A reproducible ensemble machine learning approach to forecast dengue outbreaks.
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| Title: | A reproducible ensemble machine learning approach to forecast dengue outbreaks. |
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| Authors: | Sebastianelli A; Engineering Department, University of Sannio, Benevento, Italy. alessandro.sebastianelli@esa.int.; European Space Agency, Φ-lab, Frascati, Italy. alessandro.sebastianelli@esa.int., Spiller D; School of Aerospace Engineering, Sapienza University of Rome, Rome, Italy., Carmo R; European Space Agency, Φ-lab, Frascati, Italy., Wheeler J; European Space Agency, Φ-lab, Frascati, Italy., Nowakowski A; Faculty of Geodesy and Cartography, Warsaw University of Technology, Warsaw, Poland., Jacobson LV; Statistics Department, Fluminense Federal University, Niterói, Brazil., Kim D; UNICEF, New York, NY, USA., Barlevi H; UNICEF, New York, NY, USA., Cordero ZER; UNICEF, New York, NY, USA., Colón-González FJ; Wellcome Trust, Data for Science and Health, London, UK.; Centre on Climate Change and Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.; Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK., Lowe R; Centre on Climate Change and Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.; Barcelona Supercomputing Center (BSC), Barcelona, Spain.; Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain., Ullo SL; Engineering Department, University of Sannio, Benevento, Italy., Schneider R; European Space Agency, Φ-lab, Frascati, Italy. rochelle.schneider@esa.int. |
| Source: | Scientific reports [Sci Rep] 2024 Feb 15; Vol. 14 (1), pp. 3807. Date of Electronic Publication: 2024 Feb 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-024-52796-9 |
