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Mapping trends in insecticide resistance phenotypes in African malaria vectors

PLoS biology, 2020-06, Vol.18 (6), p.e3000633 [Peer Reviewed Journal]

2020 Hancock et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Hancock et al 2020 Hancock et al ;ISSN: 1545-7885 ;ISSN: 1544-9173 ;EISSN: 1545-7885 ;DOI: 10.1371/journal.pbio.3000633 ;PMID: 32584814

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Title:
Mapping trends in insecticide resistance phenotypes in African malaria vectors
Author: Hancock, Penelope A ; Hendriks, Chantal J M ; Tangena, Julie-Anne ; Gibson, Harry ; Hemingway, Janet ; Coleman, Michael ; Gething, Peter W ; Cameron, Ewan ; Bhatt, Samir ; Moyes, Catherine L
Read, Andrew Fraser
Subjects: Africa ; Agriculture ; Bayesian analysis ; Big Data ; Biology ; Biology and Life Sciences ; DDT - toxicity ; Enzymes ; Epidemiology ; Insecticide resistance ; Insecticide Resistance - drug effects ; Insecticides ; Machine Learning ; Malaria ; Malaria - parasitology ; Mapping ; Mathematical models ; Medicine and Health Sciences ; Mosquito Vectors - drug effects ; Mosquito Vectors - parasitology ; Mosquitoes ; Nitriles - toxicity ; People and Places ; Pesticide resistance ; Pesticides ; Phenotype ; Phenotypes ; Populations ; Prevalence ; Public health ; Pyrethrins - toxicity ; Pyrethroids ; Spatial variations ; Spatio-Temporal Analysis ; Studies ; Time series ; Trends ; Variables ; Vector-borne diseases ; Vectors
Is Part Of: PLoS biology, 2020-06, Vol.18 (6), p.e3000633
Description: Mitigating the threat of insecticide resistance in African malaria vector populations requires comprehensive information about where resistance occurs, to what degree, and how this has changed over time. Estimating these trends is complicated by the sparse, heterogeneous distribution of observations of resistance phenotypes in field populations. We use 6,423 observations of the prevalence of resistance to the most important vector control insecticides to inform a Bayesian geostatistical ensemble modelling approach, generating fine-scale predictive maps of resistance phenotypes in mosquitoes from the Anopheles gambiae complex across Africa. Our models are informed by a suite of 111 predictor variables describing potential drivers of selection for resistance. Our maps show alarming increases in the prevalence of resistance to pyrethroids and DDT across sub-Saharan Africa from 2005 to 2017, with mean mortality following insecticide exposure declining from almost 100% to less than 30% in some areas, as well as substantial spatial variation in resistance trends.
Publisher: United States: Public Library of Science
Language: English
Identifier: ISSN: 1545-7885
ISSN: 1544-9173
EISSN: 1545-7885
DOI: 10.1371/journal.pbio.3000633
PMID: 32584814
Source: PLoS (Open access)
DOAJ Directory of Open Access Journals
Geneva Foundation Free Medical Journals at publisher websites
MEDLINE
PubMed Central
ProQuest Central

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Mapping trends in insecticide resistance phenotypes in African malaria vectors

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