The utility of a maximum entropy species distribution model for Ixodes scapularis in predicting the public health risk of Lyme disease in Ontario, Canada.

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Title: The utility of a maximum entropy species distribution model for Ixodes scapularis in predicting the public health risk of Lyme disease in Ontario, Canada.
Authors: Burrows H; Yale School of Public Health, Yale University, New Haven, Connecticut, USA., Slatculescu AM; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada., Feng CX; Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada., Clow KM; Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada., Guillot C; Epidemiology of Zoonoses and Public Health Research Unit (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, Québec, Canada., Jardine CM; Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada., Leighton PA; Epidemiology of Zoonoses and Public Health Research Unit (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, Québec, Canada., Krause PJ; Yale School of Public Health, Yale University, New Haven, Connecticut, USA., Kulkarni MA; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada. Electronic address: manisha.kulkarni@uottawa.ca.
Source: Ticks and tick-borne diseases [Ticks Tick Borne Dis] 2022 Sep; Vol. 13 (5), pp. 101969. Date of Electronic Publication: 2022 May 21.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101522599 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1877-9603 (Electronic) Linking ISSN: 1877959X NLM ISO Abbreviation: Ticks Tick Borne Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1877-9603
DOI:10.1016/j.ttbdis.2022.101969