Epidemiological association and machine learning-based prediction of lung cancer risk linked to long-term lagged satellite-derived PM2.5 in China
Long-term exposure to PM<sub>2.5,</sub> especially exposure with a long lag time, is closely related to lung cancer incidence. The integrated machine learning prediction model can be used as a reliable tool to assess the health risks of air pollution.
Authors
- Jian Zhou (ORCID: https://orcid.org/0000-0001-7835-8879)
- Gaoqiang Fei
- Xiaobing Shen (ORCID: https://orcid.org/0009-0001-7540-518X)
- Renqiang Han
- Huiying Wang
- Meng Zhao (ORCID: https://orcid.org/0000-0002-8049-5175)
- Shijun Yang (ORCID: https://orcid.org/0009-0004-4031-2364)
- Feiran Wei (ORCID: https://orcid.org/0000-0003-0096-8452)
Institutions
- Jiangsu Provincial Meteorological Bureau (CN)
- Jiangsu Provincial Center for Disease Control and Prevention (CN)
- Liaoning Meteorological Bureau (CN)
- Jiangsu Cancer Hospital (CN)
- Southeast University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-05-30
- DOI
- https://doi.org/10.3389/fpubh.2025.1536509
- Primary Topic
- Air Quality and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Government of Jiangsu Province