Evidence map›Paper›PMID 26082036›Full record

ArticleMalaria journal2015

Applications and limitations of Centers for Disease Control and Prevention miniature light traps for measuring biting densities of African malaria vector populations: a pooled-analysis of 13 comparisons with human landing catches.

Olivier J T Briët, Bernadette J Huho, John E Gimnig, Nabie Bayoh, Aklilu Seyoum, Chadwick H Sikaala, Nicodem Govella, Diadier A Diallo, Salim Abdullah, Thomas A Smith and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Malaria journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
4.3field-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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
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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

11 authors at 6 institutions in 7 countries.

Olivier J T BriëtDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002, Basel, Switzerland. olivier.briet@unibas.ch.
Bernadette J HuhoDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002, Basel, Switzerland. bjohn@ihi.or.tz.
John E GimnigCentre for Global Health Research, Kenya Medical Research Institute, PO Box 1578, Kisumu, Kenya. hzg1@cdc.gov.
Nabie BayohCentre for Global Health Research, Kenya Medical Research Institute, PO Box 1578, Kisumu, Kenya. NBayoh@kemricdc.org.
Aklilu SeyoumVector Biology Department, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. Aklilu_Seyoum@africairs.net.
Chadwick H SikaalaVector Biology Department, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. chadsikaala@gmail.com.
Nicodem GovellaIfakara Health Institute, PO Box 78373, Dar es Salaam, United Republic of Tanzania. govella@ihi.or.tz.
Diadier A DialloCentre National de Recherche et de Formation sur le Paludisme (CNRFP), 01 BP 2208, Ouagadougou 01, Ouagadougou, Burkina Faso. ddiallo@path.org.
Salim AbdullahIfakara Health Institute, PO Box 78373, Dar es Salaam, United Republic of Tanzania. sabdulla@ihi.or.tz.
Thomas A SmithDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002, Basel, Switzerland. thomas.a-smith@unibas.ch.
Gerry F KilleenIfakara Health Institute, PO Box 78373, Dar es Salaam, United Republic of Tanzania. Gerry.Killeen@lstmed.ac.uk.
Ifakara Health Institute · TZLiverpool School of Tropical Medicine · GBSwiss Tropical and Public Health Institute · CHCenters for Disease Control and Prevention · USCentre National de Recherche et de Formation sur le Paludisme · BFKenya Medical Research Institute · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasurement of densities of host-seeking malaria vectors is important for estimating levels of disease transmission, for appropriately allocating interventions, and for quantifying their impact. The gold standard for estimating mosquito-human contact rates is the human landing catch (HLC), where human volunteers catch mosquitoes that land on their exposed body parts. This approach necessitates exposure to potentially infectious mosquitoes, and is very labour intensive. There are several safer and less labour-intensive methods, with Centers for Disease Control light traps (LT) placed indoors near occupied bed nets being the most widely used.

methodsThis paper presents analyses of 13 studies with paired mosquito collections of LT and HLC to evaluate these methods for their consistency in sampling indoor-feeding mosquitoes belonging to the two major taxa of malaria vectors across Africa, the Anopheles gambiae sensu lato complex and the Anopheles funestus s.l. group. Both overall and study-specific sampling efficiencies of LT compared with HLC were computed, and regression methods that allow for the substantial variations in mosquito counts made by either method were used to test whether the sampling efficacy varies with mosquito density.

resultsGenerally, LT were able to collect similar numbers of mosquitoes to the HLC indoors, although the relative sampling efficacy, measured by the ratio of LT:HLC varied considerably between studies. The overall best estimate for An. gambiae s.l. was 1.06 (95% credible interval: 0.68-1.64) and for An. funestus s.l. was 1.37 (0.70-2.68). Local calibration exercises are not reproducible, since only in a few studies did LT sample proportionally to HLC, and there was no geographical pattern or consistent trend with average density in the tendency for LT to either under- or over-sample.

conclusionsLT are a crude tool at best, but are relatively easy to deploy on a large scale. Spatial and temporal variation in mosquito densities and human malaria transmission exposure span several orders of magnitude, compared to which the inconsistencies of LT are relatively small. LT, therefore, remain an invaluable and safe alternative to HLC for measuring indoor malaria transmission exposure in Africa.

Indexed as

Africa, EasternAfrica, WesternAnimalsAnophelesCenters for Disease Control and Prevention, U.S.Feeding BehaviorHumansInsect VectorsMalariaMosquito ControlMozambiqueUnited States

Identifiers

PMID26082036
PMCPMC4470360
OpenAlexW1509438916

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.