Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations

Autor:	Xing, Xiaofan, Xiong, Yuankang, Yang, Ruipu, Wang, Rong, Wang, Weibing, Kan, Haidong, Lu, Tun, Li, Dongsheng, Cao, Junji, Peñuelas, Josep, Ciais, Philippe, Bauer, Nico, Boucher, Olivier, Balkanski, Yves, Hauglustaine, Didier, Brasseur, Guy, Morawska, Lidia, Janssens, Ivan A., Wang, Xiangrong, Sardans, Jordi, Wang, Yijing, Deng, Yifei, Wang, Lin, Chen, Jianmin, Tang, Xu, Zhang(张人禾), Renhe
Zdroj:	Proceedings of the National Academy of Sciences of the United States of America, 2021 Aug . 118(33), 1-11.
Databáze:	JSTOR Journals
Externí odkaz:	https://www.jstor.org/stable/27074794 Zobrazit plný text záznamu