ArticleVector borne and zoonotic diseases (Larchmont, N.Y.)2018
High-Resolution Ecological Niche Modeling of Ixodes scapularis Ticks Based on Passive Surveillance Data at the Northern Frontier of Lyme Disease Emergence in North America.
Article in Vector borne and zoonotic diseases (Larchmont, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.
- A systematic review of the effectiveness and utility of Lyme disease prevention measures in Canada, the United States, and Europe.BMC infectious diseases · 2025Pooled it
- Comparison of tick surveillance approaches: Utilizing trailhead tick-check stations to support tick surveillance and community education.bioRxiv : the preprint server for biology · 2026Article
- Comparison of tick surveillance approaches: utilizing trailhead tick-check stations to support tick surveillance and community education.Frontiers in public health · 2026Article
- Rapid Northward Expansion of the Blacklegged Tick, Ixodes scapularis, in Response to Climate Change.Global change biology · 2025Article
- Distribution Patterns and Ecological Determinants of Suitable Habitats for the Dhole (Animals : an open access journal from MDPI · 2025Article
- Predicting the potential distribution areas ofFrontiers in public health · 2025Article
- Models and data used to predict the abundance and distribution ofLancet regional health. Americas · 2024Article
- Identification of habitat suitability for the dominant zoonotic tick speciesScience in One Health · 2024Article
- Predicting the potential global distribution of Ixodes pacificus under climate change.PloS one · 2024Article
- Comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick-borne disease incidence.Ticks and tick-borne diseases · 2023Article
- Passive Surveillance of Human-BitingInternational journal of environmental research and public health · 2023Article
- Effects of Climate on the Variation in Abundance of Three Tick Species in Illinois.Journal of medical entomology · 2022Article
- Occupational Lyme Disease: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2022Review
- A Geographic Information System Approach to Map Tick Exposure Risk at a Scale for Public Health Intervention.Journal of medical entomology · 2022Article
- Projecting the Potential Distribution Areas ofBiology · 2022Article
- Estimating disease vector population size from citizen science data.Journal of the Royal Society, Interface · 2021Article
- Monitoring Risk: Tick andPathogens (Basel, Switzerland) · 2021Article
- Addressing the global snakebite crisis with geo-spatial analyses - Recent advances and future direction.Toxicon: X · 2021Article
- Statewide Passive Surveillance ofVector borne and zoonotic diseases (Larchmont, N.Y.) · 2021Article
- The Potential Distribution ofFrontiers in veterinary science · 2021Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundLyme disease (LD) is a bacterial infection transmitted by the black-legged tick (Ixodes scapularis) in eastern North America. It is an emerging disease in Canada due to the expanding range of its tick vector. Environmental risk maps for LD, based on the distribution of the black-legged tick, have focused on coarse determinants such as climate. However, climatic factors vary little within individual health units, the level at which local public health decision-making takes place. We hypothesize that high-resolution environmental data and routinely collected passive surveillance data can be used to develop valid models for tick occurrence and provide insight into ecological processes affecting tick presence at fine scales.
methodsWe used a maximum entropy algorithm (MaxEnt) to build a habitat suitability model for I. scapularis in Ottawa, Ontario, Canada using georeferenced occurrence points from passive surveillance data collected between 2013 and 2016 and high-resolution land cover and elevation data. We evaluated our model using an independent tick presence/absence dataset collected through active surveillance at 17 field sites during the summer of 2017.
resultsOur model showed a good ability to discriminate positive sites from negative sites for tick presence (AUC = 0.878 ± 0.019, classification accuracy = 0.835 ± 0.020). Heavily forested suburban and rural areas in the west and southwest of Ottawa had higher predicted suitability than the more agricultural eastern areas.
conclusionsThis study demonstrates the value of passive surveillance data to model local-scale environmental risk for the tick vector of LD at sites of interest to public health. Given the rising incidence of LD and other emerging vector-borne diseases in Canada, our findings support the ongoing collection of these data and collaboration with researchers to provide a timely and accurate portrait of evolving public health risk.
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Registered trials
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