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Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments.

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Title: Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments.
Authors: Trujillano F; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK. Fedra.Trujillano@glasgow.ac.uk.; School of Geographical & Earth Sciences, University of Glasgow, Glasgow, Scotland, UK. Fedra.Trujillano@glasgow.ac.uk., Jimenez G; Sorbonne Université, Institute du Cerveau - ICM, CNRS, Inria, AP-HP, Paris, Inserm, France., Manrique E; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK., Kahamba NF; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK.; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara, Tanzania., Okumu F; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK.; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara, Tanzania., Apollinaire N; Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso., Carrasco-Escobar G; Health Innovation Laboratory, Institute of Tropical Medicine 'Alexander von Humboldt', Universidad Peruana Cayetano Heredia, Lima, Peru., Barrett B; School of Geographical & Earth Sciences, University of Glasgow, Glasgow, Scotland, UK., Fornace K; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK.; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Source: International journal of health geographics [Int J Health Geogr] 2024 May 19; Vol. 23 (1), pp. 13. Date of Electronic Publication: 2024 May 19.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101152198 Publication Model: Electronic Cited Medium: Internet ISSN: 1476-072X (Electronic) Linking ISSN: 1476072X NLM ISO Abbreviation: Int J Health Geogr Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments.
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  Data: <searchLink fieldCode="AU" term="%22Trujillano+F%22">Trujillano F</searchLink>; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK. Fedra.Trujillano@glasgow.ac.uk.; School of Geographical & Earth Sciences, University of Glasgow, Glasgow, Scotland, UK. Fedra.Trujillano@glasgow.ac.uk.<br /><searchLink fieldCode="AU" term="%22Jimenez+G%22">Jimenez G</searchLink>; Sorbonne Université, Institute du Cerveau - ICM, CNRS, Inria, AP-HP, Paris, Inserm, France.<br /><searchLink fieldCode="AU" term="%22Manrique+E%22">Manrique E</searchLink>; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK.<br /><searchLink fieldCode="AU" term="%22Kahamba+NF%22">Kahamba NF</searchLink>; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK.; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara, Tanzania.<br /><searchLink fieldCode="AU" term="%22Okumu+F%22">Okumu F</searchLink>; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK.; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara, Tanzania.<br /><searchLink fieldCode="AU" term="%22Apollinaire+N%22">Apollinaire N</searchLink>; Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso.<br /><searchLink fieldCode="AU" term="%22Carrasco-Escobar+G%22">Carrasco-Escobar G</searchLink>; Health Innovation Laboratory, Institute of Tropical Medicine 'Alexander von Humboldt', Universidad Peruana Cayetano Heredia, Lima, Peru.<br /><searchLink fieldCode="AU" term="%22Barrett+B%22">Barrett B</searchLink>; School of Geographical & Earth Sciences, University of Glasgow, Glasgow, Scotland, UK.<br /><searchLink fieldCode="AU" term="%22Fornace+K%22">Fornace K</searchLink>; School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK.; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
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  Data: <searchLink fieldCode="JN" term="%22101152198%22">International journal of health geographics</searchLink> [Int J Health Geogr] 2024 May 19; Vol. 23 (1), pp. 13. <i>Date of Electronic Publication: </i>2024 May 19.
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        Value: 10.1186/s12942-024-00371-w
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              Text: 2024 May 19
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