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. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35640345 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The utility of a maximum entropy species distribution model for Ixodes scapularis in predicting the public health risk of Lyme disease in Ontario, Canada. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Burrows+H%22">Burrows H</searchLink>; Yale School of Public Health, Yale University, New Haven, Connecticut, USA.<br /><searchLink fieldCode="AU" term="%22Slatculescu+AM%22">Slatculescu AM</searchLink>; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.<br /><searchLink fieldCode="AU" term="%22Feng+CX%22">Feng CX</searchLink>; Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada.<br /><searchLink fieldCode="AU" term="%22Clow+KM%22">Clow KM</searchLink>; Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.<br /><searchLink fieldCode="AU" term="%22Guillot+C%22">Guillot C</searchLink>; Epidemiology of Zoonoses and Public Health Research Unit (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, Québec, Canada.<br /><searchLink fieldCode="AU" term="%22Jardine+CM%22">Jardine CM</searchLink>; Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.<br /><searchLink fieldCode="AU" term="%22Leighton+PA%22">Leighton PA</searchLink>; Epidemiology of Zoonoses and Public Health Research Unit (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, Québec, Canada.<br /><searchLink fieldCode="AU" term="%22Krause+PJ%22">Krause PJ</searchLink>; Yale School of Public Health, Yale University, New Haven, Connecticut, USA.<br /><searchLink fieldCode="AU" term="%22Kulkarni+MA%22">Kulkarni MA</searchLink>; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada. Electronic address: manisha.kulkarni@uottawa.ca. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101522599%22">Ticks and tick-borne diseases</searchLink> [Ticks Tick Borne Dis] 2022 Sep; Vol. 13 (5), pp. 101969. <i>Date of Electronic Publication: </i>2022 May 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101522599 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1877-9603 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221877959X%22">1877959X </searchLink><i>NLM ISO Abbreviation: </i>Ticks Tick Borne Dis <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35640345 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ttbdis.2022.101969 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 101969 Titles: – TitleFull: The utility of a maximum entropy species distribution model for Ixodes scapularis in predicting the public health risk of Lyme disease in Ontario, Canada. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burrows H – PersonEntity: Name: NameFull: Slatculescu AM – PersonEntity: Name: NameFull: Feng CX – PersonEntity: Name: NameFull: Clow KM – PersonEntity: Name: NameFull: Guillot C – PersonEntity: Name: NameFull: Jardine CM – PersonEntity: Name: NameFull: Leighton PA – PersonEntity: Name: NameFull: Krause PJ – PersonEntity: Name: NameFull: Kulkarni MA IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2022 Sep Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1877-9603 Numbering: – Type: volume Value: 13 – Type: issue Value: 5 Titles: – TitleFull: Ticks and tick-borne diseases Type: main |
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