Correction: Particulate air pollution and mortality in 38 of China's largest cities: time series analysis

Maoyong Fan; Maorong Fan; Peng Yin; Maigeng Zhou; Chang Liu; Kowk Yan Chiu; An Xue; Quan Mu; Guojun He; Tong Liu; Yuhang Pan

doi:10.1136/bmj.j1379

Correction: Particulate air pollution and mortality in 38 of China's largest cities: time series analysis

Maoyong Fan
, Maorong Fan
, Peng Yin
, Maigeng Zhou
, Chang Liu
, Kowk Yan Chiu
, An Xue
, Quan Mu
, Guojun He
, Tong Liu
, Yuhang Pan

Research output: Other contribution › peer-review

3 Citations (Scopus)

Abstract

The authors of this Research paper (BMJ 2017;356:j667, doi:10. 1136/bmj.j667) have informed us of two errors. In the sentence, "A back-of-envelope calculation reveals that bringing China's PM10 level to the WHO standard-20ug/m3-would save 3 million premature deaths each year," 3 million should read 0.3 million. The affiliation for Tong Liu and Yuhang Pan should read, "Division of Environment, The Hong Kong University of Science and Technology, Hong Kong, China." These errors have now been rectified.

Original language	English
DOIs	https://doi.org/10.1136/bmj.j1379
Publication status	Published - 2017

Publication series

Name	BJM-British Medical Journal

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

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10.1136/bmj.j1379

Cite this

@misc{855a869266a5495b92826137ce4f1336,

title = "Correction: Particulate air pollution and mortality in 38 of China's largest cities: time series analysis",

abstract = "The authors of this Research paper (BMJ 2017;356:j667, doi:10. 1136/bmj.j667) have informed us of two errors. In the sentence, {"}A back-of-envelope calculation reveals that bringing China's PM10 level to the WHO standard-20ug/m3-would save 3 million premature deaths each year,{"} 3 million should read 0.3 million. The affiliation for Tong Liu and Yuhang Pan should read, {"}Division of Environment, The Hong Kong University of Science and Technology, Hong Kong, China.{"} These errors have now been rectified.",

author = "Maoyong Fan and Maorong Fan and Peng Yin and Maigeng Zhou and Chang Liu and Chiu, \{Kowk Yan\} and An Xue and Quan Mu and Guojun He and Tong Liu and Yuhang Pan",

year = "2017",

doi = "10.1136/bmj.j1379",

language = "English",

series = "BJM-British Medical Journal",

type = "Other",

}

TY - GEN

T1 - Correction: Particulate air pollution and mortality in 38 of China's largest cities: time series analysis

AU - Fan, Maoyong

AU - Fan, Maorong

AU - Yin, Peng

AU - Zhou, Maigeng

AU - Liu, Chang

AU - Chiu, Kowk Yan

AU - Xue, An

AU - Mu, Quan

AU - He, Guojun

AU - Liu, Tong

AU - Pan, Yuhang

PY - 2017

Y1 - 2017

N2 - The authors of this Research paper (BMJ 2017;356:j667, doi:10. 1136/bmj.j667) have informed us of two errors. In the sentence, "A back-of-envelope calculation reveals that bringing China's PM10 level to the WHO standard-20ug/m3-would save 3 million premature deaths each year," 3 million should read 0.3 million. The affiliation for Tong Liu and Yuhang Pan should read, "Division of Environment, The Hong Kong University of Science and Technology, Hong Kong, China." These errors have now been rectified.

AB - The authors of this Research paper (BMJ 2017;356:j667, doi:10. 1136/bmj.j667) have informed us of two errors. In the sentence, "A back-of-envelope calculation reveals that bringing China's PM10 level to the WHO standard-20ug/m3-would save 3 million premature deaths each year," 3 million should read 0.3 million. The affiliation for Tong Liu and Yuhang Pan should read, "Division of Environment, The Hong Kong University of Science and Technology, Hong Kong, China." These errors have now been rectified.

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000397015900011

UR - https://openalex.org/W4233059804

U2 - 10.1136/bmj.j1379

DO - 10.1136/bmj.j1379

M3 - Other contribution

T3 - BJM-British Medical Journal

ER -

Correction: Particulate air pollution and mortality in 38 of China's largest cities: time series analysis

Abstract

Publication series

UN SDGs

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