A machine learning framework for estimating the probability of blacklegged tick population establishment in eastern Canada using Earth observation data

Author:

Ghanbari, H, Siebels, K, Dumas, A, Acheson, ES, Bouchard, C, Crandall, KE, Leighton, PA, Ogden, NH, and Rees, EE

Publication type:

Journal Article

Publication date:

2025-09

Journal/Series title:

PLoS One

Volume:

Issue:

Pages:

e0332582

URL:

https://pmc.ncbi.nlm.nih.gov/articles/PMC12453211/

Abstract:

By integrating ML with open access EO data, this study demonstrates that accurate, easily updatable risk maps can be produced to support public health management of LD, and more broadly, the growing threat of tick-borne diseases in a changing climate.