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A SIS Epidemiological Model Based on Cellular Automata on Graphs
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 evoluti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122184/ http://dx.doi.org/10.1007/978-3-642-02481-8_160 |
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author | Fresnadillo, María J. García, Enrique García, José E. Martín, Ángel Rodríguez, Gerardo |
author_facet | Fresnadillo, María J. García, Enrique García, José E. Martín, Ángel Rodríguez, Gerardo |
author_sort | Fresnadillo, María J. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7122184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71221842020-04-06 A SIS Epidemiological Model Based on Cellular Automata on Graphs Fresnadillo, María J. García, Enrique García, José E. Martín, Ángel Rodríguez, Gerardo Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living Article 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. 2009 /pmc/articles/PMC7122184/ http://dx.doi.org/10.1007/978-3-642-02481-8_160 Text en © Springer-Verlag Berlin Heidelberg 2009 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Fresnadillo, María J. García, Enrique García, José E. Martín, Ángel Rodríguez, Gerardo A SIS Epidemiological Model Based on Cellular Automata on Graphs |
title | A SIS Epidemiological Model Based on Cellular Automata on Graphs |
title_full | A SIS Epidemiological Model Based on Cellular Automata on Graphs |
title_fullStr | A SIS Epidemiological Model Based on Cellular Automata on Graphs |
title_full_unstemmed | A SIS Epidemiological Model Based on Cellular Automata on Graphs |
title_short | A SIS Epidemiological Model Based on Cellular Automata on Graphs |
title_sort | sis epidemiological model based on cellular automata on graphs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122184/ http://dx.doi.org/10.1007/978-3-642-02481-8_160 |
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