Pezzella, Mario (2023) Infectious Disease Outbreak Simulation: Accurate and Dynamically Consistent Numerical Methods for Integro-Differential Epidemic Models. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Infectious Disease Outbreak Simulation: Accurate and Dynamically Consistent Numerical Methods for Integro-Differential Epidemic Models.
Autori:
Autore
Email
Pezzella, Mario
mario.pezzella@unina.it
Data: 11 Dicembre 2023
Numero di pagine: 156
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Matematica e Applicazioni "Renato Caccioppoli"
Dottorato: Matematica e Applicazioni
Ciclo di dottorato: 36
Coordinatore del Corso di dottorato:
nome
email
Moscariello, Gioconda
gioconda.moscariello@unina.it
Tutor:
nome
email
Festa, Paola
[non definito]
Data: 11 Dicembre 2023
Numero di pagine: 156
Parole chiave: Epidemic models. Age-of-infection. Volterra integro-differential equations. Non-standard Finite Differences. Direct Quadrature. Dynamical consistency. Asymptotic behavior. Discrete models.
Settori scientifico-disciplinari del MIUR: Area 01 - Scienze matematiche e informatiche > MAT/08 - Analisi numerica
Depositato il: 19 Dic 2023 18:12
Ultima modifica: 09 Mar 2026 14:38
URI: http://www.fedoa.unina.it/id/eprint/15674

Abstract

The age-of-infection integro-differential model, originally proposed by Kermack and McKendrick, offers a versatile yet computationally challenging framework for a comprehensive description of various infectious disease outbreak scenarios. This work addresses the challenges posed by the long-time simulation of the aforementioned model and of its extensions through the introduction of dynamically consistent numerical methods. Specifically, unconditionally positive and high-order schemes based on Non-Standard Finite Difference and Direct Quadrature methods are here devised. A thorough investigation of the asymptotic behavior of the numerical solutions is carried out and the convergence of the discrete final size to the continuous counterpart is rigorously proved.

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