A statistical model for the dynamics of COVID‐19 infections and their case detection ratio in 2020

DOI10.1002/BIMJ.202100125zbMath1523.62200OpenAlexW3192809041MaRDI QIDQ6068293

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

Publication date: 15 December 2023

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

Full work available at URL: https://doi.org/10.1002/bimj.202100125

zbMATH Keywords

penalized splinesgeneralized additive modelsCOVID-19case detection ratiodark figure of infections

Mathematics Subject Classification ID

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

Cites Work

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• Estimating the size of undetected cases of the COVID-19 outbreak in Europe: an upper bound estimator
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Estimating the COVID-19 infection rate: anatomy of an inference problem
• On calculating with B-splines
• On the estimation of functional random effects
• Diagnosing misspecification of the random‐effects distribution in mixed models

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