Abstract
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.
Original language | American English |
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Pages (from-to) | 38-45 |
Number of pages | 8 |
Journal | International Journal of Applied Engineering and Technology (London) |
Volume | 4 |
Issue number | 2 |
State | Indexed - Sep 2022 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© Roman Science Publications Inc.
Keywords
- Computational Simulation
- Delay Differential Equations
- Epidemiology Mathematical
- Ordinary Differential Equations
- Tuberculosis