Land use regression modelling of community noise in São Paulo, Brazil.

Brazil Environmental Exposure Geographic Information Systems Noise Regression Analysis Seasons
Community noise Land use regression Noise exposure Noise measurement São paulo

Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
08 2021
Historique:
received: 08 01 2021
revised: 20 04 2021
accepted: 22 04 2021
pubmed: 11 5 2021
medline: 2 7 2021
entrez: 10 5 2021
Statut: ppublish

Résumé

Noise pollution has negative health consequences, which becomes increasingly relevant with rapid urbanization. In low- and middle-income countries research on health effects of noise is hampered by scarce exposure data and noise maps. In this study, we developed land use regression (LUR) models to assess spatial variability of community noise in the Western Region of São Paulo, Brazil.We measured outdoor noise levels continuously at 42 homes once or twice for one week in the summer and the winter season. These measurements were integrated with various geographic information system variables to develop LUR models for predicting average A-weighted (dB(A)) day-evening-night equivalent sound levels (L

Identifiants

DOI: 10.1016/j.envres.2021.111231 PMID: 33971126
pubmed: 33971126
pii: S0013-9351(21)00525-9
doi: 10.1016/j.envres.2021.111231
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

111231

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Michelle Raess (M)

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

Alexandra Brentani (A)

Department of Pediatrics at the Medical School of São Paulo University, São Paulo, Brazil.

Bartolomeu Ledebur de Antas de Campos (B)

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

Benjamin Flückiger (B)

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

Kees de Hoogh (K)

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

Günther Fink (G)

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

Martin Röösli (M)

Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland. Electronic address: martin.roosli@swisstph.ch.

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Classifications MeSH

questionsmedicales.fr › Régions géographiques › Amériques › Amérique du Sud › Brésil › Land use regression modelling of community...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pollution de l'environnement › Exposition environnementale › Land use regression modelling of community...
questionsmedicales.fr › Sciences de l'information › Mémorisation et recherche des informations › Bases de données comme sujet › Bases de données factuelles › Systèmes d'information géographique › Land use regression modelling of community...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pollution de l'environnement › Bruit › Land use regression modelling of community...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de régression › Land use regression modelling of community...
questionsmedicales.fr › Environnement et santé publique › Environnement › Concepts météorologiques › Atmosphère › Climat › Saisons › Land use regression modelling of community...