Evidence map›Paper›PMID 33743800›Full record

ArticleParasites & vectors2021

Masting by beech trees predicts the risk of Lyme disease.

Cindy Bregnard, Olivier Rais, Maarten Jeroen Voordouw

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Geography of masting creates greater synchrony in seed scarcity than in seed abundance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Tick paralysis induced byFrontiers in veterinary science · 2024
    Article
  7. Article
  8. Review
  9. The ecology and evolution of synchronized reproduction in long-lived plants.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  10. Article
  11. 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

3 authors at 2 institutions in 2 countries.

Cindy BregnardLaboratory of Ecology and Evolution of Parasites, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland. cindy.bregnard@unine.ch.ORCID http://orcid.org/0000-0002-3177-6130
Olivier RaisLaboratory of Ecology and Epidemiology of Parasites, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland.
Maarten Jeroen VoordouwLaboratory of Ecology and Evolution of Parasites, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland.
University of Neuchâtel · CHUniversity of Saskatchewan · CA

Funding

Bundesamt für Gesundheit 2009/10 (Projekt (911) 316)Bundesamt für Gesundheit 2011/13 (11.006911/ 304.0001-707)Natural Sciences and Engineering Research Council of Canada RGPIN-2019-04483Saskatchewan Health Research Foundation 4583Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung FN 310030-127064Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung FN 320000-113936Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung FN 3200B0-100657Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung FN 32-57098.99
6 · The paper itself

Abstract

backgroundThe incidence of Lyme borreliosis and other tick-borne diseases is increasing in Europe and North America. There is currently much interest in identifying the ecological factors that determine the density of infected ticks as this variable determines the risk of Lyme borreliosis to vertebrate hosts, including humans. Lyme borreliosis is caused by the bacterium Borrelia burgdorferi sensu lato (s.l.) and in western Europe, the hard tick Ixodes ricinus is the most important vector.

methodsOver a 15-year period (2004-2018), we monitored the monthly abundance of I. ricinus ticks (nymphs and adults) and their B. burgdorferi s.l. infection status at four different elevations on a mountain in western Switzerland. We collected climate variables in the field and from nearby weather stations. We obtained data on beech tree seed production (masting) from the literature, as the abundance of Ixodes nymphs can increase dramatically 2 years after a masting event. We used generalized linear mixed effects models and AIC-based model selection to identify the ecological factors that influence inter-annual variation in the nymphal infection prevalence (NIP) and the density of infected nymphs (DIN).

resultsWe found that the NIP decreased by 78% over the study period. Inter-annual variation in the NIP was explained by the mean precipitation in the present year, and the duration that the DNA extraction was stored in the freezer prior to pathogen detection. The DIN decreased over the study period at all four elevation sites, and the decrease was significant at the top elevation. Inter-annual variation in the DIN was best explained by elevation site, year, beech tree masting index 2 years prior and the mean relative humidity in the present year. This is the first study in Europe to demonstrate that seed production by deciduous trees influences the density of nymphs infected with B. burgdorferi s.l. and hence the risk of Lyme borreliosis.

conclusionsPublic health officials in Europe should be aware that masting by deciduous trees is an important predictor of the risk of Lyme borreliosis.

Indexed as

AnimalsBorrelia burgdorferi GroupClimateFagusFemaleForestsHumansIncidenceIxodesLyme DiseaseMaleNymphPopulation DensitySeedsSwitzerlandBeech treeBorrelia burgdorferiClimateFagus sylvaticusIxodes ricinusLyme borreliosisMastingTick-borne diseaseTick population ecology

Identifiers

PMID33743800
PMCPMC7980658
OpenAlexW3138743044

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.