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Published January 2022 | Supplemental Material
Journal Article Open

Health risk and disease burden attributable to long-term global fine-mode particles

Abstract

Particulate matter 2.5 (PM_(2.5)) pollution has long been a global environmental problem and still poses a great threat to public health. This study investigates global spatiotemporal variations in PM_(2.5) using the newly developed satellite-derived PM_(2.5) dataset from 1998 to 2018. An integrated exposure–response (IER) model was employed to examine the characteristics of PM_(2.5)-related deaths caused by chronic obstructive pulmonary disease (COPD), ischemic heart disease (IHD), lung cancer (LC), and stroke in adults (age≥25), as well as lower respiratory infection (LRI) in children (age≤5). The results showed that high annual PM_(2.5) concentrations were observed mainly in East Asia and South Asia. Over the 19-year period, PM_(2.5) concentrations constantly decreased in developed regions, but increased in most developing regions. Approximately 84% of the population lived in regions where PM_(2.5) concentrations exceeded 10 μg/m³. Meanwhile, the vast majority of the population (>60%) in East and South Asia was consistently exposed to PM_(2.5) levels above 35 μg/m³. PM_(2.5) exposure was linked to 3.38 (95% UI: 3.05–3.70) million premature deaths globally in 2000, a number that increased to 4.11 (95% UI: 3.55–4.69) million in 2018. Premature deaths related to PM_(2.5) accounted for 6.54%−7.79% of the total cause of deaths worldwide, with a peak in 2011. Furthermore, developing regions contributed to the majority (85.95%–95.06%) of PM_(2.5)-related deaths worldwide, and the three highest-ranking regions were East Asia, South Asia, and Southeast Asia. Globally, IHD and stroke were the two main contributors to total PM_(2.5)-related deaths, followed by COPD, LC, and LRI.

Additional Information

© 2021 Elsevier Ltd. Received 13 June 2021, Revised 11 August 2021, Accepted 15 September 2021, Available online 1 October 2021. This work was supported from the National Natural Science Foundation of China (Grants 41925022), the China National Key R&D Program (2019YFA0606803), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19070202), and the State Key Laboratory of Earth Surface Processes and Resource Ecology. We gratefully acknowledge the Atmospheric Composition Analysis Group at Dalhousie University, the Institute for Health Metrics and Evaluation at University of Washington, the Office for the Coordination of Humanitarian Affairs (OCHA), and the European Space Agency for sharing their data. Credit author statement: Xingchuan Yang: Methodology, Visualization, Writing original draft. Yuan Wang: Conceptualization, Writing – review & editing. Chuanfeng Zhao: Conceptualization, Supervision, Writing – review & editing. Hao Fan: Data curation, Review & editing. Yikun Yang: Resources, Data curation, review & editing. Yulei Chi: Formal analysis, review & editing. Lixing Shen: Data curation. Xing Yan: Review & editing. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023