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A Graph Cellular Automata Model to Study the Spreading of an Infectious Disease
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.
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121431/ http://dx.doi.org/10.1007/978-3-642-37807-2_39 |
| _version_ | 1783515200532512768 |
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| author | Martínez, Maria Jose Fresnadillo Merino, Enrique García Sánchez, Enrique García Sánchez, Jose Elias García del Rey, Angel Martín Sánchez, Gerardo Rodríguez |
| author_facet | Martínez, Maria Jose Fresnadillo Merino, Enrique García Sánchez, Enrique García Sánchez, Jose Elias García del Rey, Angel Martín Sánchez, Gerardo Rodríguez |
| author_sort | Martínez, Maria Jose Fresnadillo |
| collection | PubMed |
| description | 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. |
| format | Online Article Text |
| id | pubmed-7121431 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2013 |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-71214312020-04-06 A Graph Cellular Automata Model to Study the Spreading of an Infectious Disease Martínez, Maria Jose Fresnadillo Merino, Enrique García Sánchez, Enrique García Sánchez, Jose Elias García del Rey, Angel Martín Sánchez, Gerardo Rodríguez Advances in Artificial Intelligence Article 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. 2013 /pmc/articles/PMC7121431/ http://dx.doi.org/10.1007/978-3-642-37807-2_39 Text en © Springer-Verlag Berlin Heidelberg 2013 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 Martínez, Maria Jose Fresnadillo Merino, Enrique García Sánchez, Enrique García Sánchez, Jose Elias García del Rey, Angel Martín Sánchez, Gerardo Rodríguez A Graph Cellular Automata Model to Study the Spreading of an Infectious Disease |
| title | A Graph Cellular Automata Model to Study the Spreading of an Infectious Disease |
| title_full | A Graph Cellular Automata Model to Study the Spreading of an Infectious Disease |
| title_fullStr | A Graph Cellular Automata Model to Study the Spreading of an Infectious Disease |
| title_full_unstemmed | A Graph Cellular Automata Model to Study the Spreading of an Infectious Disease |
| title_short | A Graph Cellular Automata Model to Study the Spreading of an Infectious Disease |
| title_sort | graph cellular automata model to study the spreading of an infectious disease |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121431/ http://dx.doi.org/10.1007/978-3-642-37807-2_39 |
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