Publications
1.
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 Journal Article
In: eLife, vol. 4, pp. e09672, 2015, ISSN: 2050-084X.
Abstract | Links | BibTeX | Tags: Bayesian compartment model, ITN, LLIN, malaria
@article{10.7554/eLife.09672,
title = {Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017},
author = {Samir Bhatt and Daniel J Weiss and Bonnie Mappin and Ursula Dalrymple and Ewan Cameron and Donal Bisanzio and David L Smith and Catherine L Moyes and Andrew J Tatem and Michael Lynch and Cristin A Fergus and Joshua Yukich and Adam Bennett and Thomas P Eisele and Jan Kolaczinski and Richard E Cibulskis and Simon I Hay and Peter W Gething},
editor = {Catherine Kyobutungi},
url = {https://doi.org/10.7554/eLife.09672},
doi = {10.7554/eLife.09672},
issn = {2050-084X},
year = {2015},
date = {2015-12-01},
urldate = {2015-12-01},
journal = {eLife},
volume = {4},
pages = {e09672},
publisher = {eLife Sciences Publications, Ltd},
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 ínefficiencies': 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%.},
keywords = {Bayesian compartment model, ITN, LLIN, malaria},
pubstate = {published},
tppubtype = {article}
}
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 ínefficiencies': 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%.
