Evidence map›Paper›PMID 38937756›Full record

ArticleParasites & vectors2024

Large-scale performance assessment of the BG-Counter 2 used with two different mosquito traps.

Leif Rauhöft, Tatiana Șuleșco, Sara M Martins Afonso, Jonas Schmidt-Chanasit, Hanna Jöst, Felix G Sauer, Renke Lühken

Abstract read
In one paragraph

Article in Parasites & vectors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Leif RauhöftBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany. leif.rauhoeft@bnitm.de.
Tatiana ȘuleșcoBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Sara M Martins AfonsoBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Jonas Schmidt-ChanasitBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Hanna JöstBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Felix G SauerBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Renke LühkenBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.

Funding

Bundesministerium für Bildung und Forschung 01Kl2022
6 · The paper itself

Abstract

backgroundMosquitoes are important vectors of pathogens. They are usually collected with CO

methodsThe Biogents (BG)-Counter 2 automatically counts mosquitoes by discriminating the size of captured objects directly in the field and transmits the data to a cloud server. To assess the accuracy of this counting device, 27 traps were placed at 19 sampling sites across Germany and used in daily, weekly or bimonthly intervals from April until October 2021. The BG-Counter 2 was attached to a CO

resultsIn total 26,714 mosquitoes were collected during 854 trap days. The CO

conclusionsWhile the accuracy of the BG-Counter 2 is quite low, the device is able to depict mosquito phenology and provide information about local population dynamics.

Indexed as

CulicidaeMosquito ControlMosquito VectorsAnimalsFemaleGermanyAccuracyAutomatic countingCO2-trapCulexGravid trapMosquito trap

Identifiers

PMID38937756
PMCPMC11209956

What OpenQuestion holds

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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.