title: Developing global maps of insecticide resistance risk to improve vector control.
abstract: Significant reductions in malaria transmission have been achieved over the last 15 years with elimination occurring in a small number of countries, however, increasing drug and insecticide resistance threatens these gains. Insecticide resistance has decreased the observed mortality to the most commonly used insecticide class, the pyrethroids, and the number of alternative classes approved for use in public health is limited. Disease prevention and elimination relies on operational control of Anopheles malaria vectors, which requires the deployment of effective insecticides. Resistance is a rapidly evolving phenomena and the resources and human capacity to continuously monitor vast numbers of mosquito populations in numerous locations simultaneously are not available.
  
  
  
  Resistance data are obtained from published articles, by contacting authors and custodians of unpublished data sets. Where possible data is disaggregated to single sites and collection periods to give a fine spatial resolution.
  
  
  
  Currently the data set includes data from 1955 to October 2016 from 71 malaria endemic countries and 74 anopheline species. This includes data for all four classes of insecticides and associated resistance mechanisms.
  
  
  
  Resistance is a rapidly evolving phenomena and the resources and human capacity to continuously monitor vast numbers of mosquito populations in numerous locations simultaneously are not available. The Malaria Atlas Project-Insecticide Resistance (MAP-IR) venture has been established to develop tools that will use available data to provide best estimates of the spatial distribution of insecticide resistance and help guide control programmes on this serious issue.
authors.affiliation: Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. michael.coleman@lstmed.ac.uk.
authors.forename: Michael
authors.identifier: 0000-0003-4186-3526
authors.initials: M
authors.lastname: Coleman
authors.affiliation: Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
authors.forename: Janet
authors.initials: J
authors.lastname: Hemingway
authors.affiliation: Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
authors.forename: Katherine Ann
authors.initials: KA
authors.lastname: Gleave
authors.affiliation: Malaria Atlas Project, Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7BN, UK.
authors.forename: Antoinette
authors.initials: A
authors.lastname: Wiebe
authors.affiliation: Malaria Atlas Project, Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7BN, UK.
authors.forename: Peter W
authors.initials: PW
authors.lastname: Gething
authors.affiliation: Malaria Atlas Project, Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7BN, UK. catherinemoyes@gmail.com.
authors.forename: Catherine L
authors.initials: CL
authors.lastname: Moyes
mesh_terms: D000818:Animals; D000852:Anopheles / Q000187:drug effects*; D007305:Insecticide Resistance; D009032:Mosquito Control / Q000379:methods; D058974:Phylogeography
keywords: Anopheles; Insecticide resistance; Malaria; Map