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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Institute of Physics
2005
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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. |
format | Online Article Text |
id | pubmed-7108765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | American Institute of Physics |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT simoesjoanamargarida spatialepidemicmodellinginsocialnetworks |