On COVID-19 outbreaks predictions: Issues on stability, parameter sensitivity, and precision

DOI10.1080/07362994.2020.1802291zbMath1470.92351OpenAlexW3048019386MaRDI QIDQ5005981

M. Alejandro Dinamarca, Yuyan Ying, Milan Stehlík, Yu-meng Li, Jozef Kisel'ák

Publication date: 12 August 2021

Published in: Stochastic Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07362994.2020.1802291

zbMATH Keywords

predictionsensitivitySIR modelexponential growth modelCOVID-19 outbreaks

Mathematics Subject Classification ID

Epidemiology (92D30)

Related Items (3)

Branching process modelling of COVID-19 pandemic including immunity and vaccination ⋮ REDACS: Regional emergency-driven adaptive cluster sampling for effective COVID-19 management ⋮ Statistical modelling of COVID-19 pandemic development applying branching processes

Cites Work

• Probabilistic methods in applied physics
• Effect of discretization on dynamical behavior of SEIR and SIR models with nonlinear incidence
• Fredholm integral relation between compound estimation and prediction (FIRCEP)
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