Evidence map›Paper›PMID 38658696›Full record

ArticleScientific reports2024

Multiple factors affecting Ixodes ricinus ticks and associated pathogens in European temperate ecosystems (northeastern France).

Nathalie Boulanger, Delphine Aran, Armand Maul, Baba Issa Camara, Cathy Barthel, Marie Zaffino, Marie-Claire Lett, Annick Schnitzler, Pascale Bauda

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
12.9field-weighted citation impact, top 1% 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

21 citing papers in PubMed, 25 citations in OpenAlex.

  1. Distribution ofInternational journal for parasitology. Parasites and wildlife · 2026
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  8. Transboundary and emerging diseases · 2026
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  16. Dynamics ofApplied and environmental microbiology · 2025
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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

9 authors at 3 institutions in 1 country.

Nathalie BoulangerUniversité de Strasbourg UR3073: PHAVI: Groupe Borrelia, 67000, Strasbourg, France. nboulanger@unistra.fr.
Delphine AranUniversité de Lorraine, CNRS, LIEC, 57000, Metz, France.
Armand MaulUniversité de Lorraine, CNRS, LIEC, 57000, Metz, France.
Baba Issa CamaraUniversité de Lorraine, CNRS, LIEC, 57000, Metz, France.
Cathy BarthelUniversité de Strasbourg UR3073: PHAVI: Groupe Borrelia, 67000, Strasbourg, France.
Marie ZaffinoUniversité de Lorraine, CNRS, LIEC, 57000, Metz, France.
Marie-Claire LettUniversité de Strasbourg, MUFJ, 67000, Strasbourg, France.
Annick SchnitzlerUniversité de Lorraine, CNRS, LIEC, 57000, Metz, France.
Pascale BaudaUniversité de Lorraine, CNRS, LIEC, 57000, Metz, France. pascale.bauda@univ-lorraine.fr.
Centre National de la Recherche Scientifique · FRUniversité de Strasbourg · FRCentre Hospitalier Universitaire de Lille · FR

Funding

LabEx DRIIHM Investissement d'avenir ANR-11-LABX-0010
6 · The paper itself

Abstract

In Europe, the main vector of tick-borne zoonoses is Ixodes ricinus, which has three life stages. During their development cycle, ticks take three separate blood meals from a wide variety of vertebrate hosts, during which they can acquire and transmit human pathogens such as Borrelia burgdorferi sensu lato, the causative agent of Lyme borreliosis. In this study conducted in Northeastern France, we studied the importance of soil type, land use, forest stand type, and temporal dynamics on the abundance of ticks and their associated pathogens. Negative binomial regression modeling of the results indicated that limestone-based soils were more favorable to ticks than sandstone-based soils. The highest tick abundance was observed in forests, particularly among coniferous and mixed stands. We identified an effect of habitat time dynamics in forests and in wetlands: recent forests and current wetlands supported more ticks than stable forests and former wetlands, respectively. We observed a close association between tick abundance and the abundance of Cervidae, Leporidae, and birds. The tick-borne pathogens responsible for Lyme borreliosis, anaplasmosis, and hard tick relapsing fever showed specific habitat preferences and associations with specific animal families. Machine learning algorithms identified soil related variables as the best predictors of tick and pathogen abundance.

Indexed as

EcosystemIxodesAnimalsBorrelia burgdorferiForestsFranceHumansLyme DiseaseSoilSoil

Identifiers

PMID38658696
PMCPMC11579317
OpenAlexW4395078849

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.