Bibliographic Details
| Title: |
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021 |
| Authors: |
Johannes Bracher, Daniel Wolffram, Jannik Deuschel, Konstantin Görgen, Jakob L. Ketterer, Alexander Ullrich, Sam Abbott, Maria V. Barbarossa, Dimitris Bertsimas, Sangeeta Bhatia, Marcin Bodych, Nikos I. Bosse, Jan Pablo Burgard, Lauren Castro, Geoffrey Fairchild, Jochen Fiedler, Jan Fuhrmann, Sebastian Funk, Anna Gambin, Krzysztof Gogolewski, Stefan Heyder, Thomas Hotz, Yuri Kheifetz, Holger Kirsten, Tyll Krueger, Ekaterina Krymova, Neele Leithäuser, Michael L. Li, Jan H. Meinke, Błażej Miasojedow, Isaac J. Michaud, Jan Mohring, Pierre Nouvellet, Jedrzej M. Nowosielski, Tomasz Ozanski, Maciej Radwan, Franciszek Rakowski, Markus Scholz, Saksham Soni, Ajitesh Srivastava, Tilmann Gneiting, Melanie Schienle |
| Source: |
Communications Medicine, Vol 2, Iss 1, Pp 1-17 (2022) |
| Publisher Information: |
Nature Portfolio, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Medicine |
| Subject Terms: |
Medicine |
| More Details: |
Bracher et al. compare 15 forecasting models of COVID-19 cases and deaths in Germany and Poland between January and mid-April 2021. Many, though not all, models outperform a simple baseline model up to four weeks ahead, with ensemble methods showing very good relative performance. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2730-664X |
| Relation: |
https://doaj.org/toc/2730-664X |
| DOI: |
10.1038/s43856-022-00191-8 |
| Access URL: |
https://doaj.org/article/538dfac0ac9e4eb3b14e8b4242363283 |
| Accession Number: |
edsdoj.538dfac0ac9e4eb3b14e8b4242363283 |
| Database: |
Directory of Open Access Journals |
