Evidence map›Paper›PMID 36101880›Full record

ArticlePeerJ2022

Semi-field evaluation of human landing catches

Chanly Yan, Jeffrey Hii, Ratchadawan Ngoen-Klan, Manop Saeung, Theeraphap Chareonviriyaphap

Abstract readComparative Study
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Chanly YanDepartment of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok, Thailand.
Jeffrey HiiCollege of Public Health, Medical and Veterinary Sciences, James Cook University of North Queensland, North Queensland, Australia.
Ratchadawan Ngoen-KlanDepartment of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok, Thailand.
Manop SaeungDepartment of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok, Thailand.
Theeraphap ChareonviriyaphapDepartment of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Whilst the human landing catch (HLC) technique is considered the 'gold standard' for estimating human-biting rates, it is labor-intensive and fraught with potential risk of exposure to infectious mosquito bites. This study evaluated the feasibility and performance of an alternative method, the human double net trap (HDNT) relative to HLC for monitoring host-seeking malaria vectors of the Methods: HDNT and HLC were positioned in two rooms, 30 m apart at both ends of the SFS. Two human volunteers were rotated between both traps and collected released mosquitoes ( Results: There were 82.80% (2,136/2,580) of recaptures of wild-caught and 94.50% (2,835/3,000) of laboratory-reared mosquitoes that were molecularly identified as Conclusion: HDNT caught proportionately fewer

Indexed as

AnophelesInsect Bites and StingsMalariaAnimalsCD40 LigandEntomologyHumansMosquito VectorsThailandCD40 LigandCollection toolsEfficient trapsMosquito bitesRecaptureThailand

Identifiers

PMID36101880
PMCPMC9464434

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.