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Spatial Epidemic Modelling in Social Networks

The spread of infectious diseases is highly influenced by the structure of the underlying social network. The target of this study is not the network of acquaintances, but the social mobility network: the daily movement of people between locations, in regions. It was already shown that this kind of...

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Autor principal: Simoes, Joana Margarida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Institute of Physics 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108765/
https://www.ncbi.nlm.nih.gov/pubmed/32255877
http://dx.doi.org/10.1063/1.1985395
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author Simoes, Joana Margarida
author_facet Simoes, Joana Margarida
author_sort Simoes, Joana Margarida
collection PubMed
description The spread of infectious diseases is highly influenced by the structure of the underlying social network. The target of this study is not the network of acquaintances, but the social mobility network: the daily movement of people between locations, in regions. It was already shown that this kind of network exhibits small world characteristics. The model developed is agent based (ABM) and comprehends a movement model and a infection model. In the movement model, some assumptions are made about its structure and the daily movement is decomposed into four types: neighborhood, intra region, inter region and random. The model is Geographical Information Systems (GIS) based, and uses real data to define its geometry. Because it is a vector model, some optimization techniques were used to increase its efficiency.
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spelling pubmed-71087652020-04-01 Spatial Epidemic Modelling in Social Networks Simoes, Joana Margarida AIP Conf Proc Article The spread of infectious diseases is highly influenced by the structure of the underlying social network. The target of this study is not the network of acquaintances, but the social mobility network: the daily movement of people between locations, in regions. It was already shown that this kind of network exhibits small world characteristics. The model developed is agent based (ABM) and comprehends a movement model and a infection model. In the movement model, some assumptions are made about its structure and the daily movement is decomposed into four types: neighborhood, intra region, inter region and random. The model is Geographical Information Systems (GIS) based, and uses real data to define its geometry. Because it is a vector model, some optimization techniques were used to increase its efficiency. American Institute of Physics 2005-06-21 /pmc/articles/PMC7108765/ /pubmed/32255877 http://dx.doi.org/10.1063/1.1985395 Text en All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Simoes, Joana Margarida
Spatial Epidemic Modelling in Social Networks
title Spatial Epidemic Modelling in Social Networks
title_full Spatial Epidemic Modelling in Social Networks
title_fullStr Spatial Epidemic Modelling in Social Networks
title_full_unstemmed Spatial Epidemic Modelling in Social Networks
title_short Spatial Epidemic Modelling in Social Networks
title_sort spatial epidemic modelling in social networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108765/
https://www.ncbi.nlm.nih.gov/pubmed/32255877
http://dx.doi.org/10.1063/1.1985395
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