A framework for modeling and simulating Aedes aegypti and dengue fever dynamics

T. Lima, T. Carneiro, L. Silva, R. Lana, C. Codeco, I. Reis, R. Maretto, L. Santos, A.M.V. Monteiro, L. Medeiros, F. Coelho

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

4 Citations (Scopus)


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 Winter Simulation Conference 2014
Number of pages12
ISBN (Electronic)978-1-4799-7486-3
Publication statusPublished - Jan 2015
Externally publishedYes


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