Evidence map›Paper›PMID 27075002›Full record

ArticleJournal of the Royal Society, Interface2016

A novel video-tracking system to quantify the behaviour of nocturnal mosquitoes attacking human hosts in the field.

N C Angarita-Jaimes, J E A Parker, M Abe, F Mashauri, J Martine, C E Towers, P J McCall, D P Towers

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Video-trackedRoyal Society open science · 2024
    Article
  8. Behavioural responses ofCurrent research in parasitology & vector-borne diseases · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
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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.

N C Angarita-JaimesOptical Engineering Group, School of Engineering, University of Warwick, Coventry CV4 7AL, UK.ORCID http://orcid.org/0000-0003-1686-2409
J E A ParkerVector Biology Department, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, UK.ORCID http://orcid.org/0000-0002-5780-6297
M AbeVector Biology Department, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, UK.
F MashauriNational Institute for Medical Research, Mwanza Medical Research Centre, PO Box 1462, Mwanza, Tanzania.
J MartineNational Institute for Medical Research, Mwanza Medical Research Centre, PO Box 1462, Mwanza, Tanzania.
C E TowersOptical Engineering Group, School of Engineering, University of Warwick, Coventry CV4 7AL, UK.ORCID http://orcid.org/0000-0001-8296-5540
P J McCallVector Biology Department, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, UK.ORCID http://orcid.org/0000-0002-0007-3985
D P TowersOptical Engineering Group, School of Engineering, University of Warwick, Coventry CV4 7AL, UK d.towers@warwick.ac.uk.ORCID http://orcid.org/0000-0002-2618-1626

Funding

Medical Research Council MC_PC_13069Medical Research Council MR/M011941/1
6 · The paper itself

Abstract

Many vectors of malaria and other infections spend most of their adult life within human homes, the environment where they bloodfeed and rest, and where control has been most successful. Yet, knowledge of peri-domestic mosquito behaviour is limited, particularly how mosquitoes find and attack human hosts or how insecticides impact on behaviour. This is partly because technology for tracking mosquitoes in their natural habitats, traditional dwellings in disease-endemic countries, has never been available. We describe a sensing device that enables observation and recording of nocturnal mosquitoes attacking humans with or without a bed net, in the laboratory and in rural Africa. The device addresses requirements for sub-millimetre resolution over a 2.0 × 1.2 × 2.0 m volume while using minimum irradiance. Data processing strategies to extract individual mosquito trajectories and algorithms to describe behaviour during host/net interactions are introduced. Results from UK laboratory and Tanzanian field tests showed that Culex quinquefasciatus activity was higher and focused on the bed net roof when a human host was present, in colonized and wild populations. Both C. quinquefasciatus and Anopheles gambiae exhibited similar behavioural modes, with average flight velocities varying by less than 10%. The system offers considerable potential for investigations in vector biology and many other fields.

Indexed as

Video RecordingAnimalsAnophelesCulexFeeding BehaviorHumansTanzaniaUnited Kingdomalgorithmbehaviourimagingmalariamosquitotracking

Identifiers

PMID27075002
PMCPMC4874425

What OpenQuestion holds

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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.