Uniformly Bounded Solution and Asymptotic Stability of the Infection-Free Point of a SI Mathematical Model with Vital Dynamics (logistic growth) by Delay Differential Equations

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In the present work, the existence of Uniformly Bound Solutions of a SI Mathematical Model with vital dynamics, with logistic growth for the Susceptibles, developed by Delay Differential Equations is constructed, and the behavior of the solutions will be studied (qualitative analysis) for the Infect...

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Detalles Bibliográficos
Autores: Pino Romero, Neisser, Salazar Fernández, Christian Ulises, López Cruz, Roxana
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Nacional de Trujillo
Repositorio:Revistas - Universidad Nacional de Trujillo
Lenguaje:español
OAI Identifier:oai:ojs.revistas.unitru.edu.pe:article/2446
Enlace del recurso:https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2446
Nivel de acceso:acceso abierto
Materia:Mathematical Epidemiology
Ordinary Differential Equations
Delay Differential Equations. Stationary Points
Local stability
Absolute Estability
Epidemiología Matemática
Ecuaciones Diferenciales Ordinarias
Ecuaciones Diferenciales con Retardo
Puntos Estacionarios
Estabilidad Local
Estabilidad Absoluta
Descripción
Sumario:In the present work, the existence of Uniformly Bound Solutions of a SI Mathematical Model with vital dynamics, with logistic growth for the Susceptibles, developed by Delay Differential Equations is constructed, and the behavior of the solutions will be studied (qualitative analysis) for the Infection-Free Point where the necessary conditions for its asymptotic stability will be determined; and furthermore, that the Uniformly Bounded Solution of the Model tends to the steady state of the Infection-Free Point. In addition, it will be simulated computationally (approximate solutions) with initial populations and epidemiological rates of the model. The simulation will complement the qualitative analysis (behavior of solutions) to conclude trends of behaviors of the transmission of the disease overtime.
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