Resumen
In the present work, a perturbation of the model
presented by Feng, Castillo-Chávez and Capurro (2000) will be
carried out, where the dynamics of tuberculosis transmission
will be described, where recovery from the disease will be
incorporated. The model will include four epidemiological populations: Susceptible (S), Exposed (E), Infected (I) and Infected with treatment (T). This will allow to know how the interaction that exists with the infected can cause the permanence of the individuals with the disease. For which, its qualitative behavior will be analyzed as its evolution in time of the epidemiological populations for the model by the ordinary differential equations (ODE) and its perturbation to the dalay differential equations (DDE). In this way, it will allow us to know how the parameters influence the spread of the disease at the point free of infection and with a computational extension to evaluate an endemic situation.
presented by Feng, Castillo-Chávez and Capurro (2000) will be
carried out, where the dynamics of tuberculosis transmission
will be described, where recovery from the disease will be
incorporated. The model will include four epidemiological populations: Susceptible (S), Exposed (E), Infected (I) and Infected with treatment (T). This will allow to know how the interaction that exists with the infected can cause the permanence of the individuals with the disease. For which, its qualitative behavior will be analyzed as its evolution in time of the epidemiological populations for the model by the ordinary differential equations (ODE) and its perturbation to the dalay differential equations (DDE). In this way, it will allow us to know how the parameters influence the spread of the disease at the point free of infection and with a computational extension to evaluate an endemic situation.
| Título traducido de la contribución | Un Modelo matemático de la dinámica de transmisión de la Tuberculosis con reinfección exógena en estado libre de infección |
|---|---|
| Idioma original | Inglés |
| Número de artículo | 7 |
| Páginas (desde-hasta) | 38-45 |
| Número de páginas | 8 |
| Publicación | International Journal of Applied Engineering & Technology |
| Volumen | 4 |
| N.º | 2 |
| DOI | |
| Estado | Publicada - 15 nov. 2022 |
Palabras Clave
- Epidemiology Mathematical
- Tuberculosis
- Ordinary Differential Equations
- Delay Differential Equations
- Computational Simulation
Categoría OCDE
- Matemáticas aplicadas
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
