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| Online-Ressource |
Verfasst von: | Köppel, Lisa [VerfasserIn]  |
| Gottschalk, Claudius [VerfasserIn]  |
| Welker, Andreas [VerfasserIn]  |
| Knorr, Britta [VerfasserIn]  |
| Denkinger, Claudia M. [VerfasserIn]  |
Titel: | Prediction of local COVID-19 spread in Heidelberg |
Verf.angabe: | Lisa Koeppel, Claudius Gottschalk, Andreas Welker, Britta Knorr, Claudia M. Denkinger |
E-Jahr: | 2020 |
Jahr: | 02 Apr 2020 |
Umfang: | 12 S. |
Teil: | volume:9 |
| year:2020 |
| extent:12 |
Fussnoten: | Gesehen am 08.12.2020 |
Titel Quelle: | Enthalten in: F1000Research |
Ort Quelle: | London : F1000 Research Ltd, 2012 |
Jahr Quelle: | 2020 |
Band/Heft Quelle: | 9(2020) Artikel-Nummer 232, 12 Seiten |
ISSN Quelle: | 2046-1402 |
Abstract: | Since the first identified case of COVID-19 in Wuhan, China, the disease has developed into a pandemic, imposing a major challenge for health authorities and hospitals worldwide. Mathematical transmission models can help hospitals to anticipate and prepare for an upcoming wave of patients by forecasting the time and severity of infections. Taking the city of Heidelberg as an example, we predict the ongoing spread of the disease for the next months including hospital and ventilator capacity and consider the possible impact of currently imposed countermeasures. |
DOI: | doi:10.12688/f1000research.23034.1 |
URL: | Kostenfrei: Volltext ; Verlag: https://doi.org/10.12688/f1000research.23034.1 |
| Kostenfrei: Volltext: https://f1000research.com/articles/9-232 |
| DOI: https://doi.org/10.12688/f1000research.23034.1 |
Datenträger: | Online-Ressource |
Sprache: | eng |
K10plus-PPN: | 1742267041 |
Verknüpfungen: | → Zeitschrift |
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Lokale URL UB: | Zum Volltext |
Prediction of local COVID-19 spread in Heidelberg / Köppel, Lisa [VerfasserIn]; 02 Apr 2020 (Online-Ressource)
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