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

Yang, Xingchuan and Wang, Yuan and Zhao, Chuanfeng and Fan, Hao and Yang, Yikun and Chi, Yulei and Shen, Lixing and Yan, Xing (2022) Health risk and disease burden attributable to long-term global fine-mode particles. Chemosphere, 287 . Art. No. 132435. ISSN 0045-6535. doi:10.1016/j.chemosphere.2021.132435. https://resolver.caltech.edu/CaltechAUTHORS:20211109-214540427

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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.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.chemosphere.2021.132435DOIArticle
ORCID:
AuthorORCID
Wang, Yuan0000-0001-6657-8401
Zhao, Chuanfeng0000-0002-5196-3996
Fan, Hao0000-0002-6947-9609
Yang, Yikun0000-0001-7427-6876
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.
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China41925022
National Key Research and Development Program of China2019YFA0606803
Chinese Academy of SciencesXDA19070202
State Key Laboratory of Earth Surface Processes and Resource EcologyUNSPECIFIED
Subject Keywords:PM2.5; Trend analysis; Exposure risk assessment; Disease burden
DOI:10.1016/j.chemosphere.2021.132435
Record Number:CaltechAUTHORS:20211109-214540427
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20211109-214540427
Official Citation:Xingchuan Yang, Yuan Wang, Chuanfeng Zhao, Hao Fan, Yikun Yang, Yulei Chi, Lixing Shen, Xing Yan, Health risk and disease burden attributable to long-term global fine-mode particles, Chemosphere, Volume 287, Part 4, 2022, 132435, ISSN 0045-6535, https://doi.org/10.1016/j.chemosphere.2021.132435.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:111806
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:11 Nov 2021 19:59
Last Modified:11 Nov 2021 19:59

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