Evidence map›Paper›PMID 33059722›Full record

ArticleParasites & vectors2020

Anopheles gambiae (s.l.) is found where few are looking: assessing mosquito diversity and density outside inhabited areas using diverse sampling methods.

Patric Stephane Epopa, Abdoul Azize Millogo, Catherine Matilda Collins, Ace R North, Mark Quentin Benedict, Frederic Tripet, Samantha OʼLoughlin, Roch K Dabiré, Georges Anicet Ouédraogo, Abdoulaye Diabaté

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 17 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

10 authors at 8 institutions in 3 countries.

Patric Stephane EpopaInstitut de Recherche en Sciences de la Santé/Centre Muraz, Bobo-Dioulasso, Burkina Faso. epopastef@yahoo.fr.
Abdoul Azize MillogoInstitut des Sciences des Sociétés, Ouagadougou, Burkina Faso.
Catherine Matilda CollinsCentre for Environmental Policy, Imperial College London, London, UK.
Ace R NorthDepartment of Zoology, University of Oxford, Oxford, UK.
Mark Quentin BenedictCenters for Disease Control and Prevention (CDC), Atlanta, USA.
Frederic TripetCentre for Applied Entomology and Parasitology, School of Life Sciences, Keele University, Staffordshire, UK.
Samantha OʼLoughlinDepartment of Life Sciences, Imperial College London, London, UK.
Roch K DabiréInstitut de Recherche en Sciences de la Santé/Centre Muraz, Bobo-Dioulasso, Burkina Faso.
Georges Anicet OuédraogoLaboratoire de Recherche et d'Enseignement en Santé et Biotechnologies Animales, Université Nazi Boni (UNB), Bobo-Dioulasso, Burkina Faso.
Abdoulaye DiabatéInstitut de Recherche en Sciences de la Santé/Centre Muraz, Bobo-Dioulasso, Burkina Faso.
Centre Muraz · BFImperial College London · GBCenters for Disease Control and Prevention · USInstitut de Recherche en Sciences de la Santé · BFInstitut des Sciences des SociétésKeele University · GBNazi Boni University · BFUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the promising current approaches to curb malaria lies in genetic vector control, the implementation of which will require an improved understanding of the movement of genetic constructs among mosquito populations. To predict potential gene flow from one area to another, it is important to begin to understand mosquito dynamics outside of the commonly-sampled village areas, and thus how genes may move between villages. This study assessed the presence and relative abundance of mosquitoes in a 6-km corridor between two villages in western Burkina Faso.

methodsThe area surrounding the villages was mapped and the road between them was used as the basis of a transect along which to sample. Five collection points were placed along this transect. To investigate both larval and adult mosquito presence, multiple sampling approaches were used surrounding each point: searching for larval sites in an area of 500 m radius, swarm sampling, human landing catches (HLC), CDC light traps and backpack aspiration catches of potential resting sites. Sampling took place twice: in September and October 2015.

resultsAdult mosquitoes from six species of Anopheles and three other genera were found along the whole transect. Anopheles gambiae (s.l.) was the most abundant followed by Anopheles nili and Anopheles coustani. Larvae of Anopheles spp. were found in small pools of surface water along the whole transect, though their presence increased with human proximity. HLC and aspiration were the most efficient methods of collecting adult mosquitoes along the whole transect, indicating that there are both host-seeking and resting mosquitoes well away from core village areas. In contrast, swarms of male mosquitoes, thought to be the principle mating locations of Anopheles spp. mosquitoes in West Africa, were only found close to the core village areas.

conclusionsThis preliminary study indicates that Anopheles spp. mosquitoes are both present and breeding in low human-density areas along transit axes and provides both a relative evaluation of methods for use in these areas and evidence that gene flow between Sahelian population centres is likely. More robust and structured studies are nevertheless needed to come with stronger conclusions.

Indexed as

AnophelesAnimalsBurkina FasoDisease VectorsLarvaMalariaMosquito ControlMosquito VectorsPopulation DensityPopulation DynamicsSpecimen HandlingAnopheles gambiae (s.l.)Genetic controlHuman settlementsMosquito sampling outside villagesVector control

Identifiers

PMID33059722
PMCPMC7558606
OpenAlexW3093276151

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.