TY - JOUR TI - Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017 AU - Bhatt, Samir AU - Weiss, Daniel J AU - Mappin, Bonnie AU - Dalrymple, Ursula AU - Cameron, Ewan AU - Bisanzio, Donal AU - Smith, David L AU - Moyes, Catherine L AU - Tatem, Andrew J AU - Lynch, Michael AU - Fergus, Cristin A AU - Yukich, Joshua AU - Bennett, Adam AU - Eisele, Thomas P AU - Kolaczinski, Jan AU - Cibulskis, Richard E AU - Hay, Simon I AU - Gething, Peter W A2 - Kyobutungi, Catherine VL - 4 PY - 2015 DA - 2015/12/29 SP - e09672 C1 - eLife 2015;4:e09672 DO - 10.7554/eLife.09672 UR - https://doi.org/10.7554/eLife.09672 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%. KW - ITN KW - LLIN KW - Bayesian compatment model KW - Malaria JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -