globalchange  > 气候变化事实与影响
DOI: 10.1289/ehp.1408218
论文题名:
Commuting-Adjusted Short-Term Health Impact Assessment of Airborne Fine Particles with Uncertainty Quantification via Monte Carlo Simulation
作者: Michela Baccini; 1; 2 Laura Grisotto; 1 Dolores Catelan; 1; 2 Dario Consonni; 3 Pier Alberto Bertazzi; 3; 4; Annibale Biggeri1; 2
刊名: Environmental Health Perspectives
ISSN: 0091-7137
出版年: 2015
卷: Volume 123, 期:Issue 1
起始页码: 27
语种: 英语
英文摘要: Background: Exposure to air pollution is associated with a short-term increase in mortality, and this field has begun to focus on health impact assessment.

Objectives: Our aim was to estimate the impact of PM10 on mortality within 2 days from the exposure in the Italian region of Lombardy for the year 2007, at the municipality level, examining exposure entailed by daily intermunicipality commuting and accounting for uncertainty propagation.

Methods: We combined data from different sources to derive probabilistic distributions for all input quantities used to calculate attributable deaths (mortality rates, PM10 concentrations, estimated PM10 effects, and commuting flows) and applied a Monte Carlo procedure to propagate uncertainty and sample the distribution of attributable deaths for each municipality.

Results: We estimated that annual average PM10 concentrations above the World Health Organization-recommended threshold of 20 μg/m3 were responsible for 865 short-term deaths (80% credibility interval: 475, 1,401), 26% of which were attributable to PM10 above the European Union limit of 40 μg/m3. Reducing annual average PM10 concentrations > 20 μg/m3 by 20% would have reduced the number of attributable deaths by 36%. The largest estimated impacts were along the basin of the Po River and in the largest cities. Commuting contributed to the spatial distribution of the estimated impact.

Conclusions: Our estimates, which incorporated uncertainty quantification, indicate that the short-term impact of PM10 on mortality in Lombardy in 2007 was notable, and that reduction in air pollution would have had a substantial beneficial effect on population health. Using commuting data helped to identify critical areas for prioritizing intervention.
URL: https://ehp.niehs.nih.gov/1408218
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/12468
Appears in Collections:气候变化事实与影响
气候变化与战略

Files in This Item:
File Name/ File Size Content Type Version Access License
ehp.1408218.alt.pdf(2957KB)期刊论文作者接受稿开放获取View Download

作者单位: 1Department of Statistics, Informatics and Applications “G. Parenti,” University of Florence, Florence, Italy; 2Biostatistics Unit, Cancer Prevention and Research Institute (ISPO), Florence, Italy; 3Epidemiology Unit, Department of Preventive Medicine, Fondazione IRCCS (Istituto Di Ricovero e Cura a Carattere Scientifico) Ca` Granda, Ospedale Maggiore Policlinico, Milan, Italy; 4Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy

Recommended Citation:
Michela Baccini,1,2 Laura Grisotto,et al. Commuting-Adjusted Short-Term Health Impact Assessment of Airborne Fine Particles with Uncertainty Quantification via Monte Carlo Simulation[J]. Environmental Health Perspectives,2015-01-01,Volume 123(Issue 1):27
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Michela Baccini]'s Articles
[1]'s Articles
[2 Laura Grisotto]'s Articles
百度学术
Similar articles in Baidu Scholar
[Michela Baccini]'s Articles
[1]'s Articles
[2 Laura Grisotto]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Michela Baccini]‘s Articles
[1]‘s Articles
[2 Laura Grisotto]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: ehp.1408218.alt.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.