Evidence map›Paper›PMID 36384974›Full record

ArticleParasites & vectors2022

Malaria vector bionomics in Taita-Taveta County, coastal Kenya.

Jonathan Karisa, Kelly Ominde, Simon Muriu, Vanessa Munyao, Kioko Mwikali, Lawrence Babu, Zedekiah Ondieki, Brian Bartilol, Mercy Tuwei, Caroline Wanjiku and 6 more

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 12 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

16 authors at 3 institutions in 2 countries.

Jonathan KarisaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya. kjonathan@kemri-wellcome.org.
Kelly OmindeKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Simon MuriuDepartment of Biological and Public Health, Pwani University, Kilifi, Kenya.
Vanessa MunyaoKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Kioko MwikaliKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Lawrence BabuKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Zedekiah OndiekiKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Brian BartilolKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Mercy TuweiKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Caroline WanjikuKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Marta MaiaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Janet MidegaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Martin RonoKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Norbert PeshuKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Charles MbogoKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Joseph M MwangangiKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Kenya Medical Research Institute · KEPwani University · KEAngkor Hospital for Children · KH

Funding

EPA EP-C-15-003Wellcome Trust
6 · The paper itself

Abstract

backgroundEstimation of the composition and densities of mosquito species populations is crucial for monitoring the epidemiology of mosquito-borne diseases and provide information on local vectors to public health officials and policy-makers. The aim of this study was to evaluate malaria vector bionomics in ecologically distinct sites in Taita-Taveta County, Kenya.

methodsAdult mosquitoes were collected using backpack aspirators and paired indoor/outdoor CDC light traps in 10 randomly selected households in six villages with distinct ecologies over a study period of 3 years. All Anopheles mosquitoes were morphotyped, and sibling species of Anopheles gambiae sensu lato (An. gambiae s.l.) were identified and separated by PCR analysis of extracted ribosomal DNA. All female anophelines were tested for sporozoite infectivity, with engorged females screened for blood-meal sources using the enzyme-linked immunosorbent assay technique. A subsample of those testing positive and those testing negative for Plasmodium in the ELISA were subjected to PCR assay.

resultsA total of eight different Anopheles species were collected both indoors and outdoors. Anopheles gambiae s.l. (82.6%, n = 5252) was the predominant species sensu lato, followed by Anopheles coustani sensu lato (An. coustani s.l.; (10.5%, n = 666) and Anopheles funestus sensu lato (An. funestus s.l.; 5.6%, n = 357). A subset of 683 mosquito samples representing An. gambiae s.l. (n = 580, approx. 11.0%) and An. funestus s.l. (n = 103, approx. 28.9%) were identified by molecular diagnostic assays into sibling species. The An. gambiae s.l. complex was composed of Anopheles arabiensis (62.5%, n = 363/580), An. gambiae sensu stricto (An. gambiae s.s.; 0.7%, n = 4/580), Anopheles merus (0.7%, n = 4/580) and Anopheles quadriannulatus (0.2%, n = 1/580), with the remaining samples (35.5%, n = 206/580) unamplified. Anopheles funestus s.l. was composed of An. rivulorum (14.6%, n = 15/103) and An. leesoni (11.6%, n = 12/103); the remaining samples were unamplified (73.8%, n = 76/103). A total of 981 samples were subjected to PCR analysis for malaria parasite detection; of these 16 (1.6%) were confirmed to be positive for Plasmodium falciparum. The overall human blood index was 0.13 (32/238).

conclusionsAnopheles gambiae, An. funestus and An. coustani are key malaria vectors in the Taveta region of Kenya, showing concurrent indoor and outdoor transmission. All of the vectors tested showed a higher propensity for bovine and goat blood than for human blood.

Indexed as

AnophelesMalariaAnimalsCattleEcologyFemaleGoatsHumansKenyaMosquito VectorsAnophelesBlood mealKenyaMalariaOutdoor transmissionSporozoiteTaveta

Identifiers

PMID36384974
PMCPMC9670438
OpenAlexW4309127687

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.