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

dc.contributorEscolas::EMAp
dc.contributorFGV
dc.creatorLima, Tiago F. M.
dc.creatorCarneiro, Tiago Garcia de Senna
dc.creatorLana, Raquel Martins
dc.creatorCodeço, Claudia Torres
dc.creatorMaretto, Raian Vargas
dc.creatorMedeiros, Liliam C. C.
dc.creatorSilva, Leandro G.
dc.creatorSantos, Leonardo B. L.
dc.creatorReis, Isabel C. dos
dc.creatorCoelho, Flávio Codeço
dc.creatorMonteiro, Antônio M. V.
dc.date.accessioned2018-10-25T18:23:35Z
dc.date.accessioned2022-11-03T20:29:20Z
dc.date.available2018-10-25T18:23:35Z
dc.date.available2022-11-03T20:29:20Z
dc.date.created2018-10-25T18:23:35Z
dc.date.issued2013
dc.identifier2179-4847
dc.identifierhttp://hdl.handle.net/10438/25269
dc.identifier2-s2.0-84899675564
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5039364
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.
dc.description.abstractLIMA, T. F. et al. Developing a Framework for Modeling and Simulating Aedes aegypti and Dengue Fever Dynamics. In: SIMPOSIO BRASILEIRO DE GEOINFORMÁTICA, 14., 2013, Campos do Jordão. Anais..., Campos do Jordão: UNICAMP, 2013. p. 142-146.
dc.languageeng
dc.publisherNational Institute for Space Research, INPE
dc.relationProceedings of the Brazilian Symposium on GeoInformatics
dc.rightsopenAccess
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 dynamics
dc.typeConference Proceedings


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