Collaborative nowcasting of COVID-19 hospitalization incidences in Germany.
Real-time surveillance is a crucial element in the response to infectious disease outbreaks. However, the interpretation of incidence data is often hampered by delays occurring at various stages of data gathering and reporting. As a result, recent values are biased downward, which obscures current t...
Saved in:
| Main Authors: | Daniel Wolffram, Sam Abbott, Matthias An der Heiden, Sebastian Funk, Felix Günther, Davide Hailer, Stefan Heyder, Thomas Hotz, Jan van de Kassteele, Helmut Küchenhoff, Sören Müller-Hansen, Diellë Syliqi, Alexander Ullrich, Maximilian Weigert, Melanie Schienle, Johannes Bracher |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-08-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1011394 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Post-processing and weighted combination of infectious disease nowcasts.
by: André Victor Ribeiro Amaral, et al.
Published: (2025-03-01) -
Nowcasting the 2022 mpox outbreak in England.
by: Christopher E Overton, et al.
Published: (2023-09-01) -
Climate nowcasting
by: Andrew Gettelman, et al.
Published: (2025-01-01) -
Disentangling temporal changes in travel behavior: An age-period-cohort analysis based on German travel demand
by: Elisabeth Bartl, et al.
Published: (2024-11-01) -
SwinNowcast: A Swin Transformer-Based Model for Radar-Based Precipitation Nowcasting
by: Zhuang Li, et al.
Published: (2025-04-01)