Evidence map›Paper›PMID 24321224›Full record

ArticleParasites & vectors2013

Ticks in the wrong boxes: assessing error in blanket-drag studies due to occasional sampling.

Andrew D M Dobson

Abstract read
In one paragraph

Article in Parasites & vectors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

  1. Article
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  8. Review
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  11. Article
  12. The Density of the Lyme Disease Vector,Northeastern naturalist · 2019
    Article
  13. Article
  14. Article
  15. Lyme disease ecology in a changing world: consensus, uncertainty and critical gaps for improving control.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Estimating Ixodes ricinus densities on the landscape scale.International journal of health geographics · 2015
    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

1 author.

Andrew D M DobsonSchool of Biological and Environmental Sciences, University of Stirling, Cottrell Building, FK9 4LA, Stirling, UK. andrew.dobson@stir.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk posed by ticks as vectors of disease is typically assessed by blanket-drag sampling of host-seeking individuals. Comparisons of peak abundance between plots - either in order to establish their relative risk or to identify environmental correlates - are often carried out by sampling on one or two occasions during the period of assumed peak tick activity.

methodsThis paper simulates this practice by 're-sampling' from model datasets derived from an empirical field study. Re-sample dates for each plot are guided by either the previous year's peak at the plot, or the previous year's peak at a similar, nearby plot. Results from single, double and three-weekly sampling regimes are compared.

resultsSampling on single dates within a two-month window of assumed peak activity has the potential to introduce profound errors; sampling on two dates (double sampling) offers greater precision, but three-weekly sampling is the least biased.

conclusionsThe common practice of sampling for the abundance of host-seeking ticks on single dates in each plot-year should be strenuously avoided; it is recommended that field acarologists employ regular sampling throughout the year at intervals no greater than three weeks, for a variety of epidemiological studies.

Indexed as

AnimalsEntomologyTicksTime Factors

Identifiers

PMID24321224
PMCPMC4029458

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.