Bayesian particle filter algorithm for learning epidemic dynamics

DOI10.1088/1361-6420/ac2cdcOpenAlexW3203725722MaRDI QIDQ6087348

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Publication date: 15 November 2023

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/1361-6420/ac2cdc

zbMATH Keywords

parameter estimationstate estimationbasic reproduction numbersequential Monte CarloCOVID-19

Mathematics Subject Classification ID

Numerical analysis (65-XX) Miscellaneous topics in partial differential equations (35Rxx)

Related Items (4)

Fourier series-based approximation of time-varying parameters in ordinary differential equations ⋮ Incorporating infectious duration‐dependent transmission into Bayesian epidemic models ⋮ A novel epidemiologically informed particle filter for assessing epidemic phenomena. Application to the monkeypox outbreak of 2022 ⋮ Hyper-differential sensitivity analysis for inverse problems governed by ODEs with application to COVID-19 modeling

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