Work

Explanatory Machine Learning Model to Associate All-Cause Mortality with PM 2.5 by Sources and Components: A Nationwide Difference-in-Differences Study

Year: 2026

Type: article

Study design: Observational Study

Source: Environmental Science & Technology

DOI: 10.1021/acs.est.6c00976

Authors: Hong Lu, Ning Kang, Mingkun Tong, Tao Xue, Jun Liu

Institutions: Peking University, Ministry of Ecology and Environment, University of Science and Technology Beijing

Language: English

Topic: Air Quality and Health Impacts

Subfield: Health, Toxicology and Mutagenesis

Field: Environmental Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Awards: G3603778751, G8795340565

OpenAlex ID: W7154209231

FWCI:

Cites: 61

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