Lyme disease is the most common vector-borne disease in the United States and Canada. The primary vector for the causative agent of Lyme disease, Borrelia burgdorferi, in the Pacific Northwest is the western blacklegged tick, Ixodes pacificus. Using active tick surveillance data from British Columbia, Canada, and Washington State, USA, habitat suitability models using MaxEnt (maximum entropy) were developed for to predict its current and mid-century geographic distributions. Passive surveillance data both from BC and WA were also visualized. According to the constructed models, the number of frost-free days during the winter is the most relevant predictor of its habitat suitability, followed by summer climate moisture, ecoregion, and mean minimum fall temperature. The ensemble geographic distribution map predicts that the coastal regions and inland valleys of British Columbia and the Puget Lowlands of Washington State provide the most suitable habitats for . The density map of ticks submitted from passive surveillance data was overlaid on the current distribution map and demonstrates the correlation between numbers of submissions and habitat suitability. Mid-century projections, based on current climate change predictions, indicate a range expansion, especially of low and moderate suitability, from current distribution. Regarding Lyme disease risk, identified from both active and passive surveillance and tested positive for were found to be in areas of moderate to very high suitability for . According to developed models, the total suitable habitat area for will expand in the interior regions of British Columbia and Washington State. However, the risk remains small given relatively low infection rates among . Further studies are required to better understand how this might change in the future.

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http://dx.doi.org/10.1089/vbz.2024.0025DOI Listing

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