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Predicting the effect of confinement on the COVID-19 spread..:
Xing, Xiaofan
;
Xiong, Yuankang
;
Yang, Ruipu
...
Proceedings of the National Academy of Sciences. 118 (2021) 33 - p. , 2021
Link:
https://doi.org/10.1073/pnas.2109098118
RT Journal T1
Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations
UL https://suche.suub.uni-bremen.de/peid=cr-10.1073_pnas.2109098118&Exemplar=1&LAN=DE A1 Xing, Xiaofan A1 Xiong, Yuankang A1 Yang, Ruipu A1 Wang, Rong A1 Wang, Weibing A1 Kan, Haidong A1 Lu, Tun A1 Li, Dongsheng A1 Cao, Junji A1 Peñuelas, Josep A1 Ciais, Philippe A1 Bauer, Nico A1 Boucher, Olivier A1 Balkanski, Yves A1 Hauglustaine, Didier A1 Brasseur, Guy A1 Morawska, Lidia A1 Janssens, Ivan A. A1 Wang, Xiangrong A1 Sardans, Jordi A1 Wang, Yijing A1 Deng, Yifei A1 Wang, Lin A1 Chen, Jianmin A1 Tang, Xu A1 Zhang, Renhe PB Proceedings of the National Academy of Sciences YR 2021 SN 0027-8424 SN 1091-6490 JF Proceedings of the National Academy of Sciences VO 118 IS 33 LK http://dx.doi.org/https://doi.org/10.1073/pnas.2109098118 DO https://doi.org/10.1073/pnas.2109098118 SF ELIB - SuUB Bremen
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