EPIGUI: Graphical User Interface for Simulating Epidemics on Networks

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorMaynooth University-
Autor(es): dc.contributorAGH University of Science and Technology-
Autor(es): dc.creatorPinto, E. R.-
Autor(es): dc.creatorNepomuceno, E. G.-
Autor(es): dc.creatorKusak, J.-
Autor(es): dc.creatorCampanharo, A. S. L. O.-
Data de aceite: dc.date.accessioned2025-08-21T22:48:41Z-
Data de disponibilização: dc.date.available2025-08-21T22:48:41Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-03-27-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.5540/tcam.2022.024.01.00091-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/244895-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/244895-
Descrição: dc.descriptionThis paper presents a graphical interface called EPIGUI, which allows the study of the dynamics of an infectious disease spread using compartmental models in combination with complex networks. This interface aims at considering stochastic factors that govern the evolution of an infection in a network. Moreover, it provides simple tools to create networks of agents and to define the epidemiological parameters of outbreaks. There are six common infectious disease models (SI, SIS, SIR, SIRS, SEIR, and SEIRS) or a user can provide another model, combining compartments. Moreover, in the simulations the user can either include a synthetic network generated according to a network model (random, small-world, scalefree, modular, or hierarchical) or a real network. This approach can help understand the paths followed by outbreaks in a given community and design new strategies to prevent and to control them.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionSão Paulo State University, Institute of Biosciences-
Descrição: dc.descriptionMaynooth University, Centre for Ocean Energy Research and Department of Electronic Engineering-
Descrição: dc.descriptionAGH University of Science and Technology, Faculty of Computer Science, Electronics and Telecommunications-
Descrição: dc.descriptionSão Paulo State University, Institute of Biosciences-
Descrição: dc.descriptionCAPES: 1770124-
Descrição: dc.descriptionFAPESP: 2018/25358-9-
Formato: dc.format91-120-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherSociedade Brasileira de Matemática Aplicada e Computacional - SBMAC-
Relação: dc.relationTrends in Computational and Applied Mathematics-
Direitos: dc.rightsinfo:eu-repo/semantics/openAccess-
???dc.source???: dc.sourceSciELO-
Palavras-chave: dc.subjectagent-based model-
Palavras-chave: dc.subjectcomplex networks-
Palavras-chave: dc.subjectinfectious diseases-
Palavras-chave: dc.subjectcomputational graphical interface-
Título: dc.titleEPIGUI: Graphical User Interface for Simulating Epidemics on Networks-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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