Modelo de simulación del COVID-19 basado en agentes. Aplicación al caso argentino

The model presented is a multi-agent simulation that visualizes the emerging dynamics of the interaction and influence of a subset of biological and social factors in the development of the COVID-19 pandemic. The model is implemented in NetLogo (programming language and simulation environm...

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Autores principales: Jiménez Romero, Cristian, Tisnés, Adela, Linares, Santiago
Formato: Artículo acceptedVersion Artículo
Lenguaje:Español
Español
Publicado: Instituto de Investigaciones Geográficas. Universidad Nacional de Luján 2020
Materias:
COVID-19
Modelos basados en agentes
NetLogo
Agent Based Models
Acceso en línea:http://ri.unlu.edu.ar/xmlui/handle/rediunlu/687
Aporte de:
REDIUNLu - Repositorio Digital Institucional de Acceso Abierto - Universidad Nacional de Luján (UNLu) de Universidad Nacional de Luján (UNLu)
id I62-R168-rediunlu-687
record_format dspace
institution Universidad Nacional de Luján (UNLu)
institution_str I-62
repository_str R-168
collection REDIUNLu - Repositorio Digital Institucional de Acceso Abierto - Universidad Nacional de Luján (UNLu)
language Español
Español
topic COVID-19
Modelos basados en agentes
NetLogo
Agent Based Models
spellingShingle COVID-19
Modelos basados en agentes
NetLogo
Agent Based Models
Jiménez Romero, Cristian
Tisnés, Adela
Linares, Santiago
Modelo de simulación del COVID-19 basado en agentes. Aplicación al caso argentino
topic_facet COVID-19
Modelos basados en agentes
NetLogo
Agent Based Models
description The model presented is a multi-agent simulation that visualizes the emerging dynamics of the interaction and influence of a subset of biological and social factors in the development of the COVID-19 pandemic. The model is implemented in NetLogo (programming language and simulation environment, adapted to simulate phenomena involving multiple agents interacting).The objective is to simulate, through a didactic approach, different hypothetical scenarios adjusting demographic, medical, social and institutional parameters associated with the evolution and spread of the virus. Four evolution scenarios of COVID19 in Argentina were analyzed, with different levels of restriction in population mobility. Expressed in number of days with partial quarantine, they were: E1 90 days, E2 0 days, E3 63 days and E4 48 days, during a simulation of 90 consecutive days.The model made it possible to operationalize the way in which different variables interact with each other. This makes it possible to simulate in a multidimensional context the non-linear effect of explanatory variables on the evolution of COVID-19. Social isolation is, in all cases, the measure that most affects the behavior of the spread of the virus, therefore, the one that most helps to prevent and slow down the spread.
format Article
acceptedVersion
Artículo
Artículo
author Jiménez Romero, Cristian
Tisnés, Adela
Linares, Santiago
author_facet Jiménez Romero, Cristian
Tisnés, Adela
Linares, Santiago
author_sort Jiménez Romero, Cristian
title Modelo de simulación del COVID-19 basado en agentes. Aplicación al caso argentino
title_short Modelo de simulación del COVID-19 basado en agentes. Aplicación al caso argentino
title_full Modelo de simulación del COVID-19 basado en agentes. Aplicación al caso argentino
title_fullStr Modelo de simulación del COVID-19 basado en agentes. Aplicación al caso argentino
title_full_unstemmed Modelo de simulación del COVID-19 basado en agentes. Aplicación al caso argentino
title_sort modelo de simulación del covid-19 basado en agentes. aplicación al caso argentino
publisher Instituto de Investigaciones Geográficas. Universidad Nacional de Luján
publishDate 2020
url http://ri.unlu.edu.ar/xmlui/handle/rediunlu/687
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AT tisnesadela modelodesimulaciondelcovid19basadoenagentesaplicacionalcasoargentino
AT linaressantiago modelodesimulaciondelcovid19basadoenagentesaplicacionalcasoargentino
bdutipo_str Repositorios
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