Developing a framework for modeling and simulating aedes aegypti and dengue fever dynamics

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dc.contributor.authorLima, Tiago F. M.
dc.contributor.authorCarneiro, Tiago G. S.
dc.contributor.authorLana, Raquel M.
dc.contributor.authorCodeço, Cláudia T.
dc.contributor.authorMaretto, Raian V.
dc.contributor.authorMedeiros, Liliam C. C. [UNESP]
dc.contributor.authorSilva, Leandro G.
dc.contributor.authorSantos, Leonardo B. L.
dc.contributor.authorDos Reis, Isabel C.
dc.contributor.authorCoelho, Flávio Codeço
dc.contributor.authorMonteiro, Antônio M. V.
dc.contributor.institutionComputer Science Department, TerraLAB - Earth System Modeling and Simulation Laboratory, Federal University of Ouro Preto (UFOP)
dc.contributor.institutionNational School of Public Health (ENSP), Oswaldo Cruz Foundation (Fiocruz)
dc.contributor.institutionDivision of Image Processing (DPI), National Institute for Space Research (INPE)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionGetúlio Vargas Foundation (FGV), School of Applied Mathematics
dc.date.accessioned2022-04-28T18:59:50Z
dc.date.available2022-04-28T18:59:50Z
dc.date.issued2013-01-01
dc.description.abstractDengue fever is a challenging complex transmissible disease due to its unstable temporal and spatial dynamics. Modeling is a powerful tool to understand disease dynamics and to evaluate costs, benefits and effectiveness of control strategies. In order to assist decision-makers and researchers in the evaluation and proposition of new strategies, we present DengueME, a collaborative open source platform for dengue modeling. It provides an environment for easy implementation of compartmental and individual-based models over a geographic database, combining modules describing Aedes aegypti's life cycle, human demography, human mobility, urban landscape and dengue transmission.en
dc.description.affiliationDepartment of Computer and Systems, LEDS - Laboratory of Engineering and Development of Systems, Federal University of Ouro Preto (UFOP), Ouro Preto - MG
dc.description.affiliationComputer Science Department, TerraLAB - Earth System Modeling and Simulation Laboratory, Federal University of Ouro Preto (UFOP), Ouro Preto - MG
dc.description.affiliationNational School of Public Health (ENSP), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro - RJ
dc.description.affiliationDivision of Image Processing (DPI), National Institute for Space Research (INPE), São José Dos Campos - SP
dc.description.affiliationInstitute of Science and Technology Sao Paulo State University (UNESP), São José Dos Campos - SP
dc.description.affiliationGetúlio Vargas Foundation (FGV), School of Applied Mathematics, Rio de Janeiro - RJ
dc.description.affiliationUnespInstitute of Science and Technology Sao Paulo State University (UNESP), São José Dos Campos - SP
dc.format.extent142-146
dc.identifier.citationProceedings of the Brazilian Symposium on GeoInformatics, p. 142-146.
dc.identifier.issn2179-4847
dc.identifier.scopus2-s2.0-84899675564
dc.identifier.urihttp://hdl.handle.net/11449/220140
dc.language.isoeng
dc.relation.isnodouble187064*
dc.relation.isnodouble257966*
dc.relation.ispartofProceedings of the Brazilian Symposium on GeoInformatics
dc.sourceScopus
dc.subjectControl strategies
dc.subjectDecision makers
dc.subjectDisease dynamics
dc.subjectGeographic database
dc.subjectIndividual-based models
dc.subjectModeling and simulating
dc.subjectOpen source platforms
dc.subjectTemporal and spatial dynamics
dc.titleDeveloping a framework for modeling and simulating aedes aegypti and dengue fever dynamicsen
dc.typeTrabalho apresentado em evento

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