Evidence map›Paper›PMID 32375902›Full record

ArticleParasites & vectors2020

Biting rates and relative abundance of Simulium flies under different climatic conditions in an onchocerciasis endemic community in Ghana.

Kenneth Bentum Otabil, Samuel Fosu Gyasi, Esi Awuah, Daniels Obeng-Ofori, Seth Boateng Tenkorang, Justice Amenyo Kessie, Henk D F H Schallig

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.1field-weighted citation impact, top 42% 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

9 citing papers in PubMed, 15 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

7 authors at 6 institutions in 2 countries.

Kenneth Bentum OtabilDepartment of Basic and Applied Biology, School of Sciences, University of Energy and Natural Resources, Sunyani, BA, Ghana. k.b.otabil@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-2758-0805
Samuel Fosu GyasiDepartment of Basic and Applied Biology, School of Sciences, University of Energy and Natural Resources, Sunyani, BA, Ghana.
Esi AwuahDepartment of Civil Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, AR, Ghana.
Daniels Obeng-OforiOffice of the Vice Chancellor, Catholic University College of Ghana, Sunyani, BA, Ghana.
Seth Boateng TenkorangFaculty of Health and Allied Sciences, Koforidua Technical University, Koforidua, ER, Ghana.
Justice Amenyo KessieDepartment of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, BA, Ghana.
Henk D F H SchalligExperimental Parasitology Unit, Department of Medical Microbiology, Academic Medical Centre, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
University of Energy and Natural Resources · GHAmsterdam UMC Location University of Amsterdam · NLAmsterdam University Medical Centers · NLCatholic University College of Ghana · GHKoforidua Technical University · GHKwame Nkrumah University of Science and Technology · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of the relative abundance and biting rates of riverine blackflies (vectors of onchocerciasis) is essential as these entomological indices affect transmission of the disease. However, transmission patterns vary from one ecological zone to another and this may be due to differences in species of blackfly vectors and the climatic conditions in the area. This study investigated the effects of climate variability on the relative abundance and biting rates of blackflies in the Tanfiano community (Nkoranza North District, Bono East Region, Ghana). Such information will help to direct policy on effective timing of the annual mass drug administration of ivermectin in the area.

methodsThe study employed human landing collections and locally built Esperanza window traps to collect blackflies from March 2018 to February 2019. The relative abundance and biting rates of the Simulium vectors as well as the monthly climatic conditions of the study area were monitored. Correlation analysis and Poisson regression were used to establish the relationships between the variables.

resultsThe relative abundance and biting rates of the Simulium vectors were highest in the drier months of March, April and August, characterized by high temperatures, low humidity, longer hours of sunshine and stronger winds. The rainy months of May, June and July, characterized by low temperatures, high humidity, few hours of sunshine and weaker winds, had relatively low blackfly abundance and biting activity. Correlation analysis showed that only temperature was significantly, positively correlated with the relative abundance of blackflies (r = 0.617, n = 12, P = 0.033) and monthly biting rates (r = 0.612, n = 12, P = 0.034). A model to predict relative abundance and monthly biting rates using climatological variables was developed.

conclusionsThis study demonstrated that Simulium species in the study area preferred higher temperature, lower humidity and rainfall, more hours of sunshine and relatively stronger winds for survival. It is thus recommended that for the study district and others with similar climatological characteristics, mass drug administration of ivermectin should take place in April and September when the abundance of vectors has begun to decline after peaking.

Indexed as

Insect Bites and StingsSimuliidaeAnimalsAntiparasitic AgentsDisease VectorsGhanaHumansInsect VectorsIvermectinNeglected DiseasesOnchocerciasisRainSeasonsTemperatureAntiparasitic AgentsIvermectinBiting ratesClimatic conditionsIvermectinModellingNeglected tropical diseaseOnchocerciasisRelative abundanceSimulium

Identifiers

PMID32375902
PMCPMC7204027
OpenAlexW3021067880

What OpenQuestion holds

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LicenceCC BY
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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.