Abstract
In the present study, the computational modeling that describes the evolution and propagation of people susceptible to HIV-AIDS infection as well as Tuberculosis will be carried out. This additionally generates a coinfection in those infected that further complicates the epidemiological situation. Therefore, the presence of sanitary-epidemiological support personnel is important to consolidate prevention and control strategies. This epidemiological phenomenon could be modeled by differential equations, but we will focus on modeling by cellular automata to obtain computational simulations in time-space, and obtain possible scenarios and opt for the appropriate scenario to implement the most effective epidemiological strategies to obtain the results. better results and preserve the quality of life of society.
| Original language | American English |
|---|---|
| Pages (from-to) | 13-21 |
| Number of pages | 9 |
| Journal | International Journal of Applied Engineering and Technology (London) |
| Volume | 5 |
| Issue number | 2 |
| State | Indexed - Jun 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2023, Roman Science Publications and Distributions. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Cellular automata
- Computational modeling
- Epidemiological coinfection
- HIV-AIDS
- Mathematical epidemiology
- Tuberculosis
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