Advancing outbreak detection: Hybridizing machine learning with wavelets for weekly dengue case forecasting.
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| Title: | Advancing outbreak detection: Hybridizing machine learning with wavelets for weekly dengue case forecasting. |
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| Authors: | Eligado AA; Department of Global Health Entrepreneurship, Institute of Science Tokyo, Tokyo, Japan.; Department of Epidemiology and Biostatistics, College of Public Health, University of the Philippines-Manila, Manila, Philippines., Hasegawa T; Department of Integrated Analytics, Medical and Dental Data Science Center, Institute of Science Tokyo, Tokyo, Japan., Hattori Y; Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan., Nakamura K; Department of Global Health Entrepreneurship, Institute of Science Tokyo, Tokyo, Japan. |
| Source: | PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2026 Jul 09; Vol. 20 (7), pp. e0014444. Date of Electronic Publication: 2026 Jul 09 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection Cited Medium: Internet ISSN: 1935-2735 (Electronic) Linking ISSN: 19352727 NLM ISO Abbreviation: PLoS Negl Trop Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1935-2735 |
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| DOI: | 10.1371/journal.pntd.0014444 |
