urban and rural file suggested incidence was decreasing over the same time (change of −50%). This difference was also reflected in the HIV prevalence trends, although the two methods showed similar trends in AIDS-related mortality. The two models had similar adult HIV prevalence in 2013: 3.0% (2.0–4.5%) in the aggregated state files versus 3.2% (3.0–3.5%) in the urban/rural file. CONCLUSION: The state-level estimates provide insight into the variations of the HIV epidemic in each state and provide useful information for programme managers. However, the reliability of the results is highly dependent on the amount and quality of data available from each sub-national area. Lippincott Williams & Wilkins 2014-11 2014-11-20 /pmc/articles/PMC4247268/ /pubmed/25406749 http://dx.doi.org/10.1097/QAD.0000000000000459 Text en © 2014 Wolters Kluwer Health | Lippincott Williams & Wilkins http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | The 2013/14 UNAIDS Estimates Methods: Extending The Scope and Granularity of HIV Estimates Mahy, Mary Nzima, Masauso Ogungbemi, Michael K. Ogbang, Doris A. Morka, Mercy Chinenye Stover, John Redefining the HIV epidemic in Nigeria: from national to state level |
title | Redefining the HIV epidemic in Nigeria: from national to state level |
title_full | Redefining the HIV epidemic in Nigeria: from national to state level |
title_fullStr | Redefining the HIV epidemic in Nigeria: from national to state level |
title_full_unstemmed | Redefining the HIV epidemic in Nigeria: from national to state level |
title_short | Redefining the HIV epidemic in Nigeria: from national to state level |
title_sort | redefining the hiv epidemic in nigeria: from national to state level |
topic | The 2013/14 UNAIDS Estimates Methods: Extending The Scope and Granularity of HIV Estimates |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4247268/ https://www.ncbi.nlm.nih.gov/pubmed/25406749 http://dx.doi.org/10.1097/QAD.0000000000000459 |
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