Modeling epidemics using cellular automata

The main goal of this work is to introduce a theoretical model, based on cellular automata, to simulate epidemic spreading. Specifically, it divides the population into three classes: susceptible, infected and recovered, and the state of each cell stands for the portion of these classes of individua...

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Detalles Bibliográficos
Autores principales: White, S. Hoya, del Rey, A. Martín, Sánchez, G. Rodríguez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2007
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127728/
https://www.ncbi.nlm.nih.gov/pubmed/32287494
http://dx.doi.org/10.1016/j.amc.2006.06.126
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author White, S. Hoya
del Rey, A. Martín
Sánchez, G. Rodríguez
author_facet White, S. Hoya
del Rey, A. Martín
Sánchez, G. Rodríguez
author_sort White, S. Hoya
collection PubMed
description The main goal of this work is to introduce a theoretical model, based on cellular automata, to simulate epidemic spreading. Specifically, it divides the population into three classes: susceptible, infected and recovered, and the state of each cell stands for the portion of these classes of individuals in the cell at every step of time. The effect of population vaccination is also considered. The proposed model can serve as a basis for the development of other algorithms to simulate real epidemics based on real data.
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spelling pubmed-71277282020-04-08 Modeling epidemics using cellular automata White, S. Hoya del Rey, A. Martín Sánchez, G. Rodríguez Appl Math Comput Article The main goal of this work is to introduce a theoretical model, based on cellular automata, to simulate epidemic spreading. Specifically, it divides the population into three classes: susceptible, infected and recovered, and the state of each cell stands for the portion of these classes of individuals in the cell at every step of time. The effect of population vaccination is also considered. The proposed model can serve as a basis for the development of other algorithms to simulate real epidemics based on real data. Elsevier Inc. 2007-03-01 2006-09-15 /pmc/articles/PMC7127728/ /pubmed/32287494 http://dx.doi.org/10.1016/j.amc.2006.06.126 Text en Copyright © 2006 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
White, S. Hoya
del Rey, A. Martín
Sánchez, G. Rodríguez
Modeling epidemics using cellular automata
title Modeling epidemics using cellular automata
title_full Modeling epidemics using cellular automata
title_fullStr Modeling epidemics using cellular automata
title_full_unstemmed Modeling epidemics using cellular automata
title_short Modeling epidemics using cellular automata
title_sort modeling epidemics using cellular automata
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127728/
https://www.ncbi.nlm.nih.gov/pubmed/32287494
http://dx.doi.org/10.1016/j.amc.2006.06.126
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AT delreyamartin modelingepidemicsusingcellularautomata
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