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

Overview of attention for article published in PLOS ONE, October 2011
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Title
Spatial Distribution of Bednet Coverage under Routine Distribution through the Public Health Sector in a Rural District in Kenya
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0025949
Pubmed ID
Authors

Wendy Prudhomme O'Meara, Nathan Smith, Emmanuel Ekal, Donald Cole, Samson Ndege

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.

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Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Turkey 1 <1%
Kenya 1 <1%
Brazil 1 <1%
Unknown 127 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 27%
Researcher 20 15%
Student > Doctoral Student 14 11%
Student > Ph. D. Student 13 10%
Student > Bachelor 10 8%
Other 19 14%
Unknown 20 15%
Readers by discipline Count As %
Medicine and Dentistry 33 25%
Social Sciences 22 17%
Nursing and Health Professions 17 13%
Agricultural and Biological Sciences 7 5%
Environmental Science 5 4%
Other 23 17%
Unknown 25 19%