Evidence map›Paper›PMID 33764969›Full record

ArticlePLoS neglected tropical diseases2021

Negative density-dependent dispersal in tsetse (Glossina spp): An artefact of inappropriate analysis.

John W Hargrove, John Van Sickle, Glyn A Vale, Eric R Lucas

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 3 countries.

John W HargroveSACEMA, University of Stellenbosch, Stellenbosch, South Africa.ORCID 0000-0003-0346-5260
John Van SickleDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, Oregon, United States of America.
Glyn A ValeSACEMA, University of Stellenbosch, Stellenbosch, South Africa.
Eric R LucasLiverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0003-3892-1668
Stellenbosch University · ZALiverpool School of Tropical Medicine · GBOregon Department of Fish and Wildlife · US

Funding

Biotechnology and Biological Sciences Research Council BB/L019035/1Biotechnology and Biological Sciences Research Council BB/S01375X/1
6 · The paper itself

Abstract

Published analysis of genetic material from field-collected tsetse (Glossina spp, primarily from the Palpalis group) has been used to predict that the distance (δ) dispersed per generation increases as effective population densities (De) decrease, displaying negative density-dependent dispersal (NDDD). Using the published data we show this result is an artefact arising primarily from errors in estimates of S, the area occupied by a subpopulation, and thereby in De. The errors arise from the assumption that S can be estimated as the area ([Formula: see text]) regarded as being covered by traps. We use modelling to show that such errors result in anomalously high correlations between [Formula: see text] and [Formula: see text] and the appearance of NDDD, with a slope of -0.5 for the regressions of log([Formula: see text]) on log([Formula: see text]), even in simulations where we specifically assume density-independent dispersal (DID). A complementary mathematical analysis confirms our findings. Modelling of field results shows, similarly, that the false signal of NDDD can be produced by varying trap deployment patterns. Errors in the estimates of δ in the published analysis were magnified because variation in estimates of S were greater than for all other variables measured, and accounted for the greatest proportion of variation in [Formula: see text]. Errors in census population estimates result from an erroneous understanding of the relationship between trap placement and expected tsetse catch, exacerbated through failure to adjust for variations in trapping intensity, trap performance, and in capture probabilities between geographical situations and between tsetse species. Claims of support in the literature for NDDD are spurious. There is no suggested explanation for how NDDD might have evolved. We reject the NDDD hypothesis and caution that the idea should not be allowed to influence policy on tsetse and trypanosomiasis control.

Indexed as

Animal DistributionData AnalysisAnimalsArtifactsModels, BiologicalPest ControlPopulation DensityTsetse Flies

Identifiers

PMID33764969
PMCPMC8023489
OpenAlexW3138390772

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.