Evidence map›Paper›PMID 35164747›Full record

ArticleBMC biology2022

Modelling spatiotemporal trends in the frequency of genetic mutations conferring insecticide target-site resistance in African mosquito malaria vector species.

Penelope A Hancock, Amy Lynd, Antoinette Wiebe, Maria Devine, John Essandoh, Francis Wat'senga, Emile Z Manzambi, Fiacre Agossa, Martin J Donnelly, David Weetman and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.8field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  7. Populations of the Australian Saltmarsh MosquitoEvolutionary applications · 2025
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  9. Discovery of knock-down resistance in the major African malaria vectorbioRxiv : the preprint server for biology · 2024
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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

11 authors at 5 institutions in 3 countries.

Penelope A HancockBig Data Institute, University of Oxford, Oxford, OX3 7LF, UK. p.hancock@imperial.ac.uk.
Amy LyndDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, L35QA, UK.
Antoinette WiebeBig Data Institute, University of Oxford, Oxford, OX3 7LF, UK.
Maria DevineBig Data Institute, University of Oxford, Oxford, OX3 7LF, UK.
John EssandohDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, L35QA, UK.
Francis Wat'sengaInstitut National de Recherche Biomédicale, PO Box 1192, Kinshasa, Democratic Republic of Congo.
Emile Z ManzambiInstitut National de Recherche Biomédicale, PO Box 1192, Kinshasa, Democratic Republic of Congo.
Fiacre AgossaUSAID President's Malaria Initiative, VectorLink Project, Abt Associates, 6130 Executive Blvd 16, Rockville, MD, 20852, USA.
Martin J DonnellyDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, L35QA, UK.
David WeetmanDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, L35QA, UK.
Catherine L MoyesBig Data Institute, University of Oxford, Oxford, OX3 7LF, UK.
Liverpool School of Tropical Medicine · GBUniversity of Oxford · GBNational Institute of Biomedical Research · CDAbt Global (United States) · USOpen Data Institute · 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
NIAID NIH HHS R01 AI116811
6 · The paper itself

Abstract

backgroundResistance in malaria vectors to pyrethroids, the most widely used class of insecticides for malaria vector control, threatens the continued efficacy of vector control tools. Target-site resistance is an important genetic resistance mechanism caused by mutations in the voltage-gated sodium channel (Vgsc) gene that encodes the pyrethroid target-site. Understanding the geographic distribution of target-site resistance, and temporal trends across different vector species, can inform strategic deployment of vector control tools.

resultsWe develop a Bayesian statistical spatiotemporal model to interpret species-specific trends in the frequency of the most common resistance mutations, Vgsc-995S and Vgsc-995F, in three major malaria vector species Anopheles gambiae, An. coluzzii, and An. arabiensis over the period 2005-2017. The models are informed by 2418 observations of the frequency of each mutation in field sampled mosquitoes collected from 27 countries spanning western and eastern regions of Africa. For nine selected countries, we develop annual predictive maps which reveal geographically structured patterns of spread of each mutation at regional and continental scales. The results show associations, as well as stark differences, in spread dynamics of the two mutations across the three vector species. The coverage of ITNs was an influential predictor of Vgsc allele frequencies, with modelled relationships between ITN coverage and allele frequencies varying across species and geographic regions. We found that our mapped Vgsc allele frequencies are a significant partial predictor of phenotypic resistance to the pyrethroid deltamethrin in An. gambiae complex populations.

conclusionsOur predictive maps show how spatiotemporal trends in insecticide target-site resistance mechanisms in African An. gambiae vary across individual vector species and geographic regions. Molecular surveillance of resistance mechanisms will help to predict resistance phenotypes and track their spread.

Indexed as

AnophelesInsecticidesMalariaAnimalsBayes TheoremInsecticide ResistanceMosquito VectorsMutationInsecticidesAnophelesGenetic resistance markersGeostatistical modelInsecticide target-site resistanceMalaria vector controlMapping resistanceMultinomial modelResistance surveillancespatiotemporal model

Identifiers

PMID35164747
PMCPMC8845222
OpenAlexW4213120023

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.