Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles-Reference-Cited by-同舟云学术

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Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles

Published:2023-10-17 Issue: Volume: Page:
ISSN:1559-0631
Container-title:Journal of Exposure Science & Environmental Epidemiology
language:en
Short-container-title:J Expo Sci Environ Epidemiol

Author:

Jiang Menghui,Hu Chelin Jamie,Rowe Cassie L.,Kang Huining,Gong Xi,Dagucon Christopher P.,Wang Jialiang,Lin Yan,Sood Akshay,Guo Yan,Zhu Yiliang,Alexis Neil E.,Gilliland Frank D.,Belinsky Steven A.,Yu Xiaozhong,Leng Shuguang^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Pollution,Toxicology,Epidemiology

Link

https://www.nature.com/articles/s41370-023-00607-0.pdf

Reference55 articles.

1. Cordero RR, Sepúlveda E, Feron S, Damiani A, Fernandoy F, Neshyba S, et al. Black carbon footprint of human presence in Antarctica. Nat Commun. 2022;13:984.

2. The Lancet Public H. Mitigating climate change must be a priority for public health. Lancet Public Health. 2021;6:e620.

3. Dedoussi IC, Eastham SD, Monier E, Barrett SRH. Premature mortality related to United States cross-state air pollution. Nature. 2020;578:261–5.

4. Thurston GD, Ito K, Lall R. A source apportionment of U.S. fine particulate matter air pollution. Atmos Environ (1994). 2011;45:3924–36.

5. Disparities in the Impact of Air Pollution. https://www.lung.org/clean-air/outdoors/who-is-at-risk/disparities.

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