Evidence map›Paper›PMID 18498647›Full record

ArticleInternational journal of health geographics2008

Risk maps for range expansion of the Lyme disease vector, Ixodes scapularis, in Canada now and with climate change.

Nicholas H Ogden, Laurie St-Onge, Ian K Barker, Stéphanie Brazeau, Michel Bigras-Poulin, Dominique F Charron, Charles M Francis, Audrey Heagy, L Robbin Lindsay, Abdel Maarouf and 5 more

Abstract read
In one paragraph

Article in International journal of health geographics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 2 pooled it
–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

112 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. A Set of Rapid Diagnostic Tool for Babesia microti Infection.Journal of clinical laboratory analysis · 2025
    Article
  8. Article
  9. Article
  10. Article
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  12. Review
  13. Current and future burden from Lyme disease in Québec as a result of climate change.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Digital health for climate change mitigation and response: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article

52 more citing papers are in PubMed but not listed here.

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

15 authors.

Nicholas H OgdenCentre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Saint-Hyacinthe, Québec, Canada. nicholas.ogden@umontreal.ca
Laurie St-Onge
Ian K Barker
Stéphanie Brazeau
Michel Bigras-Poulin
Dominique F Charron
Charles M Francis
Audrey Heagy
L Robbin Lindsay
Abdel Maarouf
Pascal Michel
François Milord
Christopher J O'Callaghan
Louise Trudel
R Alex Thompson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLyme disease is the commonest vector-borne zoonosis in the temperate world, and an emerging infectious disease in Canada due to expansion of the geographic range of the tick vector Ixodes scapularis. Studies suggest that climate change will accelerate Lyme disease emergence by enhancing climatic suitability for I. scapularis. Risk maps will help to meet the public health challenge of Lyme disease by allowing targeting of surveillance and intervention activities.

resultsA risk map for possible Lyme endemicity was created using a simple risk algorithm for occurrence of I. scapularis populations. The algorithm was calculated for each census sub-division in central and eastern Canada from interpolated output of a temperature-driven simulation model of I. scapularis populations and an index of tick immigration. The latter was calculated from estimates of tick dispersion distances by migratory birds and recent knowledge of the current geographic range of endemic I. scapularis populations. The index of tick immigration closely predicted passive surveillance data on I. scapularis occurrence, and the risk algorithm was a significant predictor of the occurrence of I. scapularis populations in a prospective field study. Risk maps for I. scapularis occurrence in Canada under future projected climate (in the 2020s, 2050s and 2080s) were produced using temperature output from the Canadian Coupled Global Climate Model 2 with greenhouse gas emission scenario enforcing 'A2' of the Intergovernmental Panel on Climate Change.

conclusionWe have prepared risk maps for the occurrence of I. scapularis in eastern and central Canada under current and future projected climate. Validation of the risk maps provides some confidence that they provide a useful first step in predicting the occurrence of I. scapularis populations, and directing public health objectives in minimizing risk from Lyme disease. Further field studies are needed, however, to continue validation and refinement of the risk maps.

Indexed as

Greenhouse EffectAlgorithmsAnimal MigrationAnimalsArachnid VectorsBirdsCanadaGeographic Information SystemsHumansIxodesLogistic ModelsLyme DiseaseMaps as TopicRisk AssessmentRodentiaTick Infestations

Identifiers

PMID18498647
PMCPMC2412857

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Registered trials

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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.