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Title: DengueME : a tool for the modeling and simulation of dengue spatiotemporal dynamics.
Authors: Lima, Tiago França Melo de
Lana, Raquel Martins
Carneiro, Tiago Garcia de Senna
Codeço, Cláudia Torres
Machado, Gabriel Souza
Ferreira, Lucas Saraiva
Medeiros, Líliam César de Castro
Davis Junior, Clodoveu Augusto
Keywords: Modeling
Aedes aegypti
Issue Date: 2016
Citation: LIMA, T. F. M. de et al. DengueME: a tool for the modeling and simulation of dengue spatiotemporal dynamics. International Journal of Environmental Research and Public Health, v. 13, p. 920, 2016. Disponível em: <>. Acesso em: 02 out. 2017.
Abstract: The 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.
ISSN: 1660-4601
metadata.dc.rights.license: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( Fonte: o próprio artigo.
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