Variational data assimilation with epidemic models

DOI10.1016/j.jtbi.2009.02.017zbMath1402.92405OpenAlexW2025316801WikidataQ33415764 ScholiaQ33415764MaRDI QIDQ1624240

C. J. Rhodes, T. Déirdre Hollingsworth

Publication date: 16 November 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2009.02.017

zbMATH Keywords

parameter estimationforecastingepidemic modeldata assimilation

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (7)

A hierarchical Bayes ensemble Kalman filter ⋮ Numerical linear algebra in data assimilation ⋮ Predicting the behavior of sparsely-sampled systems across neurobiology and epidemiology ⋮ Analyzing the effects of observation function selection in ensemble Kalman filtering for epidemic models ⋮ An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation ⋮ Dynamical Behavior and Bifurcation Analysis of the SIR Model with Continuous Treatment and State-Dependent Impulsive Control ⋮ Analysis of COVID-19 in Japan with extended SEIR model and ensemble Kalman filter

Cites Work

• A data assimilation technique applied to a predator-prey model
• Estimation and inference of \(R_0\) of an infectious pathogen by a removal method
• A new algorithm for optimization
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