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2015-2018 年中国近地面臭氧短期暴露所致健康负担和经济损失的时空评估。

Spatiotemporal assessment of health burden and economic losses attributable to short-term exposure to ground-level ozone during 2015-2018 in China.

机构信息

Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16 Section 3, Renmin South Road, Chengdu, 610044, China.

出版信息

BMC Public Health. 2021 Jun 5;21(1):1069. doi: 10.1186/s12889-021-10751-7.

DOI:10.1186/s12889-021-10751-7
PMID:34090376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8178864/
Abstract

BACKGROUND

Ground-level ozone (O) pollution is currently the one of the severe environmental problems in China. Although existing studies have quantified the O-related health impact and economic loss, few have focused on the acute health effects of short-term exposure to O and have been limited to a single temporal and spatial dimension.

METHODS

Based on the O concentration obtained from ground monitoring networks in 334 Chinese cities in 2015-2018, this study used a two-stage exposure parameter weighted Log-linear exposure-response function to estimate the cause-specific mortality for short-term exposure to O.

RESULTS

The value of statistical life (VSL) method that were used to calculate the economic loss at the city-level. Our results show that in China, the national all-cause mortality attributed to O was 0.27(95% CI: 0.14-0.55) to 0.39 (95% CI: 0.20-0.67) million across 2015-2018. The estimated economic loss caused by O was 387.76 (95% CI: 195.99-904.50) to 594.08 (95% CI: 303.34-1140.65) billion CNY, accounting for 0.52 to 0.69% of total reported GDP. Overall, the O attributed health and economic burden has begun to decline in China since 2017. However, highly polluted areas still face severe burden, and undeveloped areas suffer from high GDP losses.

CONCLUSIONS

There are substantial health impacts and economic losses related to short-term O exposure in China. The government should pay attention to the emerging ozone pollution, and continue to strengthen the intervention in traditional priority areas while solving the pollution problem in non-priority areas.

摘要

背景

目前,中国面临的严重环境问题之一是地面臭氧(O)污染。尽管现有研究已经量化了 O 相关的健康影响和经济损失,但很少有研究关注短期暴露于 O 对健康的急性影响,且局限于单一的时间和空间维度。

方法

本研究基于 2015-2018 年中国 334 个城市地面监测网络获取的 O 浓度数据,采用两阶段暴露参数加权对数线性暴露反应函数来估计短期 O 暴露引起的特定原因死亡率。

结果

本研究使用了价值统计生命(VSL)方法来计算城市层面的经济损失。结果表明,在中国,2015-2018 年,O 导致的全国全因死亡率为 0.27(95%置信区间:0.14-0.55)至 0.39(95%置信区间:0.20-0.67)百万例。估计 O 造成的经济损失为 387.76(95%置信区间:195.99-904.50)至 594.08(95%置信区间:303.34-1140.65)亿元人民币,占总报告 GDP 的 0.52%至 0.69%。总体而言,自 2017 年以来,中国与 O 短期暴露相关的健康和经济负担开始下降。然而,高污染地区仍面临着严重的负担,欠发达地区则面临着高 GDP 损失。

结论

中国短期 O 暴露对健康造成了重大影响,也带来了经济损失。政府应关注新兴的臭氧污染问题,在继续加强对传统优先地区干预的同时,解决非优先地区的污染问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17d9/8178864/83b9e763100f/12889_2021_10751_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17d9/8178864/1de03207bdf8/12889_2021_10751_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17d9/8178864/83b9e763100f/12889_2021_10751_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17d9/8178864/1de03207bdf8/12889_2021_10751_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17d9/8178864/2e059fe40dc2/12889_2021_10751_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17d9/8178864/8ad1a4e41422/12889_2021_10751_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17d9/8178864/83b9e763100f/12889_2021_10751_Fig7_HTML.jpg

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本文引用的文献

1
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Natl Sci Rev. 2020 Aug;7(8):1331-1339. doi: 10.1093/nsr/nwaa032. Epub 2020 Feb 28.
2
Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.204 个国家和地区 1990-2019 年 87 种风险因素的全球负担:2019 年全球疾病负担研究的系统分析。
Lancet. 2020 Oct 17;396(10258):1223-1249. doi: 10.1016/S0140-6736(20)30752-2.
3
Health impacts of long-term ozone exposure in China over 2013-2017.
基于机器学习的近地表臭氧预测模型,融合行星边界层信息。
Sensors (Basel). 2022 Oct 16;22(20):7864. doi: 10.3390/s22207864.
4
Editorial: Ozone as a Driver of Lung Inflammation and Innate Immunity and as a Model for Lung Disease.社论:臭氧作为肺部炎症和固有免疫的驱动因素以及肺部疾病的模型
Front Immunol. 2021 Jun 30;12:714161. doi: 10.3389/fimmu.2021.714161. eCollection 2021.
中国 2013-2017 年期间长期臭氧暴露对健康的影响。
Environ Int. 2020 Nov;144:106030. doi: 10.1016/j.envint.2020.106030. Epub 2020 Aug 13.
4
Short term association between ozone and mortality: global two stage time series study in 406 locations in 20 countries.臭氧与死亡率的短期关联:20 个国家 406 个地点的全球两阶段时间序列研究。
BMJ. 2020 Feb 10;368:m108. doi: 10.1136/bmj.m108.
5
Modification Effects of Temperature on the Ozone-Mortality Relationship: A Nationwide Multicounty Study in China.温度对臭氧-死亡率关系的修正作用:中国全国多县研究。
Environ Sci Technol. 2020 Mar 3;54(5):2859-2868. doi: 10.1021/acs.est.9b05978. Epub 2020 Feb 18.
6
Estimating health burden and economic loss attributable to short-term exposure to multiple air pollutants in China.估算中国短期暴露于多种空气污染物造成的健康负担和经济损失。
Environ Res. 2020 Apr;183:109184. doi: 10.1016/j.envres.2020.109184. Epub 2020 Jan 25.
7
Application of spatial analysis to investigate contribution of VOCs to photochemical ozone creation.应用空间分析研究 VOCs 对光化学臭氧生成的贡献。
Environ Sci Pollut Res Int. 2020 Apr;27(10):10459-10471. doi: 10.1007/s11356-020-07628-4. Epub 2020 Jan 15.
8
Estimation of health and economic benefits based on ozone exposure level with high spatial-temporal resolution by fusing satellite and station observations.基于融合卫星和站点观测的高时空分辨率臭氧暴露水平估算健康和经济效益。
Environ Pollut. 2019 Dec;255(Pt 2):113267. doi: 10.1016/j.envpol.2019.113267. Epub 2019 Sep 25.
9
Short-term association between ambient air pollution and lung cancer mortality.短期大气污染与肺癌死亡率的关系。
Environ Res. 2019 Dec;179(Pt A):108748. doi: 10.1016/j.envres.2019.108748. Epub 2019 Sep 17.
10
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