A SIS Epidemiological Model Based on Cellular Automata on Graphs

Authors:
María J. Fresnadillo;Enrique García;José E. García;Ángel Martín;Gerardo Rodríguez
Affiliations:
Dpto. Medicina Preventiva, Salud Pública y Microbiología Médica Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain 37007;Dpto. Medicina Preventiva, Salud Pública y Microbiología Médica Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain 37007;Dpto. Medicina Preventiva, Salud Pública y Microbiología Médica Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain 37007;Department of Applied Mathematics, E.P.S. de Ávila, Universidad de Salamanca, Ávila, Spain 05003;Department of Applied Mathematics, E.P.S. de Zamora, Universidad de Salamanca, Zamora, Spain 49022
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Year:
2009

Citing 3
Cited 1

Cellular automata machines: a new environment for modeling

Cellular automata machines: a new environment for modeling
A new kind of science

A new kind of science
A model based on cellular automata to simulate epidemic diseases

ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry

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

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

Quantified Score

Hi-index	0.00

Visualization

Abstract

The main goal of this work is to introduce a new SIS epidemic model based on a particular type of finite state machines called cellular automata on graphs. The state of each cell stands for the fraction of the susceptible and infected individuals of the cell at a particular time step and the evolution of these classes is given in terms of a local transition function.