Estimation of daily PM

Aerosols / analysis Air Pollutants / analysis Environmental Monitoring Italy Machine Learning Models, Spatial Interaction Particulate Matter / analysis Seasons
Aerosol optical depth Exposure assessment Machine learning Particulate matter Random forest Satellite

Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
03 2019
Historique:
received: 16 11 2018
revised: 04 01 2019
accepted: 06 01 2019
pubmed: 18 1 2019
medline: 11 7 2019
entrez: 18 1 2019
Statut: ppublish

Résumé

Particulate matter (PM) air pollution is one of the major causes of death worldwide, with demonstrated adverse effects from both short-term and long-term exposure. Most of the epidemiological studies have been conducted in cities because of the lack of reliable spatiotemporal estimates of particles exposure in nonurban settings. The objective of this study is to estimate daily PM

Identifiants

DOI: 10.1016/j.envint.2019.01.016 PMID: 30654325
pubmed: 30654325
pii: S0160-4120(18)32768-5
doi: 10.1016/j.envint.2019.01.016
pii:
doi:

Substances chimiques

Aerosols 0
Air Pollutants 0
Particulate Matter 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

170-179

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Massimo Stafoggia (M)

Department of Epidemiology, Lazio Regional Health Service/ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy; Karolinska Institutet, Institute of Environmental Medicine, Stockholm, Sweden. Electronic address: m.stafoggia@deplazio.it.

Tom Bellander (T)

Karolinska Institutet, Institute of Environmental Medicine, Stockholm, Sweden.

Simone Bucci (S)

Department of Epidemiology, Lazio Regional Health Service/ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy.

Marina Davoli (M)

Department of Epidemiology, Lazio Regional Health Service/ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy.

Kees de Hoogh (K)

Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.

Francesca De' Donato (F)

Department of Epidemiology, Lazio Regional Health Service/ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy.

Claudio Gariazzo (C)

INAIL, Department of Occupational & Environmental Medicine, Monteporzio Catone, Italy.

Alexei Lyapustin (A)

National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC), Greenbelt, MD, USA.

Paola Michelozzi (P)

Department of Epidemiology, Lazio Regional Health Service/ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy.

Matteo Renzi (M)

Department of Epidemiology, Lazio Regional Health Service/ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy.

Matteo Scortichini (M)

Department of Epidemiology, Lazio Regional Health Service/ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy.

Alexandra Shtein (A)

Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel.

Giovanni Viegi (G)

Institute of Biomedicine and Molecular Immunology "Alberto Monroy", National Research Council, Palermo, Italy.

Itai Kloog (I)

Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel.

Joel Schwartz (J)

Department of Environmental Health, Harvard T. H. Chan School of Public Health, Cambridge, MA, USA.

Articles similaires

Exploring blood-brain barrier passage using atomic weighted vector and machine learning.

Yoan Martínez-López, Paulina Phoobane, Yanaima Jauriga et al.
1.00
Blood-Brain Barrier Machine Learning Humans Support Vector Machine Software

The effect of medical face masks on inhalation risk of bacterial bioaerosols in hospital waste decontamination station.

Morvarid Boroumand Alipour, Mojtaba Davoudi, Hadi Farsiani et al.
1.00
Aerosols Humans Decontamination Air Microbiology Masks

Understanding the role of machine learning in predicting progression of osteoarthritis.

Simone Castagno, Benjamin Gompels, Estelle Strangmark et al.
1.00
Humans Disease Progression Machine Learning Osteoarthritis

Environmental impact assessment of Flora and its role in offsetting carbon along National Highway-16, India.

H Ramamohan, S Raminaidu, I Sudhakara Rao et al.
1.00
India Carbon Sequestration Environmental Monitoring Carbon Biomass

Classifications MeSH

questionsmedicales.fr › Préparations pharmaceutiques › Colloïdes › Aérosols › Estimation of daily PM
questionsmedicales.fr › Actions chimiques et utilisations › Actions toxiques › Polluants environnementaux › Polluants atmosphériques › Estimation of daily PM
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pratiques en santé publique › Surveillance de l'environnement › Estimation of daily PM
questionsmedicales.fr › Régions géographiques › Europe › Italie › Estimation of daily PM
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Apprentissage machine › Estimation of daily PM
questionsmedicales.fr › Techniques d'investigation › Modèles théoriques › Modèles d'interaction spatiale › Estimation of daily PM
questionsmedicales.fr › Mélanges complexes › Matière particulaire › Estimation of daily PM
questionsmedicales.fr › Environnement et santé publique › Environnement › Concepts météorologiques › Atmosphère › Climat › Saisons › Estimation of daily PM