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

T.F.M. Lima, T.G.S. Carneiro, R.M. Lana, C.T. Codeço, R.V. Maretto, L.C.C. Medeiros, L.G. Silva, L.B.L. Santos, I.C. Dos Reis, F.C. Coelho, A.M.V. Monteiro

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Dengue fever represents a great challenge for many countries, and methodologies to prevent and/or control its transmission have been largely discussed by the research community. Modeling is a powerful tool to understand epidemic dynamics and to evaluate costs, benefits and effectiveness of control strategies. In order to assist decision-makers and researchers in the evaluation of different methodologies, we developed
DengueME, a collaborative open source platform to simulate dengue disease and its vector’s dynamics. DengueME provides a series of compartmental and individual-based models, implemented over a GIS database, that represents the Aedes aegypti’s life cycle, human demography, human mobility, urban landscape and dengue transmission. The platform is designed to allow easy simulation of intervention scenarios. A GUI was developed to facilitate model configuration and data input.
Original languageEnglish
Title of host publicationProceedings of the 13th Brazilian Symposium on Geoinformatics
Subtitle of host publicationGeoInfo 2013
Number of pages5
Publication statusPublished - Nov 2013
Externally publishedYes
Event13th Brazilian Symposium on Geoinformatics, GeoInfo 2013 - Campos do Jordão, São Paulo, Brazil
Duration: 24 Nov 201327 Nov 2013
Conference number: 13

Publication series

NameGeoInfo Series
ISSN (Electronic)2179-4847


Conference13th Brazilian Symposium on Geoinformatics, GeoInfo 2013
Abbreviated titleGeoInfo 2013
CitySão Paulo


  • ITC-CV


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