Evidence map›Paper›PMID 32097407›Full record

ArticlePloS one2020

Resting behaviour of malaria vectors in highland and lowland sites of western Kenya: Implication on malaria vector control measures.

Maxwell G Machani, Eric Ochomo, Fred Amimo, Jackline Kosgei, Stephen Munga, Guofa Zhou, Andrew K Githeko, Guiyun Yan, Yaw A Afrane

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 72 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Maxwell G MachaniEntomology Section, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Eric OchomoEntomology Section, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Fred AmimoSchool of Health Sciences, Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya.
Jackline KosgeiEntomology Section, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Stephen MungaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Guofa ZhouProgram in Public Health, College of Health Sciences, University of California, Irvine, California, United States of America.
Andrew K GithekoCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Guiyun YanProgram in Public Health, College of Health Sciences, University of California, Irvine, California, United States of America.
Yaw A AfraneDepartment of Medical Microbiology, University of Ghana Medical School, University of Ghana, Accra, Ghana.
Kenya Medical Research Institute · KEUniversity of California, Irvine · USJaramogi Oginga Odinga University of Science and Technology · KEUniversity of Ghana · GH

Funding

Vector Biology of Invasive Anopheles stephensi in Rural to Urban Landscapes in EthiopiaU19AI129326 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2017 to 2026
$19.9M
Ecology of African Highland MalariaR01AI050243 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI YAN, GUIYUN · 2001 to 2018
$8.8M
Research Training in Mosquito Genomics and Bioinformat*D43TW001505 · FIC · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2000 to 2026
$6.0M
Impact of insecticide resistance on the behavior and fitness of malaria vectorsR01AI123074 · NIAID · UNIVERSITY OF GHANA · PI YAW ASARE AFRANE · 2016 to 2026
$1.2M
FIC NIH HHS D43 TW001505NIAID NIH HHS R01 AI050243NIAID NIH HHS R01 AI123074NIAID NIH HHS U19 AI129326
6 · The paper itself

Abstract

backgroundUnderstanding the interactions between increased insecticide resistance and resting behaviour patterns of malaria mosquitoes is important for planning of adequate vector control. This study was designed to investigate the resting behavior, host preference and rates of Plasmodium falciparum infection in relation to insecticide resistance of malaria vectors in different ecologies of western Kenya.

methodsAnopheles mosquito collections were carried out during the dry and rainy seasons in Kisian (lowland site) and Bungoma (highland site), both in western Kenya using pyrethrum spray catches (PSC), mechanical aspiration (Prokopack) for indoor collections, clay pots, pit shelter and Prokopack for outdoor collections. WHO tube bioassay was used to determine levels of phenotypic resistance of indoor and outdoor collected mosquitoes to deltamethrin. PCR-based molecular diagnostics were used for mosquito speciation, genotype for knockdown resistance mutations (1014S and 1014F) and to determine specific host blood meal origins. Enzyme-linked Immunosorbent Assay (ELISA) was used to determine mosquito sporozoite infections.

resultsAnopheles gambiae s.l. was the most predominant species (75%, n = 2706) followed by An. funestus s.l. (25%, n = 860). An. gambiae s.s hereafter (An. gambiae) accounted for 91% (95% CI: 89-93) and An. arabiensis 8% (95% CI: 6-9) in Bungoma, while in Kisian, An. arabiensis composition was 60% (95% CI: 55-66) and An. gambiae 39% (95% CI: 34-44). The resting densities of An. gambiae s.l and An. funestus were higher indoors than outdoor in both sites (An. gambiae s.l; F1, 655 = 41.928, p < 0.0001, An. funestus; F1, 655 = 36.555, p < 0.0001). The mortality rate for indoor and outdoor resting An. gambiae s.l F1 progeny was 37% (95% CI: 34-39) vs 67% (95% CI: 62-69) respectively in Bungoma. In Kisian, the mortality rate was 67% (95% CI: 61-73) vs 76% (95% CI: 71-80) respectively. The mortality rate for F1 progeny of An. funestus resting indoors in Bungoma was 32% (95% CI: 28-35). The 1014S mutation was only detected in indoor resitng An. arabiensis. Similarly, the 1014F mutation was present only in indoor resting An. gambiae. The sporozoite rates were highest in An. funestus followed by An. gambiae, and An. arabiensis resting indoors at 11% (34/311), 8% (47/618) and 4% (1/27) respectively in Bungoma. Overall, in Bungoma, the sporozoite rate for indoor resting mosquitoes was 9% (82/956) and 4% (8/190) for outdoors. In Kisian, the sporozoite rate was 1% (1/112) for indoor resting An. gambiae. None of the outdoor collected mosquitoes in Kisian tested positive for sporozoite infections (n = 73).

conclusionThe study reports high indoor resting densities of An. gambiae and An. funestus, insecticide resistance, and persistence of malaria transmission indoors regardless of the use of long-lasting insecticidal nets (LLINs). These findings underline the difficulties of controlling malaria vectors resting and biting indoors using the current interventions. Supplemental vector control tools and implementation of sustainable insecticide resistance management strategies are needed in western Kenya.

Indexed as

AnimalsAnophelesEnzyme-Linked Immunosorbent AssayFeeding BehaviorFemaleGenotypeHost-Seeking BehaviorInsecticide ResistanceInsecticidesInsecticide-Treated BednetsKenyaMalaria, FalciparumMosquito ControlMosquito VectorsNitrilesPlasmodium falciparumdecamethrinInsecticidesNitrilesPyrethrins

Identifiers

PMID32097407
PMCPMC7041793
OpenAlexW3006943810

What OpenQuestion holds

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Registered trials

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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.