Efficient real-time monitoring of an emerging influenza pandemic: how feasible?

DOI10.1214/19-AOAS1278zbMath1439.62216arXiv1608.05292OpenAlexW3017166785MaRDI QIDQ2179944

Paul J. Birrell, Lorenz Wernisch, Brian D. M. Tom, Gareth O. Roberts, Daniela De Angelis, Richard G. Pebody, Leonhard Held

Publication date: 13 May 2020

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

Full work available at URL: https://arxiv.org/abs/1608.05292

zbMATH Keywords

sequential Monte Carlopandemic influenzareal-time inferenceresample-moveSEIR transmission model

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Sequential estimation (62L12)

Related Items (6)

When did coronavirus arrive in Europe? ⋮ Efficient empirical likelihood inference for recovery rate of COVID19 under double-censoring ⋮ Efficient real-time monitoring of an emerging influenza pandemic: how feasible? ⋮ Accelerating Bayesian inference for stochastic epidemic models using incidence data ⋮ Evidence synthesis for stochastic epidemic models ⋮ Joining and splitting models with Markov melding

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