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HIV Incidence and Spatial Clustering in a Rural Area of Southern Mozambique

BACKGROUND: Monitoring the HIV epidemic in a defined population is critical for planning treatment and preventive strategies. This is especially important in sub-Saharan Africa, which harbours the highest burden of the disease. OBJECTIVE: To estimate HIV incidence in adults aged 18-47 years old and...

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Autores principales: González, Raquel, Augusto, Orvalho J., Munguambe, Khátia, Pierrat, Charlotte, Pedro, Elpidia N., Sacoor, Charfudin, De Lazzari, Elisa, Aponte, John J., Macete, Eusébio, Alonso, Pedro L., Menendez, Clara, Naniche, Denise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493140/
https://www.ncbi.nlm.nih.gov/pubmed/26147473
http://dx.doi.org/10.1371/journal.pone.0132053
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author González, Raquel
Augusto, Orvalho J.
Munguambe, Khátia
Pierrat, Charlotte
Pedro, Elpidia N.
Sacoor, Charfudin
De Lazzari, Elisa
Aponte, John J.
Macete, Eusébio
Alonso, Pedro L.
Menendez, Clara
Naniche, Denise
author_facet González, Raquel
Augusto, Orvalho J.
Munguambe, Khátia
Pierrat, Charlotte
Pedro, Elpidia N.
Sacoor, Charfudin
De Lazzari, Elisa
Aponte, John J.
Macete, Eusébio
Alonso, Pedro L.
Menendez, Clara
Naniche, Denise
author_sort González, Raquel
collection PubMed
description BACKGROUND: Monitoring the HIV epidemic in a defined population is critical for planning treatment and preventive strategies. This is especially important in sub-Saharan Africa, which harbours the highest burden of the disease. OBJECTIVE: To estimate HIV incidence in adults aged 18-47 years old and to investigate spatial variations of HIV prevalence in Manhiça, a semi-rural area of southern Mozambique. METHODS: Two cross-sectional community-based surveys were conducted in 2010 and 2012 to determine HIV prevalence. Individual participants were randomly selected from the demographic surveillance system in place in the area and voluntary HIV counselling and testing was offered at the household level. HIV incidence was calculated using prevalence estimates from the two sero-surveys. Each participant’s household was geocoded using a global information system. The Spatial Scan Statistics programme was used to identify areas with disproportionate excess in HIV prevalence. RESULTS: A total of 1511 adults were tested. The estimated HIV prevalence in the community was 39.9% in 2010 and 39.7% in 2012. The overall HIV incidence was 3.6 new infections per 100 person-years at risk (PYAR) [95CI 1.56; 7.88], assuming stable epidemic conditions, and tended to be higher in women (4.9/100 PYAR [95CI 1.74; 11.85]) than in men (3.2/PYAR [95CI 1.36; 9.92]). One cluster with significant excess HIV prevalence was identified at the same geographic location in both surveys. This cluster had an HIV prevalence of 79.0% in 2010 and 52.3% in 2012. CONCLUSIONS: The findings of these first individually-randomised community-HIV sero-surveys conducted in Mozambique reinforce the need to combine HIV incidence estimates and research on micro geographical infection patterns to guide and consolidate effective prevention strategies.
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spelling pubmed-44931402015-07-15 HIV Incidence and Spatial Clustering in a Rural Area of Southern Mozambique González, Raquel Augusto, Orvalho J. Munguambe, Khátia Pierrat, Charlotte Pedro, Elpidia N. Sacoor, Charfudin De Lazzari, Elisa Aponte, John J. Macete, Eusébio Alonso, Pedro L. Menendez, Clara Naniche, Denise PLoS One Research Article BACKGROUND: Monitoring the HIV epidemic in a defined population is critical for planning treatment and preventive strategies. This is especially important in sub-Saharan Africa, which harbours the highest burden of the disease. OBJECTIVE: To estimate HIV incidence in adults aged 18-47 years old and to investigate spatial variations of HIV prevalence in Manhiça, a semi-rural area of southern Mozambique. METHODS: Two cross-sectional community-based surveys were conducted in 2010 and 2012 to determine HIV prevalence. Individual participants were randomly selected from the demographic surveillance system in place in the area and voluntary HIV counselling and testing was offered at the household level. HIV incidence was calculated using prevalence estimates from the two sero-surveys. Each participant’s household was geocoded using a global information system. The Spatial Scan Statistics programme was used to identify areas with disproportionate excess in HIV prevalence. RESULTS: A total of 1511 adults were tested. The estimated HIV prevalence in the community was 39.9% in 2010 and 39.7% in 2012. The overall HIV incidence was 3.6 new infections per 100 person-years at risk (PYAR) [95CI 1.56; 7.88], assuming stable epidemic conditions, and tended to be higher in women (4.9/100 PYAR [95CI 1.74; 11.85]) than in men (3.2/PYAR [95CI 1.36; 9.92]). One cluster with significant excess HIV prevalence was identified at the same geographic location in both surveys. This cluster had an HIV prevalence of 79.0% in 2010 and 52.3% in 2012. CONCLUSIONS: The findings of these first individually-randomised community-HIV sero-surveys conducted in Mozambique reinforce the need to combine HIV incidence estimates and research on micro geographical infection patterns to guide and consolidate effective prevention strategies. Public Library of Science 2015-07-06 /pmc/articles/PMC4493140/ /pubmed/26147473 http://dx.doi.org/10.1371/journal.pone.0132053 Text en © 2015 González et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
González, Raquel
Augusto, Orvalho J.
Munguambe, Khátia
Pierrat, Charlotte
Pedro, Elpidia N.
Sacoor, Charfudin
De Lazzari, Elisa
Aponte, John J.
Macete, Eusébio
Alonso, Pedro L.
Menendez, Clara
Naniche, Denise
HIV Incidence and Spatial Clustering in a Rural Area of Southern Mozambique
title HIV Incidence and Spatial Clustering in a Rural Area of Southern Mozambique
title_full HIV Incidence and Spatial Clustering in a Rural Area of Southern Mozambique
title_fullStr HIV Incidence and Spatial Clustering in a Rural Area of Southern Mozambique
title_full_unstemmed HIV Incidence and Spatial Clustering in a Rural Area of Southern Mozambique
title_short HIV Incidence and Spatial Clustering in a Rural Area of Southern Mozambique
title_sort hiv incidence and spatial clustering in a rural area of southern mozambique
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493140/
https://www.ncbi.nlm.nih.gov/pubmed/26147473
http://dx.doi.org/10.1371/journal.pone.0132053
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