Evidence map›Paper›PMID 36494724›Full record

SynthesisMalaria journal2022

Which trap is best? Alternatives to outdoor human landing catches for malaria vector surveillance: a meta-analysis.

Jordan Eckert, Seun Oladipupo, Yifan Wang, Shanshan Jiang, Vivek Patil, Benjamin A McKenzie, Neil F Lobo, Sarah Zohdy

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

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  7. Sampling efficiency and screening ofThe Pan African medical journal · 2024
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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 at 5 institutions in 1 country.

Jordan Eckert *Department of Mathematics and Statistics, Auburn University, 221 Parker Hall, Auburn, AL, 36849, USA.
Seun Oladipupo *Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.
Yifan WangDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.
Shanshan JiangDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.
Vivek PatilDepartment of Biosystems Engineering, Auburn University, Auburn, AL, USA.
Benjamin A McKenzieGeospatial Research, Analysis and Services Program, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Neil F LoboEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA.
Sarah ZohdyCollege of Forestry, Wildlife, and Environment, Auburn University, Auburn, AL, USA. ykr2@cdc.gov.ORCID http://orcid.org/0000-0001-5316-0567
Auburn University · USCenters for Disease Control and Prevention · USUniversity of Notre Dame · USU.S. President's Malaria Initiative · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman landing catches (HLC) are an entomological collection technique in which humans are used as attractants to capture medically relevant host-seeking mosquitoes. The use of this method has been a topic of extensive debate for decades mainly due to ethical concerns. Many alternatives to HLC have been proposed; however, no quantitative review and meta-analysis comparing HLC to outdoor alternative trapping methods has been conducted.

methodsA total of 58 comparisons across 12 countries were identified. We conducted a meta-analysis comparing the standardized mean difference of Anopheles captured by HLC and alternative traps. To explain heterogeneity, three moderators were chosen for analysis: trap type, location of study, and species captured. A meta-regression was fit to understand how the linear combination of moderators helped in explaining heterogeneity. The possibility of biased results due to publication bias was also explored.

resultsRandom-effects meta-analysis showed no statistically significant difference in the mean difference of Anopheles collected. Moderator analysis was conducted to determine the effects of trap type, geographical location of study, and the species of Anopheles captured. On average, tent-based traps captured significantly more Anopheles than outdoor HLC (95% CI: [- .9065, - 0.0544]), alternative traps in Africa captured on average more mosquitoes than outdoor HLC (95% CI: [- 2.8750, - 0.0294]), and alternative traps overall captured significantly more Anopheles gambiae s.l. than outdoor HLC (95% CI: [- 4.4613, - 0.2473]) on average. Meta-regression showed that up to 55.77% of the total heterogeneity found can be explained by a linear combination of the three moderators and the interaction between trap type and species. Subset analysis on An. gambiae s.l. showed that light traps specifically captured on average more of this species than HLC (95% CI: [- 18.3751, - 1.0629]). Publication bias likely exists. With 59.65% of studies reporting p-values less than 0.025, we believe there is an over representation in the literature of results indicating that alternative traps are superior to outdoor HLC.

conclusionsCurrently, there is no consensus on a single "magic bullet" alternative to outdoor HLC. The diversity of many alternative trap comparisons restricts potential metrics for comparisons to outdoor HLC. Further standardization and specific question-driven trap evaluations that consider target vector species and the vector control landscape are needed to allow for robust meta-analyses with less heterogeneity and to develop data-driven decision-making tools for malaria vector surveillance and control.

Indexed as

AnophelesMalariaAfricaAnimalsEntomologyHumansMosquito ControlMosquito VectorsAnophelesCollectionHLCMeta-analysisMosquito

Identifiers

PMID36494724
PMCPMC9733232
OpenAlexW4311661999

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.