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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

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  • Media type: E-Article
  • Title: Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017
  • Contributor: 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
  • imprint: eLife Sciences Publications, Ltd, 2015
  • Published in: eLife
  • Language: English
  • DOI: 10.7554/elife.09672
  • ISSN: 2050-084X
  • Keywords: General Immunology and Microbiology ; General Biochemistry, Genetics and Molecular Biology ; General Medicine ; General Neuroscience
  • Origination:
  • Footnote:
  • Description: <jats:p>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%.</jats:p>
  • Access State: Open Access