Development of a predictive model for PM2.5 over the greater Athens metropolitan area, Greece, at a 1 km by 1 km grid using satellite measurements and machine learning methods.

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Title: Development of a predictive model for PM2.5 over the greater Athens metropolitan area, Greece, at a 1 km by 1 km grid using satellite measurements and machine learning methods.
Authors: Chang S; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America., Samoli E; Department of Hygiene, Epidemiology, and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece., Diapouli E; Institute of Nuclear & Radiological Sciences and Technology, Energy & Safety, National Centre for Scientific Research 'Demokritos', Athens, Greece., Dimakopoulou K; Department of Hygiene, Epidemiology, and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.; Department of Basic and Clinical Sciences, Medical School, University of Nicosia, UNIC Athens, Athens, Greece., Alahmad B; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America., Koutrakis P; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Source: PloS one [PLoS One] 2026 Jul 06; Vol. 21 (7), pp. e0352975. Date of Electronic Publication: 2026 Jul 06 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Chang+S%22">Chang S</searchLink>; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.<br /><searchLink fieldCode="AU" term="%22Samoli+E%22">Samoli E</searchLink>; Department of Hygiene, Epidemiology, and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.<br /><searchLink fieldCode="AU" term="%22Diapouli+E%22">Diapouli E</searchLink>; Institute of Nuclear & Radiological Sciences and Technology, Energy & Safety, National Centre for Scientific Research 'Demokritos', Athens, Greece.<br /><searchLink fieldCode="AU" term="%22Dimakopoulou+K%22">Dimakopoulou K</searchLink>; Department of Hygiene, Epidemiology, and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.; Department of Basic and Clinical Sciences, Medical School, University of Nicosia, UNIC Athens, Athens, Greece.<br /><searchLink fieldCode="AU" term="%22Alahmad+B%22">Alahmad B</searchLink>; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.<br /><searchLink fieldCode="AU" term="%22Koutrakis+P%22">Koutrakis P</searchLink>; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Jul 06; Vol. 21 (7), pp. e0352975. <i>Date of Electronic Publication: </i>2026 Jul 06 (<i>Print Publication: </i>2026).
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