Evidence map›Paper›PMID 38869724›Full record

ArticleExperimental & applied acarology2024

Tick abundance and infection with three zoonotic bacteria are heterogeneous in a Belgian peri-urban forest.

Raphaël Rousseau, Marcella Mori, Benoît Kabamba, Sophie O Vanwambeke

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Article in Experimental & applied acarology, 2024. 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
–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

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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.

  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.

Raphaël RousseauEarth and Life Institute (ELI), Earth and Climate pole (ELIC), Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium.ORCID https://orcid.org/0000-0002-1333-9850
Marcella MoriBacterial zoonoses unit, Veterinary bacteriology, Sciensano, Ukkel/Uccle, Belgium.ORCID https://orcid.org/0000-0002-7191-9191
Benoît KabambaInstitute of Clinical and Experimental Research (IREC), Pôle de Microbiologie Médicale, Université catholique de Louvain (UCLouvain), Brussels, Belgium.ORCID https://orcid.org/0000-0003-0284-5210
Sophie O VanwambekeEarth and Life Institute (ELI), Earth and Climate pole (ELIC), Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium. sophie.vanwambeke@uclouvain.be.ORCID https://orcid.org/0000-0001-6620-6173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ixodes ricinus is a vector of several pathogens of public health interest. While forests are the primary habitat for I. ricinus, its abundance and infection prevalence are expected to vary within forest stands. This study assesses the spatio-temporal variations in tick abundance and infection prevalence with three pathogens in and around a peri-urban forest where human exposure is high. Ticks were sampled multiple times in 2016 and 2018 in multiple locations with a diversity of undergrowth, using the consecutive drags method. Three zoonotic pathogens were screened for, Borrelia burgdorferi s.l., Coxiella burnetii, and Francisella tularensis. The influence of season, type of site and micro-environmental factors on tick abundance were assessed with negative binomial generalized linear mixed-effects models. We collected 1642 nymphs and 181 adult ticks. Ticks were most abundant in the spring, in warmer temperatures, and where undergrowth was higher. Sites with vegetation unaffected by human presence had higher abundance of ticks. Forest undergrowth type and height were significant predictors of the level of tick abundance in a forest. The consecutive drags method is expected to provide more precise estimates of tick abundance, presumably through more varied contacts with foliage. Borrelia burgdorferi s.l. prevalence was estimated from pooled ticks at 5.33%, C. burnetii was detected in six pools and F. tularensis was not detected. Borrelia afzelii was the dominant B. burgdorferi genospecies. Tick abundance and B. burgdorferi s.l. infection prevalence were lower than other estimates in Belgian forests.

Indexed as

Coxiella burnetiiForestsFrancisella tularensisIxodesAnimalsBelgiumBorrelia burgdorferiFemaleNymphPopulation DensitySeasonsBorrelia burgdorferi s.l.ForestIxodes ricinusTick-borne disease riskTick-borne pathogens

Identifiers

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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.