A graph cellular automata model to study the spreading of an infectious disease

  • Authors:

  • Maria Jose Fresnadillo Martínez;Enrique García Merino;Enrique García Sánchez;Jose Elias García Sánchez;Angel Martín del Rey;Gerardo Rodríguez Sánchez

  • Affiliations:

  • Department of Preventive Medicine, Public Health and Clinic Microbiology, Faculty of Medicine, University of Salamanca, Salamanca, Spain;I.E.S. Politécnico de Soria, Soria, Spain;Department of Preventive Medicine, Public Health and Clinic Microbiology, Faculty of Medicine, University of Salamanca, Salamanca, Spain;Department of Preventive Medicine, Public Health and Clinic Microbiology, Faculty of Medicine, University of Salamanca, Salamanca, Spain;Department of Applied Mathematics, E.P.S. de Ávila, Universidad de Salamanca, Ávila, Spain;Department of Applied Mathematics, E.P.S. de Zamora, Universidad de Salamanca, Zamora, Spain

  • Venue:
  • MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
  • Year:
  • 2012

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Abstract

A mathematical model based on cellular automata on graphs to simulate a general epidemic spreading is presented in this paper. Specifically, it is a SIR-type model where the population is divided into susceptible, infected and recovered individuals.