Evidence map›Paper›PMID 34376091›Full record

ArticleJournal of the Royal Society, Interface2021

Mechanistic movement models reveal ecological drivers of tick-borne pathogen spread.

Olivia Tardy, Catherine Bouchard, Eric Chamberland, André Fortin, Patricia Lamirande, Nicholas H Ogden, Patrick A Leighton

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Mathematical modelling for pandemic preparedness in Canada: Learning from COVID-19.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024
    Article
  7. Serological and Molecular Survey of Rickettsial Agents in Wild Boars (Animals : an open access journal from MDPI · 2024
    Article
  8. MERS-CoV Found inViruses · 2023
    Article
  9. 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 at 3 institutions in 1 country.

Olivia TardyResearch Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Québec, Canada J2S 2M2.
Catherine BouchardResearch Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Québec, Canada J2S 2M2.
Eric ChamberlandGroupe Interdisciplinaire de Recherche en Éléments Finis (GIREF), Department of Mathematics and Statistics, Faculty of Science and Engineering, Université Laval, 1045 avenue de la Médecine, Québec, Québec, Canada G1V 0A6.
André FortinGroupe Interdisciplinaire de Recherche en Éléments Finis (GIREF), Department of Mathematics and Statistics, Faculty of Science and Engineering, Université Laval, 1045 avenue de la Médecine, Québec, Québec, Canada G1V 0A6.
Patricia LamirandeGroupe Interdisciplinaire de Recherche en Éléments Finis (GIREF), Department of Mathematics and Statistics, Faculty of Science and Engineering, Université Laval, 1045 avenue de la Médecine, Québec, Québec, Canada G1V 0A6.
Nicholas H OgdenResearch Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Québec, Canada J2S 2M2.
Patrick A LeightonResearch Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Québec, Canada J2S 2M2.
Université Laval · CACentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal · CAPublic Health Agency of Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying ecological drivers of tick-borne pathogen spread has great value for tick-borne disease management. However, theoretical investigations into the consequences of host movement behaviour on pathogen spread dynamics in heterogeneous landscapes remain limited because spatially explicit epidemiological models that incorporate more realistic mechanisms governing host movement are rare. We built a mechanistic movement model to investigate how the interplay between multiple ecological drivers affects the risk of tick-borne pathogen spread across heterogeneous landscapes. We used the model to generate simulations of tick dispersal by migratory birds and terrestrial hosts across theoretical landscapes varying in resource aggregation, and we performed a sensitivity analysis to explore the impacts of different parameters on the infected tick spread rate, tick infection prevalence and infected tick density. Our findings highlight the importance of host movement and tick population dynamics in explaining the infected tick spread rate into new regions. Tick infection prevalence and infected tick density were driven by predictors related to the infection process and tick population dynamics, respectively. Our results suggest that control strategies aiming to reduce tick burden on tick reproduction hosts and encounter rate between immature ticks and pathogen amplification hosts will be most effective at reducing tick-borne disease risk.

Indexed as

Borrelia burgdorferiIxodesLyme DiseaseAnimalsBirdsboosted regression treeBorrelia burgdorferihost movementIxodes scapularisreaction–advection–diffusion modeltick-borne disease

Identifiers

PMID34376091
PMCPMC8355688
OpenAlexW3187697614

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.