Predicting the ecological niches of Aedes aegypti s.l. using maximum entropy in Kenya.
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| Title: | Predicting the ecological niches of Aedes aegypti s.l. using maximum entropy in Kenya. |
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| Authors: | Muchiri SK; Department of Geomatic Engineering and Geospatial Information Systems, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.; Population and Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.; Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium., Musau MM; Population and Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.; Institute of Life, Earth, and Environment (ILEE), University of Namur, Namur, Belgium.; Department of Public health, Institute of Tropical Medicine Antwerp, Antwerp, Belgium., Mwaniki P; Data and Statistics, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya., Kirimi F; Department of Geomatic Engineering and Geospatial Information Systems, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya., Agutu NO; Department of Geomatic Engineering and Geospatial Information Systems, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya., Okiro EA; Population and Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom., Dellicour S; Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium.; Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.; Interuniversity Institute of Bioinformatics in Brussels, Université Libre de Bruxelles, Vrije Universiteit Brussel, Brussels, Belgium., Snow RW; Population and Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom. |
| Source: | Frontiers in tropical diseases [Front Trop Dis] 2025 Oct 06; Vol. 6. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101779328 Publication Model: Print Cited Medium: Internet ISSN: 2673-7515 (Electronic) Linking ISSN: 26737515 NLM ISO Abbreviation: Front Trop Dis Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2673-7515 |
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| DOI: | 10.3389/fitd.2025.1641807 |
