Evidence map›Paper›PMID 31308378›Full record

ArticleScientific data2019

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 and 8 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
7.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Review
  3. High Frequencies ofPathogens (Basel, Switzerland) · 2024
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  6. Characterizing the Vector Data Ecosystem.Journal of medical entomology · 2023
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  9. Review
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  11. Article
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  14. Review
  15. Evaluating insecticide resistance across African districts to aid malaria control decisions.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 11 institutions in 9 countries.

Catherine L MoyesBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX1 7LF, UK. catherinemoyes@gmail.com.ORCID http://orcid.org/0000-0002-8028-4079
Antoinette WiebeBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX1 7LF, UK.
Katherine GleaveDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool L1, UK.
Anna TrettDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool L1, UK.
Penelope A HancockBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX1 7LF, UK.
Germain Gil PadonouCentre de Recherche Entomologique de Cotonou (CREC), 06BP2604, Cotonou, Benin.
Mouhamadou S ChouaïbouCentre Suisse de Recherches Scientifiques en Côte d'Ivoire, 01BP1303, Abj 01, Abidjan, Côte d'Ivoire.
Arthur SoviCentre de Recherche Entomologique de Cotonou (CREC), 06BP2604, Cotonou, Benin.
Sara A AbuelmaaliDepartment of Medical Entomology, National Public Health Laboratory, Federal Ministry of Health, Khartoum, Sudan.
Eric OchomoKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.ORCID http://orcid.org/0000-0002-4042-4970
Christophe Antonio-NkondjioLaboratoire de Recherche sur le Paludisme, Organisation de Coordination pour la lutte Contre les Endémies en Afrique Centrale (OCEAC), P.O. Box 288, Yaoundé, Cameroon.
Dereje DengelaU.S. PMI VectorLink Project, Abt Associates, 6130 Executive Boulevard, Rockville, MD, 20852, USA.
Hitoshi KawadaDepartment of Vector Ecology and Environment, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
Roch K DabireDepartment of Medical Biology and Public Health, Institut de Recherche en Science de la Santé, Bobo-Dioulasso, Burkina Faso.
Martin J DonnellyDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool L1, UK.
Charles MbogoKEMRI Centre for Geographic Medicine Research-Coast, P.O Box 230-80108, Kilifi, Kenya.
Christen FornadelUS President's Malaria Initiative, US Agency for International Development, Washington, DC, USA.
Michael ColemanDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool L1, UK.ORCID http://orcid.org/0000-0003-4186-3526
Liverpool School of Tropical Medicine · GBUniversity of Oxford · GBKenya Medical Research Institute · KEFederal Ministry of Health · SDInstitut de Recherche en Sciences de la Santé · BFNagasaki University · JPOrganisation de Coordination pour la lutte contre les Endémies en Afrique Centrale · CMSwiss Centre for Scientific Research · CIUniversité de Parakou · BJU.S. President's Malaria Initiative · USVector (United States) · US

Funding

Wellcome TrustWellcome Trust (Wellcome) 108440/Z/15/Z
6 · The paper itself

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.

Indexed as

AfricaAnimalsAnophelesGenetic MarkersGenotypeGeographyInsecticide ResistanceInsecticidesMalariaMosquito VectorsPhenotypeGenetic MarkersInsecticides

Identifiers

PMID31308378
PMCPMC6629700
OpenAlexW2958318105

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.