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可归因于环境空气污染的死亡率:全球估计数综述

Mortality Attributable to Ambient Air Pollution: A Review of Global Estimates.

作者信息

Pozzer A, Anenberg S C, Dey S, Haines A, Lelieveld J, Chowdhury S

机构信息

Max Planck Institute for Chemistry Mainz Germany.

The Cyprus Institute Nicosia Cyprus.

出版信息

Geohealth. 2023 Jan 1;7(1):e2022GH000711. doi: 10.1029/2022GH000711. eCollection 2023 Jan.

DOI:10.1029/2022GH000711
PMID:36636746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9828848/
Abstract

Since the publication of the first epidemiological study to establish the connection between long-term exposure to atmospheric pollution and effects on human health, major efforts have been dedicated to estimate the attributable mortality burden, especially in the context of the Global Burden of Disease (GBD). In this work, we review the estimates of excess mortality attributable to outdoor air pollution at the global scale, by comparing studies available in the literature. We find large differences between the estimates, which are related to the exposure response functions as well as the number of health outcomes included in the calculations, aspects where further improvements are necessary. Furthermore, we show that despite the considerable advancements in our understanding of health impacts of air pollution and the consequent improvement in the accuracy of the global estimates, their precision has not increased in the last decades. We offer recommendations for future measurements and research directions, which will help to improve our understanding and quantification of air pollution-health relationships.

摘要

自从首次发表流行病学研究以确立长期暴露于大气污染与对人类健康的影响之间的联系以来,人们付出了巨大努力来估算可归因的死亡负担,尤其是在全球疾病负担(GBD)的背景下。在这项工作中,我们通过比较文献中可用的研究,回顾了全球范围内室外空气污染所致超额死亡率的估算情况。我们发现估算值之间存在很大差异,这与暴露反应函数以及计算中所包含的健康结果数量有关,在这些方面仍需要进一步改进。此外,我们表明,尽管我们对空气污染对健康影响的理解有了相当大的进步,全球估算的准确性也因此得到了提高,但在过去几十年中,其精确性并未提高。我们为未来的测量和研究方向提供了建议,这将有助于增进我们对空气污染与健康关系的理解和量化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/1fccb0c46cf2/GH2-7-e2022GH000711-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/851c560e0a5b/GH2-7-e2022GH000711-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/f50e79acb234/GH2-7-e2022GH000711-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/fcd3eb8e2a04/GH2-7-e2022GH000711-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/5d2ab42fc2a2/GH2-7-e2022GH000711-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/1fccb0c46cf2/GH2-7-e2022GH000711-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/851c560e0a5b/GH2-7-e2022GH000711-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/f50e79acb234/GH2-7-e2022GH000711-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/fcd3eb8e2a04/GH2-7-e2022GH000711-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/5d2ab42fc2a2/GH2-7-e2022GH000711-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b615/9828848/1fccb0c46cf2/GH2-7-e2022GH000711-g005.jpg

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