Evidence map›Paper›PMID 26272596›Full record

ArticleInternational journal of health geographics2015

Estimating Ixodes ricinus densities on the landscape scale.

Denise Boehnke, Katharina Brugger, Miriam Pfäffle, Patrick Sebastian, Stefan Norra, Trevor Petney, Rainer Oehme, Nina Littwin, Karin Lebl, Johannes Raith and 3 more

Abstract read
In one paragraph

Article in International journal of health geographics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Article
  3. Predicting the distribution ofParasitology · 2024
    Article
  4. Review
  5. Article
  6. Seroepidemiology ofMicroorganisms · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors.

Denise BoehnkeInstitute of Geography and Geoecology, Karlsruhe Institute of Technology, Reinhard-Baumeister-Platz 1, 76131, Karlsruhe, Germany. denise.boehnke@kit.edu.
Katharina BruggerInstitute for Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210, Vienna, Austria. katharina.brugger@vetmeduni.ac.at.
Miriam PfäffleDepartment of Ecology and Parasitology, Institute of Zoology, Karlsruhe Institute of Technology, Kornblumen Strasse 13, 76131, Karlsruhe, Germany. miripfaeffle@web.de.
Patrick SebastianBaden-Württemberg State Health Office, District Government Stuttgart, Nordbahnhof Strasse 135, 70191, Stuttgart, Germany. patrick_sebastian@gmx.net.
Stefan NorraInstitute of Geography and Geoecology, Karlsruhe Institute of Technology, Reinhard-Baumeister-Platz 1, 76131, Karlsruhe, Germany. stefan.norra@kit.edu.
Trevor PetneyDepartment of Ecology and Parasitology, Institute of Zoology, Karlsruhe Institute of Technology, Kornblumen Strasse 13, 76131, Karlsruhe, Germany. trevor.petney@kit.edu.
Rainer OehmeBaden-Württemberg State Health Office, District Government Stuttgart, Nordbahnhof Strasse 135, 70191, Stuttgart, Germany. rainer.oehme@rps.bwl.de.
Nina LittwinDepartment of Ecology and Parasitology, Institute of Zoology, Karlsruhe Institute of Technology, Kornblumen Strasse 13, 76131, Karlsruhe, Germany. nina.littwin@kit.edu.
Karin LeblInstitute for Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210, Vienna, Austria. karin.lebl@vetmeduni.ac.at.
Johannes RaithInstitute for Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210, Vienna, Austria. johannes.raith@vetmeduni.ac.at.
Melanie WalterInstitute for Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210, Vienna, Austria. melanie.walter@vetmeduni.ac.at.
Reiner GebhardtInstitute of Geography and Geoecology, Karlsruhe Institute of Technology, Reinhard-Baumeister-Platz 1, 76131, Karlsruhe, Germany. reiner.gebhardt@kit.edu.
Franz RubelInstitute for Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210, Vienna, Austria. franz.rubel@vetmeduni.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study describes the estimation of the spatial distribution of questing nymphal tick densities by investigating Ixodes ricinus in Southwest Germany as an example. The production of high-resolution maps of questing tick densities is an important key to quantify the risk of tick-borne diseases. Previous I. ricinus maps were based on quantitative as well as semi-quantitative categorisations of the tick density observed at study sites with different vegetation types or indices, all compiled on local scales. Here, a quantitative approach on the landscape scale is introduced.

methodsDuring 2 years, 2013 and 2014, host-seeking ticks were collected each month at 25 sampling sites by flagging an area of 100 square meters. All tick stages were identified to species level to select nymphal ticks of I. ricinus, which were used to develop and calibrate Poisson regression models. The environmental variables height above sea level, temperature, relative humidity, saturation deficit and land cover classification were used as explanatory variables.

resultsThe number of flagged nymphal tick densities range from zero (mountain site) to more than 1,000 nymphs/100 m(2). Calibrating the Poisson regression models with these nymphal densities results in an explained variance of 72 % and a prediction error of 110 nymphs/100 m(2) in 2013. Generally, nymphal densities (maximum 374 nymphs/100 m(2)), explained variance (46 %) and prediction error (61 nymphs/100 m(2)) were lower in 2014. The models were used to compile high-resolution maps with 0.5 km(2) grid size for the study region of the German federal state Baden-Württemberg. The accuracy of the mapped tick densities was investigated by leave-one-out cross-validation resulting in root-mean-square-errors of 227 nymphs/100 m(2) for 2013 and 104 nymphs/100 m(2) for 2014.

conclusionsThe methodology introduced here may be applied to further tick species or extended to other study regions. Finally, the study is a first step towards the spatial estimation of tick-borne diseases in Central Europe.

Indexed as

EnvironmentAnimalsGermanyInsect VectorsIxodesLyme DiseasePoisson DistributionPopulation DensityTick Infestations

Identifiers

PMID26272596
PMCPMC4536605

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.