Bivariate collocation for computing \(R_0\) in epidemic models with two structures
DOI10.1016/j.camwa.2021.10.026OpenAlexW3213642841MaRDI QIDQ2147268
Francesca Scarabel, Jianhong Wu, Simone De Reggi, Rossana Vermiglio, Dimitri Breda
Publication date: 23 June 2022
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2109.03206
spectral radiusbasic reproduction numberspectral approximationnext generation operatorstructured population dynamicsbivariate collocation
Epidemiology (92D30) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Population dynamics (general) (92D25) Interpolation in approximation theory (41A05) Approximation by polynomials (41A10)
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- Structured population models in biology and epidemiology.
- Bivariate Lagrange interpolation at the Padua points: Computational aspects
- Functional analysis, Sobolev spaces and partial differential equations
- Bivariate polynomial interpolation on the square at new nodal sets
- Multivariate simultaneous approximation
- Nonlinear physiologically structured population models with two internal variables
- A theta-scheme approximation of basic reproduction number for an age-structured epidemic system in a finite horizon
- Collocation of next-generation operators for computing the basic reproduction number of structured populations
- Equations with infinite delay: numerical bifurcation analysis via pseudospectral discretization
- Polynomial approximation on Lissajous curves in the \(d\)-cube
- Numerical approximation of the basic reproduction number for a class of age-structured epidemic models
- Bivariate Lagrange interpolation at the Padua points: The ideal theory approach
- A Structured Population Model of Cell Differentiation
- Interpolation Processes
- Spectral Methods in MATLAB
- A practical approach to R0 in continuous‐time ecological models
- Trivariate polynomial approximation on Lissajous curves
- Is Gauss Quadrature Better than Clenshaw–Curtis?
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