Real-time mechanistic Bayesian forecasts of COVID-19 mortality

DOI10.1214/22-AOAS1671MaRDI QIDQ6179088

Daniel R. Sheldon, Nicholas Reich, Graham C. Gibson

Publication date: 16 January 2024

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

zbMATH Keywords

compartmental modelsBayesian differential equationsCOVID-19 mortality forecasting

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

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• The challenges of modeling and forecasting the spread of COVID-19
• Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study
• Probabilistic Forecasts, Calibration and Sharpness

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