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Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017

Insecticide-treated nets (ITNs) for malaria control are widespread but coverage remains inadequate. We developed a Bayesian model using data from 102 national surveys, triangulated against delivery data and distribution reports, to generate year-by-year estimates of four ITN coverage indicators. We...

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Autores principales: Bhatt, Samir, Weiss, Daniel J, Mappin, Bonnie, Dalrymple, Ursula, Cameron, Ewan, Bisanzio, Donal, Smith, David L, Moyes, Catherine L, Tatem, Andrew J, Lynch, Michael, Fergus, Cristin A, Yukich, Joshua, Bennett, Adam, Eisele, Thomas P, Kolaczinski, Jan, Cibulskis, Richard E, Hay, Simon I, Gething, Peter W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758960/
https://www.ncbi.nlm.nih.gov/pubmed/26714109
http://dx.doi.org/10.7554/eLife.09672
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author Bhatt, Samir
Weiss, Daniel J
Mappin, Bonnie
Dalrymple, Ursula
Cameron, Ewan
Bisanzio, Donal
Smith, David L
Moyes, Catherine L
Tatem, Andrew J
Lynch, Michael
Fergus, Cristin A
Yukich, Joshua
Bennett, Adam
Eisele, Thomas P
Kolaczinski, Jan
Cibulskis, Richard E
Hay, Simon I
Gething, Peter W
author_facet Bhatt, Samir
Weiss, Daniel J
Mappin, Bonnie
Dalrymple, Ursula
Cameron, Ewan
Bisanzio, Donal
Smith, David L
Moyes, Catherine L
Tatem, Andrew J
Lynch, Michael
Fergus, Cristin A
Yukich, Joshua
Bennett, Adam
Eisele, Thomas P
Kolaczinski, Jan
Cibulskis, Richard E
Hay, Simon I
Gething, Peter W
author_sort Bhatt, Samir
collection PubMed
description Insecticide-treated nets (ITNs) for malaria control are widespread but coverage remains inadequate. We developed a Bayesian model using data from 102 national surveys, triangulated against delivery data and distribution reports, to generate year-by-year estimates of four ITN coverage indicators. We explored the impact of two potential 'inefficiencies': uneven net distribution among households and rapid rates of net loss from households. We estimated that, in 2013, 21% (17%–26%) of ITNs were over-allocated and this has worsened over time as overall net provision has increased. We estimated that rates of ITN loss from households are more rapid than previously thought, with 50% lost after 23 (20–28) months. We predict that the current estimate of 920 million additional ITNs required to achieve universal coverage would in reality yield a lower level of coverage (77% population access). By improving efficiency, however, the 920 million ITNs could yield population access as high as 95%. DOI: http://dx.doi.org/10.7554/eLife.09672.001
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spelling pubmed-47589602016-02-22 Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017 Bhatt, Samir Weiss, Daniel J Mappin, Bonnie Dalrymple, Ursula Cameron, Ewan Bisanzio, Donal Smith, David L Moyes, Catherine L Tatem, Andrew J Lynch, Michael Fergus, Cristin A Yukich, Joshua Bennett, Adam Eisele, Thomas P Kolaczinski, Jan Cibulskis, Richard E Hay, Simon I Gething, Peter W eLife Epidemiology and Global Health Insecticide-treated nets (ITNs) for malaria control are widespread but coverage remains inadequate. We developed a Bayesian model using data from 102 national surveys, triangulated against delivery data and distribution reports, to generate year-by-year estimates of four ITN coverage indicators. We explored the impact of two potential 'inefficiencies': uneven net distribution among households and rapid rates of net loss from households. We estimated that, in 2013, 21% (17%–26%) of ITNs were over-allocated and this has worsened over time as overall net provision has increased. We estimated that rates of ITN loss from households are more rapid than previously thought, with 50% lost after 23 (20–28) months. We predict that the current estimate of 920 million additional ITNs required to achieve universal coverage would in reality yield a lower level of coverage (77% population access). By improving efficiency, however, the 920 million ITNs could yield population access as high as 95%. DOI: http://dx.doi.org/10.7554/eLife.09672.001 eLife Sciences Publications, Ltd 2015-12-29 /pmc/articles/PMC4758960/ /pubmed/26714109 http://dx.doi.org/10.7554/eLife.09672 Text en http://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication (http://creativecommons.org/publicdomain/zero/1.0/) .
spellingShingle Epidemiology and Global Health
Bhatt, Samir
Weiss, Daniel J
Mappin, Bonnie
Dalrymple, Ursula
Cameron, Ewan
Bisanzio, Donal
Smith, David L
Moyes, Catherine L
Tatem, Andrew J
Lynch, Michael
Fergus, Cristin A
Yukich, Joshua
Bennett, Adam
Eisele, Thomas P
Kolaczinski, Jan
Cibulskis, Richard E
Hay, Simon I
Gething, Peter W
Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017
title Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017
title_full Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017
title_fullStr Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017
title_full_unstemmed Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017
title_short Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017
title_sort coverage and system efficiencies of insecticide-treated nets in africa from 2000 to 2017
topic Epidemiology and Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758960/
https://www.ncbi.nlm.nih.gov/pubmed/26714109
http://dx.doi.org/10.7554/eLife.09672
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