Modified SEIR epidemic model including asymptomatic and hospitalized cases with correct demographic evolution
Resumen: The aim of this study is to propose a modified Susceptible-Exposed-Infectious-Removed (SEIR) model that describes the time behaviour of symptomatic, asymptomatic and hospitalized patients in an epidemic, taking into account the effect of the demographic evolution. Unlike most of the recent studies where a constant ratio of new individuals is considered, we consider a more correct assumption that the growth ratio is proportional to the total population, following a Logistic law, as is usual in population growth studies for humans and animals. An exhaustive theoretical study is carried out and the basic reproduction number is computed from the model equations. It is proved that if then the disease-free manifold is globally asymptotically stable, that is, the epidemics remits. Global and local stability of the equilibrium points is also studied. Numerical simulations are used to show the agreement between numerical results and theoretical properties. The model is fitted to experimental data corresponding to the pandemic evolution of COVID-19 in the Republic of Cuba, showing a proper behaviour of infected cases which let us think that can provide a correct estimation of asymptomatic cases. In conclusion, the model seems to be an adequate tool for the study and control of infectious diseases.
Idioma: Inglés
DOI: 10.1016/j.amc.2023.128122
Año: 2023
Publicado en: Applied Mathematics and Computation 456 (2023), 128122 [23 pp.]
ISSN: 0096-3003

Factor impacto JCR: 3.5 (2023)
Categ. JCR: MATHEMATICS, APPLIED rank: 10 / 332 = 0.03 (2023) - Q1 - T1
Factor impacto CITESCORE: 7.9 - Computational Mathematics (Q1) - Applied Mathematics (Q1)

Factor impacto SCIMAGO: 1.026 - Computational Mathematics (Q1) - Applied Mathematics (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-109045GB-C31
Tipo y forma: Article (Published version)
Área (Departamento): Área Matemática Aplicada (Dpto. Matemática Aplicada)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.


Exportado de SIDERAL (2024-11-22-12:01:14)


Visitas y descargas

Este artículo se encuentra en las siguientes colecciones:
Articles > Artículos por área > Matemática Aplicada



 Record created 2023-07-28, last modified 2024-11-25


Versión publicada:
 PDF
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)