Evidence map›Paper›PMID 31723147›Full record

ArticleScientific reports2019

Landscape determinants of density of blacklegged ticks, vectors of Lyme disease, at the northern edge of their distribution in Canada.

Benoit Talbot, Andreea Slatculescu, Charles R Thickstun, Jules K Koffi, Patrick A Leighton, Roman McKay, Manisha A Kulkarni

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

22 citing papers in PubMed.

  1. Article
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  11. Article
  12. Review
  13. Mapping the risk distribution ofEmerging microbes & infections · 2022
    Article
  14. Review
  15. Predicting spatio-temporal population patterns ofThe Journal of applied ecology · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Monitoring Risk: Tick andPathogens (Basel, Switzerland) · 2021
    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

7 authors.

Benoit TalbotSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada. benoit.talbot@uottawa.ca.ORCID http://orcid.org/0000-0002-3567-1213
Andreea SlatculescuSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Charles R ThickstunSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Jules K KoffiCentre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Saint-Hyacinthe, QC, Canada.
Patrick A LeightonDepartment of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, Sainte-Hyacinthe, QC, Canada.
Roman McKaySchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Manisha A KulkarniSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.

Funding

CIHR
6 · The paper itself

Abstract

In eastern North America, including Canada, Lyme disease is caused by Borrelia burgdorferi sensu stricto and transmitted to humans by the blacklegged tick, Ixodes scapularis. The last decade has seen a growing incidence of Lyme disease in Canada, following the northward range expansion of I. scapularis tick populations from endemic areas in eastern United States. This may be attributable to movement of the many hosts that they parasitize, including songbirds, deer and small mammals. In this study, we wanted to test the effect of spatial, temporal and ecological variables, on blacklegged tick density and infection rates, near the northern limit of their distribution in Ontario and Quebec, Canada. We found an effect of both proportion of forested areas and distance to roads, on density of I. scapularis ticks and prevalence of infection by B. burgdorferi. We also found an effect of both sampling year and ordinal sampling data on prevalence of infection by B. burgdorferi. In six adjacent sites showing evidence of reproducing I. scapularis populations, we found that forest composition and structure influenced density of I. scapularis ticks. Our results suggest that blacklegged tick density and infection rate in Canada may be influenced by a variety of factors.

Indexed as

AnimalsArachnid VectorsBird DiseasesBorrelia burgdorferiDeerIxodesLyme DiseasePopulation DensityPrevalenceQuebecSongbirdsTick Infestations

Identifiers

PMID31723147
PMCPMC6853933

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.