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Spatial Distribution of Bednet Coverage under Routine Distribution through the Public Health Sector in a Rural District in Kenya

Insecticide-treated nets (ITNs) are one of the most important and cost-effective tools for malaria control. Maximizing individual and community benefit from ITNs requires high population-based coverage. Several mechanisms are used to distribute ITNs, including health facility-based targeted distribu...

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Autores principales: Prudhomme O'Meara, Wendy, Smith, Nathan, Ekal, Emmanuel, Cole, Donald, Ndege, Samson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3192112/
https://www.ncbi.nlm.nih.gov/pubmed/22022481
http://dx.doi.org/10.1371/journal.pone.0025949
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author Prudhomme O'Meara, Wendy
Smith, Nathan
Ekal, Emmanuel
Cole, Donald
Ndege, Samson
author_facet Prudhomme O'Meara, Wendy
Smith, Nathan
Ekal, Emmanuel
Cole, Donald
Ndege, Samson
author_sort Prudhomme O'Meara, Wendy
collection PubMed
description Insecticide-treated nets (ITNs) are one of the most important and cost-effective tools for malaria control. Maximizing individual and community benefit from ITNs requires high population-based coverage. Several mechanisms are used to distribute ITNs, including health facility-based targeted distribution to high-risk groups; community-based mass distribution; social marketing with or without private sector subsidies; and integrating ITN delivery with other public health interventions. The objective of this analysis is to describe bednet coverage in a district in western Kenya where the primary mechanism for distribution is to pregnant women and infants who attend antenatal and immunization clinics. We use data from a population-based census to examine the extent of, and factors correlated with, ownership of bednets. We use both multivariable logistic regression and spatial techniques to explore the relationship between household bednet ownership and sociodemographic and geographic variables. We show that only 21% of households own any bednets, far lower than the national average, and that ownership is not significantly higher amongst pregnant women attending antenatal clinic. We also show that coverage is spatially heterogeneous with less than 2% of the population residing in zones with adequate coverage to experience indirect effects of ITN protection.
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spelling pubmed-31921122011-10-21 Spatial Distribution of Bednet Coverage under Routine Distribution through the Public Health Sector in a Rural District in Kenya Prudhomme O'Meara, Wendy Smith, Nathan Ekal, Emmanuel Cole, Donald Ndege, Samson PLoS One Research Article Insecticide-treated nets (ITNs) are one of the most important and cost-effective tools for malaria control. Maximizing individual and community benefit from ITNs requires high population-based coverage. Several mechanisms are used to distribute ITNs, including health facility-based targeted distribution to high-risk groups; community-based mass distribution; social marketing with or without private sector subsidies; and integrating ITN delivery with other public health interventions. The objective of this analysis is to describe bednet coverage in a district in western Kenya where the primary mechanism for distribution is to pregnant women and infants who attend antenatal and immunization clinics. We use data from a population-based census to examine the extent of, and factors correlated with, ownership of bednets. We use both multivariable logistic regression and spatial techniques to explore the relationship between household bednet ownership and sociodemographic and geographic variables. We show that only 21% of households own any bednets, far lower than the national average, and that ownership is not significantly higher amongst pregnant women attending antenatal clinic. We also show that coverage is spatially heterogeneous with less than 2% of the population residing in zones with adequate coverage to experience indirect effects of ITN protection. Public Library of Science 2011-10-12 /pmc/articles/PMC3192112/ /pubmed/22022481 http://dx.doi.org/10.1371/journal.pone.0025949 Text en Prudhomme O'Meara 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
Prudhomme O'Meara, Wendy
Smith, Nathan
Ekal, Emmanuel
Cole, Donald
Ndege, Samson
Spatial Distribution of Bednet Coverage under Routine Distribution through the Public Health Sector in a Rural District in Kenya
title Spatial Distribution of Bednet Coverage under Routine Distribution through the Public Health Sector in a Rural District in Kenya
title_full Spatial Distribution of Bednet Coverage under Routine Distribution through the Public Health Sector in a Rural District in Kenya
title_fullStr Spatial Distribution of Bednet Coverage under Routine Distribution through the Public Health Sector in a Rural District in Kenya
title_full_unstemmed Spatial Distribution of Bednet Coverage under Routine Distribution through the Public Health Sector in a Rural District in Kenya
title_short Spatial Distribution of Bednet Coverage under Routine Distribution through the Public Health Sector in a Rural District in Kenya
title_sort spatial distribution of bednet coverage under routine distribution through the public health sector in a rural district in kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3192112/
https://www.ncbi.nlm.nih.gov/pubmed/22022481
http://dx.doi.org/10.1371/journal.pone.0025949
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