Evidence map›Paper›PMID 33662005›Full record

ArticlePloS one2021

Real-time dispersal of malaria vectors in rural Africa monitored with lidar.

Samuel Jansson, Elin Malmqvist, Yeromin Mlacha, Rickard Ignell, Fredros Okumu, Gerry Killeen, Carsten Kirkeby, Mikkel Brydegaard

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
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  5. Article
  6. Towards global insect biomonitoring with frugal methods.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Discrimination of Hover Fly Species and Sexes by Wing Interference Signals.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
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.

Samuel JanssonLund Laser Centre, Department of Physics, Lund University, Lund, Sweden.ORCID 0000-0003-4142-6334
Elin MalmqvistLund Laser Centre, Department of Physics, Lund University, Lund, Sweden.
Yeromin MlachaEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, Ifakara, Tanzania.
Rickard IgnellDisease Vector Group, Department of Plant Protection Biology, Swedish University of Agricultural Sciences, Alnarp, Sweden.
Fredros OkumuEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, Ifakara, Tanzania.
Gerry KilleenEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, Ifakara, Tanzania.ORCID 0000-0002-8583-8739
Carsten KirkebyDepartment of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.ORCID 0000-0001-9292-5526
Mikkel BrydegaardLund Laser Centre, Department of Physics, Lund University, Lund, Sweden.ORCID 0000-0003-0586-664X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lack of tools for detailed, real-time observation of mosquito behavior with high spatio-temporal resolution limits progress towards improved malaria vector control. We deployed a high-resolution entomological lidar to monitor a half-kilometer static transect positioned over rice fields outside a Tanzanian village. A quarter of a million in situ insect observations were classified, and several insect taxa were identified based on their modulation signatures. We observed distinct range distributions of male and female mosquitoes in relation to the village periphery, and spatio-temporal behavioral features, such as swarming. Furthermore, we observed that the spatial distributions of males and females change independently of each other during the day, and were able to estimate the daily dispersal of mosquitoes towards and away from the village. The findings of this study demonstrate how lidar-based monitoring could dramatically improve our understanding of malaria vector ecology and control options.

Indexed as

AfricaAnimalsAnophelesEnvironmental MonitoringFemaleGeographic Information SystemsMalariaMaleMosquito VectorsRural Population

Identifiers

PMID33662005
PMCPMC7932069

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.