Estimates of global mortality burden associated with short-term exposure to fine particulate matter (PM2.5)
LANCET PLANETARY HEALTH(2024)
摘要
Background The acute health effects of short-term (hours to days) exposure to fine particulate matter (PM2.5) have been well documented; however, the global mortality burden attributable to this exposure has not been estimated. We aimed to estimate the global, regional, and urban mortality burden associated with short-term exposure to PPM2.5 and the spatiotemporal variations in this burden from 2000 to 2019. Methods We combined estimated global daily PM2.5 concentrations, annual population counts, country-level mortality rates, and epidemiologically derived exposure-response functions to estimate the mortality attributable to short-term PM2.5 exposure from 2000 to 2019, in the continental regions and in 13 189 urban centres worldwide at a spatial resolution of 0.1 degrees x 0.1 degrees. We tested the robustness of our mortality estimates with different theoretical minimum risk exposure levels, lag effects, and exposure-response functions. Findings Approximately 1 million (95% CI 690 000-1.3 million) premature deaths per year from 2000 to 2019 were attributable to short-term PM2.5 exposure, representing 2.08% (1.41-2.75) of total global deaths or 17 (11-22) premature deaths per 100 000 population. Annually, 0.23 million (0.15 million-0.30 million) deaths attributable to short-term PM2.5 exposure were in urban areas, constituting 22.74% of the total global deaths attributable to this cause and accounting for 2.30% (1.56-3.05) of total global deaths in urban areas. The sensitivity analyses showed that our worldwide estimates of mortality attributed to short-term PM2.5 exposure were robust. Interpretation Short-term exposure to PM2.5 contributes a substantial global mortality burden, particularly in Asia and Africa, as well as in global urban areas. Our results highlight the importance of mitigation strategies to reduce short-term exposure to air pollution and its adverse effects on human health. Copyright (c) 2024 The Author(s). Published by Elsevier Ltd.
更多查看译文
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要