Uncertainty quantification of stochastic epidemic SIR models using B-spline polynomial chaos

DOI10.1134/S1560354721010020zbMath1471.92320OpenAlexW3126641193MaRDI QIDQ2235123

Navjot Kaur, Kavita Goyal

Publication date: 20 October 2021

Published in: Regular and Chaotic Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1560354721010020

zbMATH Keywords

Galerkin approximationuncertainty quantificationSIR modelinfluenzastochastic ordinary differential equationsB-spline chaosEbola virus outbreak

Mathematics Subject Classification ID

Epidemiology (92D30) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Ordinary differential equations and systems with randomness (34F05)

Related Items (2)

An adaptive stochastic investigation of partial differential equations using wavelet collocation generalized polynomial chaos method ⋮ An adaptive wavelet optimized finite difference B-spline polynomial chaos method for random partial differential equations

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