Approximating reproduction numbers: a general numerical method for age-structured models

Author:

De Reggi Simone12,Scarabel Francesca32,Vermiglio Rossana12

Affiliation:

1. Department of Mathematics, Computer Science and Physics, University of Udine, via delle Scienze 206, 33100 Udine, Italy

2. CDLab – Computational Dynamics Laboratory, University of Udine, Italy

3. Department of Applied Mathematics, University of Leeds, Woodhouse, Leeds LS2 9JT, United Kingdom

Abstract

<abstract><p>In this paper, we introduce a general numerical method to approximate the reproduction numbers of a large class of multi-group, age-structured, population models with a finite age span. To provide complete flexibility in the definition of the birth and transition processes, we propose an equivalent formulation for the age-integrated state within the extended space framework. Then, we discretize the birth and transition operators via pseudospectral collocation. We discuss applications to epidemic models with continuous and piecewise continuous rates, with different interpretations of the age variable (e.g., demographic age, infection age and disease age) and the transmission terms (e.g., horizontal and vertical transmission). The tests illustrate that the method can compute different reproduction numbers, including the basic and type reproduction numbers as special cases.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

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