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Updated: Jan 9, 2026

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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用地理神经网络加权回归模型预测的PM2.5健康负担的全球分布和进化趋势

Huijuan Wang1, Jiaheng Wu1, Yuan Yuan2

  • 1Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China.

Environmental pollution (Barking, Essex : 1987)
|December 7, 2025
PubMed
概括

细颗粒物 (PM2.5) 污染严重影响全球健康. 一个新的混合模型预测PM2.5健康负担的增加,特别是在低收入国家,强调健康指数作为关键驱动因素.

关键词:
地理神经网络加权回归 (GNNWR)影响因素影响因素.互动效应是一种互动效应.机器学习 (ML) 是指机器学习.与PM(2.5) 相关的死亡率

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