Potential reductions in premature mortality attributable to PM


Journal

Environmental pollution (Barking, Essex : 1987)
ISSN: 1873-6424
Titre abrégé: Environ Pollut
Pays: England
ID NLM: 8804476

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 29 04 2018
revised: 07 09 2018
accepted: 17 10 2018
pubmed: 16 11 2018
medline: 8 3 2019
entrez: 16 11 2018
Statut: ppublish

Résumé

China has one of the highest PM We aim to estimate the potential reduction in premature mortality by reducing indoor PM We combined PM A total of 74,000 (95% confidence interval (CI): 43,000-111,000) premature deaths were attributable to PM Reaching the National Class I level of indoor PM The avertable premature deaths gained from cleaning indoor PM

Sections du résumé

BACKGROUND BACKGROUND
China has one of the highest PM
OBJECTIVE OBJECTIVE
We aim to estimate the potential reduction in premature mortality by reducing indoor PM
METHODS METHODS
We combined PM
RESULTS RESULTS
A total of 74,000 (95% confidence interval (CI): 43,000-111,000) premature deaths were attributable to PM
CONCLUSIONS CONCLUSIONS
Reaching the National Class I level of indoor PM
MAIN FINDINGS RESULTS
The avertable premature deaths gained from cleaning indoor PM

Identifiants

pubmed: 30439636
pii: S0269-7491(18)31905-5
doi: 10.1016/j.envpol.2018.10.082
pii:
doi:

Substances chimiques

Particulate Matter 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

260-271

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

Wenjing Ji (W)

Department of Building Science, School of Architecture, Tsinghua University, Beijing, 100084, China.

Bin Zhou (B)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.

Bin Zhao (B)

Department of Building Science, School of Architecture, Tsinghua University, Beijing, 100084, China; Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing, 100084, China. Electronic address: binzhao@tsinghua.edu.cn.

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Classifications MeSH