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Nowcasting fatal COVID‐19 infections on a regional level in Germany

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Publication:6091713
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DOI10.1002/BIMJ.202000143zbMath1523.62199arXiv2005.07452WikidataQ102213347 ScholiaQ102213347MaRDI QIDQ6091713

Giacomo De Nicola, Göran Kauermann, Marc Schneble, Ursula Berger

Publication date: 27 November 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.07452


zbMATH Keywords

nowcastingdisease mappingCOVID-19generalized regression model


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)


Related Items (3)

Nowcasting the COVID‐19 pandemic in Bavaria ⋮ Challenges in Interpreting Epidemiological Surveillance Data – Experiences from Germany ⋮ Discussion on ``\textit{On the role of data, statistics and decisions in a pandemic}




Cites Work

  • Unnamed Item
  • Unnamed Item
  • Smoothing and mixed models
  • Bayesian nowcasting during the STEC O104:H4 outbreak in Germany, 2011
  • A Note on Penalized Spline Smoothing With Correlated Errors
  • Adjustments for Reporting Delays and the Prediction of Occurred but Not Reported Events
  • Nowcasting the COVID‐19 pandemic in Bavaria




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