Evidence map›Paper›PMID 36922855›Full record

ArticleParasites & vectors2023

The interplay between malaria vectors and human activity accounts for high residual malaria transmission in a Burkina Faso village with universal ITN coverage.

Eleonora Perugini, Wamdaogo M Guelbeogo, Federica Guglielmo, Cristiana Poggi, Eugenio Gabrieli, Hilary Ranson, Alessandra Della Torre, Marco Pombi

Open access · goldFull text read
In one paragraph

Article in Parasites & vectors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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  6. Larvicidal, Ovicidal, and Repellent Activities ofJournal of tropical medicine · 2024
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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

8 authors at 3 institutions in 3 countries.

Eleonora PeruginiDepartment of Public Health and Infectious Diseases, Sapienza University, Rome, Italy.
Wamdaogo M GuelbeogoCentre National de Recherche et Formation sur le Paludisme, Ouagadougou, Burkina Faso.
Federica GuglielmoDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Cristiana PoggiDepartment of Public Health and Infectious Diseases, Sapienza University, Rome, Italy.
Eugenio GabrieliDepartment of Public Health and Infectious Diseases, Sapienza University, Rome, Italy.
Hilary RansonDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Alessandra Della TorreDepartment of Public Health and Infectious Diseases, Sapienza University, Rome, Italy.
Marco PombiDepartment of Public Health and Infectious Diseases, Sapienza University, Rome, Italy. marco.pombi@uniroma1.it.
Liverpool School of Tropical Medicine · GBCentre National de Recherche et de Formation sur le Paludisme · BFSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMosquito and human behaviour interaction is a key determinant of the maximum level of protection against malaria that can be provided by insecticide-treated nets (ITNs). Nevertheless, scant literature focuses on this interaction, overlooking a fundamental factor for efficient malaria control. This study aims to estimate malaria transmission risk in a Burkina Faso village by integrating vector biting rhythms with some key information about human habits.

methodsIndoor/outdoor human landing catches were conducted for 16 h (16:00-08:00) during 8 nights (September 2020) in Goden village. A survey about net usage and sleeping patterns was submitted to half the households (October-December 2020). A subsample of collected specimens of Anopheles gambiae sensu lato was molecularly processed for species identification, Plasmodium detection from heads-thoraxes and L1014F pyrethroid-resistance allele genotyping. Hourly mosquito abundance was statistically assessed by GLM/GAM, and the entomological inoculation rate (EIR) was corrected for the actual ITN usage retrieved from the questionnaire.

resultsMalaria transmission was mainly driven by Anopheles coluzzii (68.7%) followed by A. arabiensis (26.2%). The overall sporozoite rate was 2% with L1014F estimated frequency of 0.68 (N = 1070 out of 15,201 A. gambiae s.l. collected). No major shift in mosquito biting rhythms in response to ITN or differences between indoor and outdoor catches were detected. Impressive high biting pressure (mean 30.3 mosquitoes/person/hour) was exerted from 20:00 to 06:00 with a peak at 4:00. Human survey revealed that nearly all inhabitants were awake before 20:00 and after 7:00 and at least 8.7% had no access to bednets. Adjusting for anthropological data, the EIR dropped from 6.7 to 1.2 infective bites/person/16 h. In a scenario of full net coverage and accounting only for the human sleeping patterns, the daily malaria transmission risk not targetable by ITNs was 0.69 infective bites.

conclusionsThe high mosquito densities and interplay between human/vector activities means that an estimated 10% of residual malaria transmission cannot be prevented by ITNs in the village. Locally tailored studies, like the current one, are essential to explore the heterogeneity of human exposure to infective bites and, consequently, to instruct the adoption of new vector control tools strengthening individual and community protection.

Indexed as

AnophelesInsecticidesMalariaAnimalsBurkina FasoHumansMosquito ControlMosquito VectorsInsecticidesAnopheles arabiensisAnopheles coluzziiBiting rhythmsEntomological inoculation rateHuman exposureResidual malaria transmission

Identifiers

PMID36922855
PMCPMC10015820
OpenAlexW4324359047

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read113
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.