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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.
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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  Data: <searchLink fieldCode="AU" term="%22Eligado+AA%22">Eligado AA</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Hasegawa+T%22">Hasegawa T</searchLink>; Department of Integrated Analytics, Medical and Dental Data Science Center, Institute of Science Tokyo, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Hattori+Y%22">Hattori Y</searchLink>; Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.<br /><searchLink fieldCode="AU" term="%22Nakamura+K%22">Nakamura K</searchLink>; Department of Global Health Entrepreneurship, Institute of Science Tokyo, Tokyo, Japan.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101291488 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1935-2735 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219352727%22">19352727 </searchLink><i>NLM ISO Abbreviation: </i>PLoS Negl Trop Dis <i>Subsets: </i>MEDLINE
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        Value: 10.1371/journal.pntd.0014444
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        Text: English
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        StartPage: e0014444
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      – TitleFull: Advancing outbreak detection: Hybridizing machine learning with wavelets for weekly dengue case forecasting.
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              Text: 2026 Jul 09
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              Y: 2026
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