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A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave 

Bracher, Johannes; Wolffram, Daniel; Deuschel, Jannik; Görgen, Konstantin; Ketterer, Jakob L.; Ullrich, Alexander; Abbott, Sam; Barbarossa, Maria Vittoria; Bertsimas, Dimitris; Bhatia, Sangeeta; Bodych, Marcin; Bosse, Nikos I.; Burgard, Jan Pablo; Castro, Lauren; Fairchild, Geoffrey; Fuhrmann, Jan; Funk, Sebastian; Gogolewski, Krzysztof; Gu, Quanquan; Heyder, Stefan; Hotz, Thomas; Kheifetz, Yuri; Kirsten, Holger; Krueger, Tyll; Krymova, Ekaterina; Li, Michael Lingzhi; Meinke, Jan H.; Michaud, Isaac; Niedzielewski, Karol; Ożański, Tomasz; Rakowski, Franciszek; Scholz, Markus; Soni, Saksham; Srivastava, Ajitesh; Zielinski, Jakub; Zou, Difan; Gneiting, Tilmann; Schienle, Melanie (Springer Nature, 2021)
Disease modelling has had considerable policy impact during the ongoing COVID-19 pandemic, and it is increasingly acknowledged that combining multiple models can improve the reliability of outputs. Here we report insights ...

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AuthorAbbott, Sam (1)Barbarossa, Maria Vittoria (1)Bertsimas, Dimitris (1)Bhatia, Sangeeta (1)Bodych, Marcin (1)... View MoreAffiliationAbdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College London, UK (1)Computational Statistics Group, Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany (1)Department of Computer Science, University of California, Los Angeles, USA (1)... View MoreSubjectCOVID-19 (1)disease modelling (1)... View MoreDate Issued2021 (1)LicenseCreative Commons Uznanie autorstwa 4.0 (1)

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