Nowcasting the COVID‐19 pandemic in Bavaria

DOI10.1002/BIMJ.202000112zbMath1523.62125OpenAlexW3107976532WikidataQ103809894 ScholiaQ103809894MaRDI QIDQ6091714

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Publication date: 27 November 2023

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

Full work available at URL: https://doi.org/10.1002/bimj.202000112

zbMATH Keywords

Bayesian hierarchical modelnowcastingCOVID-19infectious disease epidemiologyepidemic surveillance

Mathematics Subject Classification ID

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

Related Items (4)

Modeling the occurrence of events subject to a reporting delay via an EM algorithm ⋮ Nowcasting fatal COVID‐19 infections on a regional level in Germany ⋮ 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

• A note on generation times in epidemic models
• Bayesian nowcasting during the STEC O104:H4 outbreak in Germany, 2011
• Adjustments for Reporting Delays and the Prediction of Occurred but Not Reported Events
• Nowcasting fatal COVID‐19 infections on a regional level in Germany

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