Evidence map›Paper›PMID 24416435›Full record

ArticlePloS one2014

Geography, deer, and host biodiversity shape the pattern of Lyme disease emergence in the Thousand Islands Archipelago of Ontario, Canada.

Lisa Werden, Ian K Barker, Jeff Bowman, Emily K Gonzales, Patrick A Leighton, L Robbin Lindsay, Claire M Jardine

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 134 citations in OpenAlex.

  1. The ecology of Lyme disease: Long-term data, surprises, and a synthesis.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  2. Review
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  10. Pathogen presence, prevalence, and diversity inFrontiers in parasitology · 2023
    Article
  11. Article
  12. An eco-epidemiological modeling approach to investigate dilution effect in two different tick-borne pathosystems.Ecological applications : a publication of the Ecological Society of America · 2022
    Article
  13. Review
  14. Monitoring Risk: Tick andPathogens (Basel, Switzerland) · 2021
    Article
  15. Article
  16. Review
  17. Article
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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

7 authors at 6 institutions in 1 country.

Lisa WerdenDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada ; Parks Canada Agency, Thousand Islands National Park, Mallorytown, Ontario, Canada.
Ian K BarkerDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada ; Canadian Cooperative Wildlife Health Centre, Guelph, Ontario, Canada.
Jeff BowmanOntario Ministry of Natural Resources, Peterborough, Ontario, Canada.
Emily K GonzalesUniversity of Victoria, Victoria, British Columbia, Canada.
Patrick A LeightonDepartment of Pathology and Microbiology, Faulty of Veterinary Medicine, University of Montréal, Saint-Hyacinthe, Quebec, Canada.
L Robbin LindsayPublic Health Agency of Canada, Winnipeg, Manitoba, Canada.
Claire M JardineDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada ; Canadian Cooperative Wildlife Health Centre, Guelph, Ontario, Canada.
University of Guelph · CAMinistry of Natural Resources and Forestry · CAParks Canada · CAPublic Health Agency of Canada · CAUniversité de Montréal · CAUniversity of Victoria · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the Thousand Islands region of eastern Ontario, Canada, Lyme disease is emerging as a serious health risk. The factors that influence Lyme disease risk, as measured by the number of blacklegged tick (Ixodes scapularis) vectors infected with Borrelia burgdorferi, are complex and vary across eastern North America. Despite study sites in the Thousand Islands being in close geographic proximity, host communities differed and both the abundance of ticks and the prevalence of B. burgdorferi infection in them varied among sites. Using this archipelago in a natural experiment, we examined the relative importance of various biotic and abiotic factors, including air temperature, vegetation, and host communities on Lyme disease risk in this zone of recent invasion. Deer abundance and temperature at ground level were positively associated with tick abundance, whereas the number of ticks in the environment, the prevalence of B. burgdorferi infection, and the number of infected nymphs all decreased with increasing distance from the United States, the presumed source of this new endemic population of ticks. Higher species richness was associated with a lower number of infected nymphs. However, the relative abundance of Peromyscus leucopus was an important factor in modulating the effects of species richness such that high biodiversity did not always reduce the number of nymphs or the prevalence of B. burgdorferi infection. Our study is one of the first to consider the interaction between the relative abundance of small mammal hosts and species richness in the analysis of the effects of biodiversity on disease risk, providing validation for theoretical models showing both dilution and amplification effects. Insights into the B. burgdorferi transmission cycle in this zone of recent invasion will also help in devising management strategies as this important vector-borne disease expands its range in North America.

Indexed as

BiodiversityGeographyHost-Parasite InteractionsAnimalsBorrelia burgdorferiConfidence IntervalsDeerIslandsIxodesLinear ModelsLyme DiseaseNymphOntarioSeasonsSpecies Specificity

Identifiers

PMID24416435
PMCPMC3887107
OpenAlexW2063385932

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.