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

Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017
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 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%.
2050-084X
1-49
Bhatt, Samir
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Weiss, Daniel J.
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Mappin, Bonnie
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Dalrymple, Ursula
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Cameron, Ewan
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Bisanzio, Donal
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Smith, David L.
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Moyes, Catherine L.
274a614b-3830-4796-99b2-736758a6611b
Tatem, Andrew J.
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Lynch, Michael
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Fergus, Cristin A.
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Yukich, Joshua
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Bennett, Adam
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Eisele, Thomas P.
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Kolaczinski, Jan
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Cibulskis, Richard E.
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Hay, Simon I.
471d3ae4-a3c1-4d29-93e3-a90d44471b00
Gething, Peter W.
6afb7d8c-8816-4c03-ae73-55951c8b197f
Bhatt, Samir
b29447e1-3caa-4c11-8e5c-5daa0011b9fa
Weiss, Daniel J.
a5b8e0dc-a451-496d-ad27-35944684cdcf
Mappin, Bonnie
9b8ad24c-9277-4409-a169-4ddb73f89c65
Dalrymple, Ursula
f2ae9702-4b9a-4323-ba9d-1c55ea37c3d7
Cameron, Ewan
49f3addf-50ac-49cf-b56e-ccf8979a71f4
Bisanzio, Donal
a6907597-a20c-41f3-8a9f-8e768268195b
Smith, David L.
5c918948-ded2-42d8-82c1-a746a4bc3b6e
Moyes, Catherine L.
274a614b-3830-4796-99b2-736758a6611b
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Lynch, Michael
e602877d-5e74-40dd-92d7-355ffe941d9c
Fergus, Cristin A.
427fc7f4-a12e-40a0-ac3d-8700e49c5b0e
Yukich, Joshua
220c79e8-43f7-4408-a6df-8f013b926e2b
Bennett, Adam
823b13c1-02d2-4c66-8e92-9def10f36b26
Eisele, Thomas P.
8716f0b6-4157-4bdd-abfd-0acb1a090d21
Kolaczinski, Jan
3ae455ff-ff7c-4060-bd39-a120f4007cd0
Cibulskis, Richard E.
194cae33-b460-42f0-9505-855bac04edc7
Hay, Simon I.
471d3ae4-a3c1-4d29-93e3-a90d44471b00
Gething, Peter W.
6afb7d8c-8816-4c03-ae73-55951c8b197f

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. and Gething, Peter W. (2015) Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017. eLife, 4, 1-49. (doi:10.7554/eLife.09672).

Record type: Article

Abstract

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%.

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eLife.09672.full.pdf - Accepted Manuscript
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Accepted/In Press date: 26 November 2015
Published date: 29 December 2015
Organisations: Global Env Change & Earth Observation, WorldPop, Geography & Environment, Population, Health & Wellbeing (PHeW)

Identifiers

Local EPrints ID: 385386
URI: https://eprints.soton.ac.uk/id/eprint/385386
ISSN: 2050-084X
PURE UUID: e4323687-4b9d-4d0d-9697-e273ff0354f7
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

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Date deposited: 19 Jan 2016 14:41
Last modified: 06 Jun 2018 12:28

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Contributors

Author: Samir Bhatt
Author: Daniel J. Weiss
Author: Bonnie Mappin
Author: Ursula Dalrymple
Author: Ewan Cameron
Author: Donal Bisanzio
Author: David L. Smith
Author: Catherine L. Moyes
Author: Andrew J. Tatem ORCID iD
Author: Michael Lynch
Author: Cristin A. Fergus
Author: Joshua Yukich
Author: Adam Bennett
Author: Thomas P. Eisele
Author: Jan Kolaczinski
Author: Richard E. Cibulskis
Author: Simon I. Hay
Author: Peter W. Gething

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