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A long-time behavior preserving numerical scheme for age-of-infection epidemic models with heterogeneous mixing

Articolo
Data di Pubblicazione:
2023
Abstract:
In this manuscript we propose a numerical method for non-linear integro-differential systems arising in age-of-infection models in a heterogeneously mixed population. The discrete scheme is based on direct quadrature methods and provides an unconditionally positive and bounded solution. Furthermore, we prove the existence of the numerical final size of the epidemic and show that it tends to its continuous equivalent as the discretization steplength vanishes.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Epidemic models; Volterra integro-differential equations; Direct quadrature methods; Dynamical preservation
Elenco autori:
Vecchio, Antonia
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/462485
Pubblicato in:
APPLIED NUMERICAL MATHEMATICS
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-85158036443&origin=inward
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