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Evaluation of a universal coverage bed net distribution campaign in four districts in Sofala Province, Mozambique
BACKGROUND: Malaria is the leading cause of death in Mozambique in children under five years old. In 2009, Mozambique developed a novel bed net distribution model to increase coverage, based on assumptions about sleeping patterns. The coverage and impact of a bed net distribution campaign using this...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232630/ https://www.ncbi.nlm.nih.gov/pubmed/25373784 http://dx.doi.org/10.1186/1475-2875-13-427 |
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author | Plucinski, Mateusz M Chicuecue, Silvia Macete, Eusébio Colborn, James Yoon, Steven S Kachur, S Patrick Aide, Pedro Alonso, Pedro Guinovart, Caterina Morgan, Juliette |
author_facet | Plucinski, Mateusz M Chicuecue, Silvia Macete, Eusébio Colborn, James Yoon, Steven S Kachur, S Patrick Aide, Pedro Alonso, Pedro Guinovart, Caterina Morgan, Juliette |
author_sort | Plucinski, Mateusz M |
collection | PubMed |
description | BACKGROUND: Malaria is the leading cause of death in Mozambique in children under five years old. In 2009, Mozambique developed a novel bed net distribution model to increase coverage, based on assumptions about sleeping patterns. The coverage and impact of a bed net distribution campaign using this model in four districts in Sofala Province, Mozambique was evaluated. METHODS: Paired household, cross-sectional surveys were conducted one month after the 2010 distribution of 140,000 bed nets and again 14 months after the campaign in 2011. During household visits, malaria blood smears were performed and haemoglobin levels were assessed on children under five and data on bed net ownership, access and use were collected; these indicators were analysed at individual, household and community levels. Logistic regression was used to evaluate predictors of malaria infection and anaemia. RESULTS: The campaign reached 98% (95% CI: 97-99%) of households registered during the precampaign listing, with 81% (95% CI: 77-85%) of sleeping spaces covered by campaign bed nets and 85% (95% CI: 81-88%) of the population sleeping in a sleeping space with a campaign bed net designated for the sleeping space. One year after the campaign, 65% (95% CI: 57-72%) of sleeping spaces were observed to have hanging bed nets. The proportion of sleeping spaces for which bed nets were reported used four or more times per week was 65% (95% CI: 56-74%) in the wet season and 60% (95% CI: 52-68%) in the dry season. Malaria parasitaemia prevalence in children under five years old was 47% (95% CI: 40-54%) in 2010 and 36% (95% CI: 27-45%) in 2011. Individual-level malaria infection and anaemia were significantly associated with community-level use of bed nets. CONCLUSIONS: The campaign using the novel distribution model achieved high coverage, although usage was not uniformly high. A significant decrease in malaria parasitaemia prevalence a year after the campaign was not observed, but community-level use of bed nets was significantly associated with a reduced risk for malaria infection and anaemia in children under five. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1475-2875-13-427) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4232630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42326302014-11-16 Evaluation of a universal coverage bed net distribution campaign in four districts in Sofala Province, Mozambique Plucinski, Mateusz M Chicuecue, Silvia Macete, Eusébio Colborn, James Yoon, Steven S Kachur, S Patrick Aide, Pedro Alonso, Pedro Guinovart, Caterina Morgan, Juliette Malar J Research BACKGROUND: Malaria is the leading cause of death in Mozambique in children under five years old. In 2009, Mozambique developed a novel bed net distribution model to increase coverage, based on assumptions about sleeping patterns. The coverage and impact of a bed net distribution campaign using this model in four districts in Sofala Province, Mozambique was evaluated. METHODS: Paired household, cross-sectional surveys were conducted one month after the 2010 distribution of 140,000 bed nets and again 14 months after the campaign in 2011. During household visits, malaria blood smears were performed and haemoglobin levels were assessed on children under five and data on bed net ownership, access and use were collected; these indicators were analysed at individual, household and community levels. Logistic regression was used to evaluate predictors of malaria infection and anaemia. RESULTS: The campaign reached 98% (95% CI: 97-99%) of households registered during the precampaign listing, with 81% (95% CI: 77-85%) of sleeping spaces covered by campaign bed nets and 85% (95% CI: 81-88%) of the population sleeping in a sleeping space with a campaign bed net designated for the sleeping space. One year after the campaign, 65% (95% CI: 57-72%) of sleeping spaces were observed to have hanging bed nets. The proportion of sleeping spaces for which bed nets were reported used four or more times per week was 65% (95% CI: 56-74%) in the wet season and 60% (95% CI: 52-68%) in the dry season. Malaria parasitaemia prevalence in children under five years old was 47% (95% CI: 40-54%) in 2010 and 36% (95% CI: 27-45%) in 2011. Individual-level malaria infection and anaemia were significantly associated with community-level use of bed nets. CONCLUSIONS: The campaign using the novel distribution model achieved high coverage, although usage was not uniformly high. A significant decrease in malaria parasitaemia prevalence a year after the campaign was not observed, but community-level use of bed nets was significantly associated with a reduced risk for malaria infection and anaemia in children under five. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1475-2875-13-427) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-05 /pmc/articles/PMC4232630/ /pubmed/25373784 http://dx.doi.org/10.1186/1475-2875-13-427 Text en © Plucinski et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Plucinski, Mateusz M Chicuecue, Silvia Macete, Eusébio Colborn, James Yoon, Steven S Kachur, S Patrick Aide, Pedro Alonso, Pedro Guinovart, Caterina Morgan, Juliette Evaluation of a universal coverage bed net distribution campaign in four districts in Sofala Province, Mozambique |
title | Evaluation of a universal coverage bed net distribution campaign in four districts in Sofala Province, Mozambique |
title_full | Evaluation of a universal coverage bed net distribution campaign in four districts in Sofala Province, Mozambique |
title_fullStr | Evaluation of a universal coverage bed net distribution campaign in four districts in Sofala Province, Mozambique |
title_full_unstemmed | Evaluation of a universal coverage bed net distribution campaign in four districts in Sofala Province, Mozambique |
title_short | Evaluation of a universal coverage bed net distribution campaign in four districts in Sofala Province, Mozambique |
title_sort | evaluation of a universal coverage bed net distribution campaign in four districts in sofala province, mozambique |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232630/ https://www.ncbi.nlm.nih.gov/pubmed/25373784 http://dx.doi.org/10.1186/1475-2875-13-427 |
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