A cellular automata to model epidemics

Compartmental models are very popular in epidemiology, they provide excellent results when the populations satisfy certain hypotheses as large population size or population homogeneity, the complexity of this models is low making their analysis intuitive. In the other hand, they ignore important fac...

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Detalles Bibliográficos
Autores principales: López, L, Burguener, G., Giovanini, Leonardo L., Baldomenico, P.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
Cellular automata
Modell
Epidemics
Heterogeneity
Individual based model
Public health
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/93778
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-93778
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Cellular automata
Modell
Epidemics
Heterogeneity
Individual based model
Public health
spellingShingle Ciencias Informáticas
Cellular automata
Modell
Epidemics
Heterogeneity
Individual based model
Public health
López, L
Burguener, G.
Giovanini, Leonardo L.
Baldomenico, P.
A cellular automata to model epidemics
topic_facet Ciencias Informáticas
Cellular automata
Modell
Epidemics
Heterogeneity
Individual based model
Public health
description Compartmental models are very popular in epidemiology, they provide excellent results when the populations satisfy certain hypotheses as large population size or population homogeneity, the complexity of this models is low making their analysis intuitive. In the other hand, they ignore important factors inherent to the problem, such as the nature of contacts between individuals and population heterogeneity. Cellular automata models are adequate to describe natural systems consisting of a massive collection of simple objects. They represent the global system behavior as a colection of simpler objects or cells. In this paper we propouse a cellular automata model to study the time evolution of a heterogeneous population through the various stages of disease resulting from the individuals interactions (epidemic). We validate the model with real data of flu that hit Geneva (Switzerland) in 1918 and then we will test the model under different assumptions discussing the result that each has on the disease dynamics.
format Objeto de conferencia
Objeto de conferencia
author López, L
Burguener, G.
Giovanini, Leonardo L.
Baldomenico, P.
author_facet López, L
Burguener, G.
Giovanini, Leonardo L.
Baldomenico, P.
author_sort López, L
title A cellular automata to model epidemics
title_short A cellular automata to model epidemics
title_full A cellular automata to model epidemics
title_fullStr A cellular automata to model epidemics
title_full_unstemmed A cellular automata to model epidemics
title_sort cellular automata to model epidemics
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/93778
work_keys_str_mv AT lopezl acellularautomatatomodelepidemics
AT burguenerg acellularautomatatomodelepidemics
AT giovaninileonardol acellularautomatatomodelepidemics
AT baldomenicop acellularautomatatomodelepidemics
AT lopezl cellularautomatatomodelepidemics
AT burguenerg cellularautomatatomodelepidemics
AT giovaninileonardol cellularautomatatomodelepidemics
AT baldomenicop cellularautomatatomodelepidemics
bdutipo_str Repositorios
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