Evidence map›Paper›PMID 23800283›Full record

ArticleParasites & vectors2013

Spatial disaggregation of tick occurrence and ecology at a local scale as a preliminary step for spatial surveillance of tick-borne diseases: general framework and health implications in Belgium.

Valerie Obsomer, Marc Wirtgen, Annick Linden, Edwin Claerebout, Paul Heyman, Dieter Heylen, Maxime Madder, Jo Maris, Maude Lebrun, Wesley Tack and 3 more

Open access · goldAbstract 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 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. A Systematic Review on the Occurrence ofPathogens (Basel, Switzerland) · 2025
    Pooled it
  2. Identifying and Mapping Ticks on Wild Boars from Romania.Animals : an open access journal from MDPI · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. First molecular detection ofFrontiers in veterinary science · 2023
    Article
  11. Article
  12. Article
  13. Atlas of ticks (Acari: Argasidae, Ixodidae) in Germany.Experimental & applied acarology · 2021
    Article
  14. Exploration of theVirus evolution · 2021
    Article
  15. Pathogens (Basel, Switzerland) · 2020
    Article
  16. Article
  17. Review
  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 at 6 institutions in 2 countries.

Valerie ObsomerUniversité Catholique de Louvain, Earth and Life Institute, Georges Lemaitre climate and earth research centre, place Louis Pasteur 3, 1348, Louvain la Neuve, Belgium. valerie.obsomer@uclouvain.be
Marc Wirtgen
Annick Linden
Edwin Claerebout
Paul Heyman
Dieter Heylen
Maxime Madder
Jo Maris
Maude Lebrun
Wesley Tack
Laetitia Lempereur
Thierry Hance
Georges Van Impe
UCLouvain · BEUniversity of Liège · BEGhent University · BEInstituut voor Tropische Geneeskunde · BEQueen Astrid Military Hospital · BEUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of tick-borne diseases is increasing in Europe. Sub national information on tick distribution, ecology and vector status is often lacking. However, precise location of infection risk can lead to better targeted prevention measures, surveillance and control.

methodsIn this context, the current paper compiled geolocated tick occurrences in Belgium, a country where tick-borne disease has received little attention, in order to highlight the potential value of spatial approaches and draw some recommendations for future research priorities.

resultsMapping of 89,289 ticks over 654 sites revealed that ticks such as Ixodes ricinus and Ixodes hexagonus are largely present while Dermacentor reticulatus has a patchy distribution. Suspected hot spots of tick diversity might favor pathogen exchanges and suspected hot spots of I. ricinus abundance might increase human-vector contact locally. This underlines the necessity to map pathogens and ticks in detail. While I. ricinus is the main vector, I. hexagonus is a vector and reservoir of Borrelia burgdorferi s.l., which is active the whole year and is also found in urban settings. This and other nidiculous species bite humans less frequently, but seem to harbour pathogens. Their role in maintaining a pathogenic cycle within the wildlife merits investigation as they might facilitate transmission to humans if co-occurring with I. ricinus. Many micro-organisms are found abroad in tick species present in Belgium. Most have not been recorded locally but have not been searched for. Some are transmitted directly at the time of the bite, suggesting promotion of tick avoidance additionally to tick removal.

conclusionThis countrywide approach to tick-borne diseases has helped delineate recommendations for future research priorities necessary to design public health policies aimed at spatially integrating the major components of the ecological cycle of tick-borne diseases. A systematic survey of tick species and associated pathogens is called for in Europe, as well as better characterisation of species interaction in the ecology of tick-borne diseases, those being all tick species, pathogens, hosts and other species which might play a role in tick-borne diseases complex ecosystems.

Indexed as

EcosystemTopography, MedicalAnimalsBelgiumFemaleHumansInsect VectorsTick-Borne DiseasesTick InfestationsTicks

Identifiers

PMID23800283
PMCPMC3726513
OpenAlexW2157463531

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.