Evidence map›Paper›PMID 29110724›Full record

ArticleParasites & vectors2017

Quantifying the intensity of permethrin insecticide resistance in Anopheles mosquitoes in western Kenya.

Seline Omondi, Wolfgang Richard Mukabana, Eric Ochomo, Margaret Muchoki, Brigid Kemei, Charles Mbogo, Nabie Bayoh

Abstract read
In one paragraph

Article in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Seline OmondiSchool of Biological Sciences, University of Nairobi, P.O Box 30197-00100, Nairobi, Kenya. selineomondi20@gmail.com.
Wolfgang Richard MukabanaSchool of Biological Sciences, University of Nairobi, P.O Box 30197-00100, Nairobi, Kenya.
Eric OchomoKenya Medical Research Institute (KEMRI), P.O Box 1578-40100, Kisumu, Kenya.
Margaret MuchokiKenya Medical Research Institute (KEMRI), P.O Box 1578-40100, Kisumu, Kenya.
Brigid KemeiKenya Medical Research Institute (KEMRI), P.O Box 1578-40100, Kisumu, Kenya.
Charles MbogoKEMRI-Centre for Geographic Medicine Research-Coast, P.O Box 230-80108, Kilifi, Kenya.
Nabie BayohUS Centers for Disease Control and Prevention-Kenya, P.O Box 1578-40100, Kisumu, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe development and spread of resistance among local vectors to the major classes of insecticides used in Long-Lasting Insecticidal Nets (LLINs) and Indoor Residual Spraying (IRS) poses a major challenge to malaria vector control programs worldwide. The main methods of evaluating insecticide resistance in malaria vectors are the WHO tube bioassay and CDC bottle assays, with their weakness being determination of resistance at a fixed dose for variable populations. The CDC bottle assay using different insecticide dosages has proved applicable in ascertaining the intensity of resistance.

methodsWe determined the status and intensity of permethrin resistance and investigated the efficacy of commonly used LLINs (PermaNet® 2.0, PermaNet® 3.0 and Olyset®) against 3-5 day-old adult female Anopheles mosquitoes from four sub-counties; Teso, Bondo, Rachuonyo and Nyando in western Kenya. Knockdown was assessed to 4 doses of permethrin; 1× (21.5 μg/ml), 2× (43 μg/ml), 5× (107.5 μg/ml) and 10× (215 μg/ml) using CDC bottle assays.

resultsMortality for 0.75% permethrin ranged from 23.5% to 96.1% in the WHO tube assay. Intensity of permethrin resistance was highest in Barkanyango Bondo, with 84% knockdown at the 30 min diagnostic time when exposed to the 10× dose. When exposed to the LLINs, mortality ranged between- 0-39% for Olyset®, 12-88% for PermaNet® 2.0 and 26-89% for PermaNet® 3.0. The efficacy of nets was reduced in Bondo and Teso. Results from this study show that there was confirmed resistance in all the sites; however, intensity assays were able to differentiate Bondo and Teso as the sites with the highest levels of resistance, which coincidentally were the two sub-counties with reduced net efficacy.

conclusionsThere was a reduced efficacy of nets in areas with high resistance portraying that at certain intensities of resistance, vector control using LLINs may be compromised. It is necessary to incorporate intensity assays in order to determine the extent of threat that resistance poses to malaria control.

Indexed as

Insecticide ResistanceAnimalsAnophelesBiological AssayFemaleHumansInsecticidesInsecticide-Treated BednetsKenyaMalariaMosquito ControlMosquito VectorsPermethrinInsecticidesPermethrinAnopheles gambiaeInsecticide resistanceIntensityPermethrin

Identifiers

PMID29110724
PMCPMC5674850

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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.