Evidence map›Paper›PMID 29784773›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Associated patterns of insecticide resistance in field populations of malaria vectors across Africa.

Penelope A Hancock, Antoinette Wiebe, Katherine A Gleave, Samir Bhatt, Ewan Cameron, Anna Trett, David Weetman, David L Smith, Janet Hemingway, Michael Coleman and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
10.6field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  12. The buzz in the field: the interaction between viruses, mosquitoes, and metabolism.Frontiers in cellular and infection microbiology · 2023
    Review
  13. Article
  14. Diurnal biting of malaria mosquitoes in the Central African Republic indicates residual transmission may be "out of control".Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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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

12 authors at 4 institutions in 2 countries.

Penelope A HancockBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, OX3 7LF Oxford, United Kingdom; hancock.penelope@gmail.com janet.hemingway@lstmed.ac.uk catherinemoyes@gmail.com.
Antoinette WiebeBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, OX3 7LF Oxford, United Kingdom.
Katherine A GleaveDepartment of Vector Biology, Liverpool School of Tropical Medicine, L3 5QA Liverpool, United Kingdom.
Samir BhattDepartment of Infectious Disease Epidemiology, St Mary's Hospital, Imperial College, W2 1NY London, United Kingdom.
Ewan CameronBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, OX3 7LF Oxford, United Kingdom.
Anna TrettDepartment of Vector Biology, Liverpool School of Tropical Medicine, L3 5QA Liverpool, United Kingdom.
David WeetmanDepartment of Vector Biology, Liverpool School of Tropical Medicine, L3 5QA Liverpool, United Kingdom.
David L SmithInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98121.
Janet HemingwayDepartment of Vector Biology, Liverpool School of Tropical Medicine, L3 5QA Liverpool, United Kingdom; hancock.penelope@gmail.com janet.hemingway@lstmed.ac.uk catherinemoyes@gmail.com.
Michael ColemanDepartment of Vector Biology, Liverpool School of Tropical Medicine, L3 5QA Liverpool, United Kingdom.
Peter W GethingBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, OX3 7LF Oxford, United Kingdom.
Catherine L MoyesBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, OX3 7LF Oxford, United Kingdom; hancock.penelope@gmail.com janet.hemingway@lstmed.ac.uk catherinemoyes@gmail.com.
Liverpool School of Tropical Medicine · GBUniversity of Oxford · GBInstitute for Health Metrics and Evaluation · USSt Mary's Hospital · GB

Funding

Genome-based diagnostics for monitoring and evaluation of insecticide resistance in Anopheles gambiaeR01AI116811 · NIAID · TMLIVERPOOL SCHOOL OF TROPICAL MEDICINE · PI Martin James Donnelly · 2016 to 2026
$4.6M
Medical Research Council MR/R015600/1NIAID NIH HHS R01 AI116811Wellcome TrustWellcome Trust 108440/Z/15/Z
6 · The paper itself

Abstract

The development of insecticide resistance in African malaria vectors threatens the continued efficacy of important vector control methods that rely on a limited set of insecticides. To understand the operational significance of resistance we require quantitative information about levels of resistance in field populations to the suite of vector control insecticides. Estimation of resistance is complicated by the sparsity of observations in field populations, variation in resistance over time and space at local and regional scales, and cross-resistance between different insecticide types. Using observations of the prevalence of resistance in mosquito species from the

Indexed as

MalariaAnimalsCulicidaeDDTGenes, InsectInsecticide ResistanceInsecticidesModels, StatisticalMosquito VectorsNitrilesPermethrinPyrethrinsDDTdecamethrinInsecticidesNitrilesPermethrinPyrethrinscross-resistancedeltamethrininsecticide resistance geneskdrpermethrin

Identifiers

PMID29784773
PMCPMC6003363
OpenAlexW2804966026

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.