Evidence map›Paper›PMID 34118973›Full record

ArticleParasites & vectors2021

Comparison of four outdoor mosquito trapping methods as potential replacements for human landing catches in western Kenya.

Bernard Abong'o, John E Gimnig, Bradley Longman, Tobias Odongo, Celestine Wekesa, Amos Webwile, Benjamin Oloo, Mercy Nduta, Margaret Muchoki, Diana Omoke and 6 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

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

  1. Meta-analysis of the prevalence ofFrontiers in cellular and infection microbiology · 2025
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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

16 authors at 5 institutions in 3 countries.

Bernard Abong'oCentre for Global Health Research, Kenya Medical Research Institute, P.O. Box 1578, Kisumu, Kenya. abongoben@gmail.com.ORCID http://orcid.org/0000-0002-5038-604X
John E GimnigDivision of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, 30333, USA.
Bradley LongmanPMI VectorLink Project, Abt Associates Inc., Whitehouse, Milimani, Kisumu, Ojijo Oteko Road, P.O. Box 895-40123, Kisumu, Kenya.
Tobias OdongoPMI VectorLink Project, Abt Associates Inc., Whitehouse, Milimani, Kisumu, Ojijo Oteko Road, P.O. Box 895-40123, Kisumu, Kenya.
Celestine WekesaPMI VectorLink Project, Abt Associates Inc., Whitehouse, Milimani, Kisumu, Ojijo Oteko Road, P.O. Box 895-40123, Kisumu, Kenya.
Amos WebwilePMI VectorLink Project, Abt Associates Inc., Whitehouse, Milimani, Kisumu, Ojijo Oteko Road, P.O. Box 895-40123, Kisumu, Kenya.
Benjamin OlooPMI VectorLink Project, Abt Associates Inc., Whitehouse, Milimani, Kisumu, Ojijo Oteko Road, P.O. Box 895-40123, Kisumu, Kenya.
Mercy NdutaPMI VectorLink Project, Abt Associates Inc., Whitehouse, Milimani, Kisumu, Ojijo Oteko Road, P.O. Box 895-40123, Kisumu, Kenya.
Margaret MuchokiPMI VectorLink Project, Abt Associates Inc., Whitehouse, Milimani, Kisumu, Ojijo Oteko Road, P.O. Box 895-40123, Kisumu, Kenya.
Diana OmokeCentre for Global Health Research, Kenya Medical Research Institute, P.O. Box 1578, Kisumu, Kenya.
Daniel WaciraThe United States President's Malaria Initiative (PMI), US Embassy Nairobi, United Nations Avenue, Nairobi, Kenya.
Kevin OpondoPMI VectorLink Project, Abt Associates Inc., Whitehouse, Milimani, Kisumu, Ojijo Oteko Road, P.O. Box 895-40123, Kisumu, Kenya.
Eric OchomoCentre for Global Health Research, Kenya Medical Research Institute, P.O. Box 1578, Kisumu, Kenya.
Stephen MungaCentre for Global Health Research, Kenya Medical Research Institute, P.O. Box 1578, Kisumu, Kenya.
Martin J DonnellyLiverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Richard M OxboroughPMI VectorLink Project, Abt Associates Inc., 6130 Executive Blvd, Rockville, MD, 20852, USA.
Kenya Medical Research Institute · KECenters for Disease Control and Prevention · USLiverpool School of Tropical Medicine · GBUnited Nations · USVector (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLongitudinal monitoring of outdoor-biting malaria vector populations is becoming increasingly important in understanding the dynamics of residual malaria transmission. However, the human landing catch (HLC), the gold standard for measuring human biting rates indoors and outdoors, is costly and raises ethical concerns related to increased risk of infectious bites among collectors. Consequently, routine data on outdoor-feeding mosquito populations are usually limited because of the lack of a scalable tool with similar sensitivity to outdoor HLC. METHODOLOGY: The Anopheles trapping sensitivity of four baited proxy outdoor trapping methods-Furvela tent trap (FTT), host decoy trap (HDT), mosquito electrocuting traps (MET) and outdoor CDC light traps (OLT)-was assessed relative to HLC in a 5 × 5 replicated Latin square conducted over 25 nights in two villages of western Kenya. Indoor CDC light trap (ILT) was run in one house in each of the compounds with outdoor traps, while additional non-Latin square indoor and outdoor HLC collections were performed in one of the study villages.

resultsThe MET, FTT, HDT and OLT sampled approximately 4.67, 7.58, 5.69 and 1.98 times more An. arabiensis compared to HLC, respectively, in Kakola Ombaka. Only FTT was more sensitive relative to HLC in sampling An. funestus in Kakola Ombaka (RR = 5.59, 95% CI 2.49-12.55, P < 0.001) and Masogo (RR = 4.38, 95% CI 1.62-11.80, P = 0.004) and in sampling An. arabiensis in Masogo (RR = 5.37, 95% CI 2.17-13.24, P < 0.001). OLT sampled significantly higher numbers of An. coustani in Kakola Ombaka (RR = 3.03, 95% CI 1.65-5.56, P < 0.001) and Masogo (RR = 2.88, 95% CI 1.15-7.22, P = 0.02) compared to HLC. OLT, HLC and MET sampled mostly An. coustani, FTT had similar proportions of An. funestus and An. arabiensis, while HDT sampled predominantly An. arabiensis in both villages. FTT showed close correlation with ILT in vector abundance for all three species at both collection sites.

conclusionFTT and OLT are simple, easily scalable traps and are potential replacements for HLC in outdoor sampling of Anopheles mosquitoes. However, the FTT closely mirrored indoor CDC light trap in mosquito indices and therefore may be more of an indoor mimic than a true outdoor collection tool. HDT and MET show potential for sampling outdoor host-seeking mosquitoes. However, the traps as currently designed may not be feasible for large-scale, longitudinal entomological monitoring. Therefore, the baited outdoor CDC light trap may be the most appropriate tool currently available for assessment of outdoor-biting and malaria transmission risk.

Indexed as

AnimalsAnophelesEntomologyFeeding BehaviorFemaleHumansKenyaMalariaMaleMosquito ControlMosquito VectorsSpecimen Handling

Identifiers

PMID34118973
PMCPMC8196510
OpenAlexW3167372528

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.