Machine Learning-Based Geospatial Risk Modeling of Global Avian Influenza Outbreaks.
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| Title: | Machine Learning-Based Geospatial Risk Modeling of Global Avian Influenza Outbreaks. |
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| Authors: | Jindal M; School of Civil and Environmental Engineering, University of New South Wales, Sydney, 2052, New South Wales, Australia, unsw.edu.au.; Biosecurity Program, Kirby Institute, University of New South Wales, Sydney, 2052, New South Wales, Australia, unsw.edu.au., Lim S; School of Civil and Environmental Engineering, University of New South Wales, Sydney, 2052, New South Wales, Australia, unsw.edu.au.; Biosecurity Program, Kirby Institute, University of New South Wales, Sydney, 2052, New South Wales, Australia, unsw.edu.au., MacIntyre CR; Biosecurity Program, Kirby Institute, University of New South Wales, Sydney, 2052, New South Wales, Australia, unsw.edu.au.; College of Health Solutions and College of Public Service and Community Solutions, Arizona State University, Tempe, USA, asu.edu. |
| Source: | Transboundary and emerging diseases [Transbound Emerg Dis] 2026 Apr 20; Vol. 2026, pp. 6615342. Date of Electronic Publication: 2026 Apr 20 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Verlag Country of Publication: Germany NLM ID: 101319538 Publication Model: eCollection Cited Medium: Internet ISSN: 1865-1682 (Electronic) Linking ISSN: 18651674 NLM ISO Abbreviation: Transbound Emerg Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1865-1682 |
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| DOI: | 10.1155/tbed/6615342 |
