BibTex format
@article{Bhatt:2015:10.7554/eLife.09672,
author = {Bhatt, S and Weiss, DJ and Mappin, B and Dalrymple, U and Cameron, E and Bisanzio, D and Smith, DL and Moyes, CL and Tatem, AJ and Lynch, M and Fergus, CA and Yukich, J and Bennett, A and Eisele, TP and Kolaczinski, J and Cibulskis, RE and Hay, SI and Gething, PW},
doi = {10.7554/eLife.09672},
journal = {eLife},
title = {Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017.},
url = {http://dx.doi.org/10.7554/eLife.09672},
volume = {4},
year = {2015}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - 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%.
AU - Bhatt,S
AU - Weiss,DJ
AU - Mappin,B
AU - Dalrymple,U
AU - Cameron,E
AU - Bisanzio,D
AU - Smith,DL
AU - Moyes,CL
AU - Tatem,AJ
AU - Lynch,M
AU - Fergus,CA
AU - Yukich,J
AU - Bennett,A
AU - Eisele,TP
AU - Kolaczinski,J
AU - Cibulskis,RE
AU - Hay,SI
AU - Gething,PW
DO - 10.7554/eLife.09672
PY - 2015///
SN - 2050-084X
TI - Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017.
T2 - eLife
UR - http://dx.doi.org/10.7554/eLife.09672
UR - http://www.ncbi.nlm.nih.gov/pubmed/26714109
VL - 4
ER -