Analysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors

Catherine L. Moyes, Antoinette Wiebe, Katherine Gleave, Anna Trett, Penelope A. Hancock, Germain Gil Padonou, Mouhamadou S. Chouaïbou, Arthur Sovi, Sara A. Abuelmaali, Eric Ochomo, Christophe Antonio-Nkondjio, Dereje Dengela, Hitoshi Kawada, Roch K. Dabire, Martin Donnelly, Charles Mbogo, Christen Fornadel, Michael Coleman

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

The impact of insecticide resistance in malaria vectors is poorly understood and quantified. Here a series of geospatial datasets for insecticide resistance in malaria vectors are provided, so that trends in resistance in time and space can be quantified, and the impact of resistance found in wild populations on malaria transmission in Africa can be assessed. Specifically, data have been collated and geopositioned for the prevalence of insecticide resistance, as measured by standard bioassays, in representative samples of individual species or species complexes. Data are provided for the Anopheles gambiae species complex, the Anopheles funestus subgroup, and for nine individual vector species. Data are also given for common genetic markers of resistance to support analyses of whether these markers can improve the ability to monitor resistance in low resource settings. Allele frequencies for known resistance-associated markers in the Voltage-gated sodium channel (Vgsc) are provided. In total, eight analysis-ready, standardised, geopositioned datasets encompassing over 20,000 African mosquito collections between 1957 and 2017 are released.

Original languageEnglish
Article number121
Pages (from-to)e121
JournalScientific data
Volume6
Issue number1
Early online date15 Jul 2019
DOIs
Publication statusE-pub ahead of print - 15 Jul 2019

Fingerprint

Dive into the research topics of 'Analysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors'. Together they form a unique fingerprint.

Cite this