Author
Listed:
- Shaohua Gu
(Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China
These authors contributed equally to this work.)
- Jun Yang
(Institute for Environmental and Climate Research, Jinan University, Guangzhou 510000, China
These authors contributed equally to this work.)
- Alistair Woodward
(School of Population Health, University of Auckland, Auckland 92019, New Zealand)
- Mengmeng Li
(Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China)
- Tianfeng He
(Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China)
- Aihong Wang
(Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China)
- Beibei Lu
(Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China)
- Xiaobo Liu
(State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China)
- Guozhang Xu
(Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China)
- Qiyong Liu
(State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China)
Abstract
Few studies have been conducted to investigate the acute health effects of visibility and haze, which may be regarded as proxy indicators of ambient air pollution. We used a distributed lag non-linear model (DLNM) combined with quasi-Poisson regression to estimate the relationship between visibility, haze and mortality in Ningbo, a coastal city of China. We found that the mortality risk of visibility was statistically significant only on the current day, while the risk of haze and PM 10 peaked on the second day and could last for three days. When the visibility was less than 10 km, each 1 km decrease of visibility at lag 0 day was associated with a 0.78% (95% CI: 0.22–1.36%) increase in total mortality and a 1.61% (95% CI: 0.39–2.85%) increase in respiratory mortality. The excess risk of haze at lag 0–2 days on total mortality, cardiovascular and respiratory mortality was 7.76% (95% CI: 3.29–12.42%), 7.73% (95% CI: 0.12–15.92%) and 17.77% (95% CI: 7.64–28.86%), respectively. Greater effects of air pollution were observed during the cold season than in the warm season, and the elderly were at higher risk compared to youths. The effects of visibility and haze were attenuated by single pollutants. These findings suggest that visibility and haze could be used as surrogates of air quality where pollutant data are scarce, and strengthen the evidence to develop policy to control air pollution and protect vulnerable populations.
Suggested Citation
Shaohua Gu & Jun Yang & Alistair Woodward & Mengmeng Li & Tianfeng He & Aihong Wang & Beibei Lu & Xiaobo Liu & Guozhang Xu & Qiyong Liu, 2017.
"The Short-Term Effects of Visibility and Haze on Mortality in a Coastal City of China: A Time-Series Study,"
IJERPH, MDPI, vol. 14(11), pages 1-11, November.
Handle:
RePEc:gam:jijerp:v:14:y:2017:i:11:p:1419-:d:119643
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