Computational modeling of HIV-TB coinfection by cellular automata (CELL-DEVS)

Neisser Pino-Romero; Jhelly Reynaluz Pérez-Núñez; Luis Javier Vásquez-Serpa; Edú Paredes-Rojas; José Kenyn Rodríguez-Briceño; Erwin Fernando Haya-Enríquez

Computational modeling of HIV-TB coinfection by cellular automata (CELL-DEVS)

Neisser Pino-Romero
, Jhelly Reynaluz Pérez-Núñez
, Luis Javier Vásquez-Serpa
, Edú Paredes-Rojas
, José Kenyn Rodríguez-Briceño
, Erwin Fernando Haya-Enríquez

Research output: Contribution to journal › Article (Contribution to Journal) › peer-review

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	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	Published - Jun 2023

Cite this

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title = "Computational modeling of HIV-TB coinfection by cellular automata (CELL-DEVS)",

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.",

author = "Neisser Pino-Romero and P{\'e}rez-N{\'u}{\~n}ez, \{Jhelly Reynaluz\} and V{\'a}squez-Serpa, \{Luis Javier\} and Ed{\'u} Paredes-Rojas and Rodr{\'i}guez-Brice{\~n}o, \{Jos{\'e} Kenyn\} and Haya-Enr{\'i}quez, \{Erwin Fernando\}",

year = "2023",

month = jun,

language = "Ingl{\'e}s",

volume = "5",

pages = "13--21",

journal = "International Journal of Applied Engineering and Technology (London)",

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number = "2",

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Computational modeling of HIV-TB coinfection by cellular automata (CELL-DEVS). / Pino-Romero, Neisser; Pérez-Núñez, Jhelly Reynaluz; Vásquez-Serpa, Luis Javier et al.
In: International Journal of Applied Engineering and Technology (London), Vol. 5, No. 2, 06.2023, p. 13-21.

Research output: Contribution to journal › Article (Contribution to Journal) › peer-review

TY - JOUR

T1 - Computational modeling of HIV-TB coinfection by cellular automata (CELL-DEVS)

AU - Pino-Romero, Neisser

AU - Pérez-Núñez, Jhelly Reynaluz

AU - Vásquez-Serpa, Luis Javier

AU - Paredes-Rojas, Edú

AU - Rodríguez-Briceño, José Kenyn

AU - Haya-Enríquez, Erwin Fernando

PY - 2023/6

Y1 - 2023/6

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85175002054

M3 - Artículo (Contribución a Revista)

AN - SCOPUS:85175002054

SN - 2633-4828

VL - 5

SP - 13

EP - 21

JO - International Journal of Applied Engineering and Technology (London)

JF - International Journal of Applied Engineering and Technology (London)

IS - 2

ER -

Computational modeling of HIV-TB coinfection by cellular automata (CELL-DEVS)

Abstract

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