Dengueme: A tool for the modeling and simulation of dengue spatiotemporal dynamics

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dc.contributor.authorde Lima, Tiago França Melo
dc.contributor.authorLana, Raquel Martins
dc.contributor.authorCarneiro, Tiago Garcia de Senna
dc.contributor.authorCodeço, Cláudia Torres
dc.contributor.authorMachado, Gabriel Souza
dc.contributor.authorFerreira, Lucas Saraiva
dc.contributor.authorde Castro Medeiros, Líliam César [UNESP]
dc.contributor.authorDavis Junior, Clodoveu Augusto
dc.contributor.institutionUniversidade Federal de Ouro Preto (UFOP) - Campus João Monlevade
dc.contributor.institutionFundação Oswaldo Cruz (Fiocruz)
dc.contributor.institutionUniversidade Federal de Ouro Preto (UFOP) - Campus Morro do Cruzeiro
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.date.accessioned2018-12-11T16:43:56Z
dc.date.available2018-12-11T16:43:56Z
dc.date.issued2016-09-15
dc.description.abstractThe prevention and control of dengue are great public health challenges for many countries, particularly since 2015, as other arboviruses have been observed to interact significantly with dengue virus. Different approaches and methodologies have been proposed and discussed by the research community. An important tool widely used is modeling and simulation, which help us to understand epidemic dynamics and create scenarios to support planning and decision making processes. With this aim, we proposed and developed DengueME, a collaborative open source platform to simulate dengue disease and its vector’s dynamics. It supports compartmental and individual-based models, implemented over a GIS database, that represent Aedes aegypti population dynamics, human demography, human mobility, urban landscape and dengue transmission mediated by human and mosquito encounters. A user-friendly graphical interface was developed to facilitate model configuration and data input, and a library of models was developed to support teaching-learning activities. DengueME was applied in study cases and evaluated by specialists. Other improvements will be made in future work, to enhance its extensibility and usability.en
dc.description.affiliationDepartamento de Computação e Sistemas (DECSI) Instituto de Ciências Exatas e Aplicadas (ICEA) Universidade Federal de Ouro Preto (UFOP) - Campus João Monlevade
dc.description.affiliationEscola Nacional de Saúde Pública Sérgio Arouca (ENSP) Fundação Oswaldo Cruz (Fiocruz)
dc.description.affiliationDepartamento de Computação (DECOM) Instituto de Ciências Exatas e Biológicas (ICEB) Universidade Federal de Ouro Preto (UFOP) - Campus Morro do Cruzeiro
dc.description.affiliationFundação Oswaldo Cruz (Fiocruz)
dc.description.affiliationInstituto de Ciência e Tecnologia Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
dc.description.affiliationDepartamento de Ciência da Computação (DCC) Instituto de Ciências Exatas (ICEx) Universidade Federal de Minas Gerais (UFMG)
dc.description.affiliationUnespInstituto de Ciência e Tecnologia Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
dc.identifierhttp://dx.doi.org/10.3390/ijerph13090920
dc.identifier.citationInternational Journal of Environmental Research and Public Health, v. 13, n. 9, 2016.
dc.identifier.doi10.3390/ijerph13090920
dc.identifier.file2-s2.0-84989329025.pdf
dc.identifier.issn1660-4601
dc.identifier.issn1661-7827
dc.identifier.scopus2-s2.0-84989329025
dc.identifier.urihttp://hdl.handle.net/11449/168994
dc.language.isoeng
dc.relation.ispartofInternational Journal of Environmental Research and Public Health
dc.relation.ispartofsjr0,735
dc.relation.ispartofsjr0,735
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAedes aegypti
dc.subjectDengue
dc.subjectDengueME
dc.subjectFramework
dc.subjectModel
dc.subjectModeling
dc.subjectSimulation
dc.subjectSpatiotemporal
dc.titleDengueme: A tool for the modeling and simulation of dengue spatiotemporal dynamicsen
dc.typeResenha

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