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dc.contributor.author O'Meara, WP
dc.contributor.author Smith, N
dc.contributor.author Ekal, E
dc.contributor.author Cole, D
dc.contributor.author Ndege, S
dc.coverage.spatial United States
dc.date.accessioned 2012-10-30T18:53:39Z
dc.date.issued 2011
dc.identifier http://www.ncbi.nlm.nih.gov/pubmed/22022481
dc.identifier PONE-D-11-08192
dc.identifier.citation PLoS One, 2011, 6 (10), pp. e25949 - ?
dc.identifier.uri http://hdl.handle.net/10161/5957
dc.description.abstract 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.
dc.format.extent e25949 - ?
dc.language ENG
dc.relation.ispartof PLoS One
dc.relation.isversionof 10.1371/journal.pone.0025949
dc.subject Cluster Analysis
dc.subject Family Characteristics
dc.subject Female
dc.subject Geography
dc.subject Health Facilities
dc.subject Humans
dc.subject Infant
dc.subject Insecticide-Treated Bednets
dc.subject Kenya
dc.subject Models, Biological
dc.subject Mosquito Control
dc.subject Multivariate Analysis
dc.subject Ownership
dc.subject Pregnancy
dc.subject Public Health
dc.subject Public Sector
dc.subject Regression Analysis
dc.subject Rural Population
dc.title Spatial distribution of bednet coverage under routine distribution through the public health sector in a rural district in Kenya.
dc.type Journal Article
duke.description.issue 10 en_US
duke.description.volume 6 en_US
dc.relation.journal PLoS One en_US
pubs.author-url http://www.ncbi.nlm.nih.gov/pubmed/22022481
pubs.issue 10
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Institutes and Provost's Academic Units
pubs.organisational-group /Duke/Institutes and Provost's Academic Units/University Institutes and Centers
pubs.organisational-group /Duke/Institutes and Provost's Academic Units/University Institutes and Centers/Global Health Institute
pubs.organisational-group /Duke/School of Medicine
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Medicine
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Medicine/Medicine, Infectious Diseases
pubs.publication-status Published
pubs.volume 6
dc.identifier.eissn 1932-6203

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