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

doi:10.1038/s41597-019-0134-2

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

University of Oxford
Centre de recherche entomologique de Cotonou
Centre Suisse de Recherches Scientifiques en Côte d'Ivoire
Université de Parakou
Federal Ministry of Health, Sudan
Kenya Medical Research Institute
Organisation de Coordination pour la lutte contre les Endémies en Afrique Centrale
Abt Global
Nagasaki University
Institut de Recherche en Science de la Sante
Wellcome Trust Research Laboratories Nairobi
United States Agency for International Development

Research output: Contribution to journal › Article › peer-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 language	English
Article number	121
Pages (from-to)	e121
Journal	Scientific data
Volume	6
Issue number	1
Early online date	15 Jul 2019
DOIs	https://doi.org/10.1038/s41597-019-0134-2
Publication status	E-pub ahead of print - 15 Jul 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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S41597-019-0134-2Final published version, 1.97 MBLicence: CC BY

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Moyes, C. L., Wiebe, A., Gleave, K., Trett, A., Hancock, P. A., Padonou, G. G., Chouaïbou, M. S., Sovi, A., Abuelmaali, S. A., Ochomo, E., Antonio-Nkondjio, C., Dengela, D., Kawada, H., Dabire, R. K., Donnelly, M., Mbogo, C., Fornadel, C., & Coleman, M. (2019). Analysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors. Scientific data, 6(1), e121. Article 121. Advance online publication. https://doi.org/10.1038/s41597-019-0134-2

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title = "Analysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors",

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.",

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

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Moyes, CL, Wiebe, A, Gleave, K, Trett, A, Hancock, PA, Padonou, GG, Chouaïbou, MS, Sovi, A, Abuelmaali, SA, Ochomo, E, Antonio-Nkondjio, C, Dengela, D, Kawada, H, Dabire, RK, Donnelly, M, Mbogo, C, Fornadel, C & Coleman, M 2019, 'Analysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors', Scientific data, vol. 6, no. 1, 121, pp. e121. https://doi.org/10.1038/s41597-019-0134-2

TY - JOUR

T1 - Analysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors

AU - Moyes, Catherine L.

AU - Wiebe, Antoinette

AU - Gleave, Katherine

AU - Trett, Anna

AU - Hancock, Penelope A.

AU - Padonou, Germain Gil

AU - Chouaïbou, Mouhamadou S.

AU - Sovi, Arthur

AU - Abuelmaali, Sara A.

AU - Ochomo, Eric

AU - Antonio-Nkondjio, Christophe

AU - Dengela, Dereje

AU - Kawada, Hitoshi

AU - Dabire, Roch K.

AU - Donnelly, Martin

AU - Mbogo, Charles

AU - Fornadel, Christen

AU - Coleman, Michael

PY - 2019/7/15

Y1 - 2019/7/15

N2 - 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.

AB - 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.

U2 - 10.1038/s41597-019-0134-2

DO - 10.1038/s41597-019-0134-2

M3 - Article

SN - 2052-4463

VL - 6

SP - e121

JO - Scientific data

JF - Scientific data

IS - 1

M1 - 121

ER -

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

Abstract

UN SDGs

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