Computational Modeling of Varicella Transmission Dynamics through Cellular Automata (Cell-DEVS)

Authors

  • Neisser Pino Romero Universidad Peruana Cayetano Heredia
  • Roxana López Cruz Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Matemáticas. Lima, Perú
  • Gabriel Wainer Carleton University, Department of Systems and Computer Engineering.

DOI:

https://doi.org/10.15381/pes.v20i2.13969

Keywords:

mathematical epidemiology, differential equations, cellular automata, DEVS formalism, computational simulations

Abstract

In the present paper, a computational model is performed by Cellular Automata (Cell-DEVS) that describes the transmission dynamics of Varicella in a closed group of people where the disease can be spread. From the perspective of mathematical epidemiology we have the mathematical model SEIR of W.O. Kermack and A.G. McKendrick that represent the dynamics of the epidemic, in our case Varicela, where the computational simulations are performed both by the Numerical Methods and the Cellular Automata to analyze the development of the disease.

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Published

2018-05-15

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Section

Artículos originales

How to Cite

Computational Modeling of Varicella Transmission Dynamics through Cellular Automata (Cell-DEVS). (2018). Pesquimat, 20(2), 53-64. https://doi.org/10.15381/pes.v20i2.13969