Applying the stochastic Galerkin method to epidemic models with uncertainty in the parameters

DOI10.1016/j.mbs.2016.03.012zbMath1358.92089OpenAlexW2337295711WikidataQ40708909 ScholiaQ40708909MaRDI QIDQ288931

David B. Harman, Peter R. Johnston

Publication date: 27 May 2016

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2016.03.012

zbMATH Keywords

infectious diseaseuncertainty quantificationnon-convergencepolynomial chaossobol index

Mathematics Subject Classification ID

Epidemiology (92D30) Ordinary differential equations and systems with randomness (34F05) Numerical solutions to stochastic differential and integral equations (65C30) Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations (65L60)

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Uncertainty quantification of stochastic epidemic SIR models using B-spline polynomial chaos, Rumour propagation: an operational research approach by computational and information theory, A Hermite polynomial approach for solving the SIR model of epidemics

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