A Formal Approach to Model the Expansion of Natural Events: The Case of Infectious Diseases

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Title: A Formal Approach to Model the Expansion of Natural Events: The Case of Infectious Diseases
Authors: Signes Pont, María Teresa | Boters-Pitarch, Joan | Szymanski, Julian | Mora, Higinio
Research Group/s: Informática Industrial y Redes de Computadores | Arquitecturas Inteligentes Aplicadas (AIA)
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Infectious disease expansion | Epidemiology | Formal approach | Mathematical modeling
Issue Date: 17-Nov-2023
Publisher: World Scientific Publishing
Citation: Parallel Processing Letters. 2023, 33(4): 2340015. https://doi.org/10.1142/S0129626423400157
Abstract: A formal approach to modeling the expansion of natural events is presented in this paper. Since the mathematical, statistical or computational methods used are not relevant for development, a modular framework is carried out that guides from the external observation down to the innermost level of the variables that have to appear in the future mathematical-computational formalization. As an example we analyze the expansion of Covid-19. We perform a qualitative estimation of the impact of the causes on the delays of the spread and an analysis of the parameters.
Sponsor: This research has been sponsored by project AICO/2021/331 of Generalitat Valenciana, Spain.
URI: http://hdl.handle.net/10045/138836
ISSN: 0129-6264 (Print) | 1793-642X (Online)
DOI: 10.1142/S0129626423400157
Language: eng
Type: info:eu-repo/semantics/article
Rights: © World Scientific Publishing Company
Peer Review: si
Publisher version: https://doi.org/10.1142/S0129626423400157
Appears in Collections:INV - I2RC - Artículos de Revistas
INV - AIA - Artículos de Revistas

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