Evidence map›Paper›PMID 39985064›Full record

ReviewParasites & vectors2025

Revealing complex mosquito behaviour: a review of current automated video tracking systems suitable for tracking mosquitoes in the field.

Beatrice H Bredt, Frédéric Tripet, Pie Müller

Abstract readReview
In one paragraph

Review in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

Beatrice H BredtSwiss Tropical and Public Health Institute (Swiss TPH), Allschwil, Switzerland. beatrice.bredt@swisstph.ch.
Frédéric TripetSwiss Tropical and Public Health Institute (Swiss TPH), Allschwil, Switzerland.
Pie MüllerSwiss Tropical and Public Health Institute (Swiss TPH), Allschwil, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquito-borne pathogens continue to cause tremendous suffering, morbidity and mortality. For many of these diseases, vector control remains the most effective approach. The development and deployment of effective and efficient mosquito control products and strategies require a profound understanding of mosquito behaviour. To study complex mosquito behaviour, automated video tracking of mosquito flight paths has proven to be a comprehensive approach, and several video tracking approaches have emerged in recent years, making the choice for a suitable system challenging. Here, we conducted a literature review by searching PubMed and Google Scholar, and we identified 66 publications focusing on mosquito video tracking, which made use of eight different systems. We then compared and scored those video tracking systems by assessing their performance in the laboratory as well as their potential suitability for tracking mosquito behaviour in a field setting. While all eight systems have produced valuable information on mosquito behaviour, for tracking mosquitoes in the field, 'Braid', 'EthoVision XT' and 'Trackit3D' appear to be the most suitable systems as they need small disk capacity and are well adaptable to different settings. However, the optimal choice will ultimately depend on the specifications required to answer a given research question, the financial resources available and user preferences.

Indexed as

Behavior, AnimalCulicidaeMosquito VectorsVideo RecordingAnimalsMosquito Control3D video trackingBehaviourExperimental hutMosquitoVector control

Identifiers

PMID39985064
PMCPMC11846416

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.