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DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics

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Departamento de Computação e Sistemas (DECSI), Instituto de Ciências Exatas e Aplicadas (ICEA), Universidade Federal de Ouro Preto (UFOP) - Campus João Monlevade, João Monlevade, MG 35931-008, Brasil
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Programa Pós-Graduação em Epidemiologia em Saúde Pública, Escola Nacional de Saúde Pública Sérgio Arouca (ENSP), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ 21045-900, Brasil
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Departamento de Computação (DECOM), Instituto de Ciências Exatas e Biológicas (ICEB), Universidade Federal de Ouro Preto (UFOP) - Campus Morro do Cruzeiro, Ouro Preto, MG 35400-000, Brasil
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Programa de Computação Científica (PROCC), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ 21045-900, Brasil
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Instituto de Ciência e Tecnologia, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José dos Campos, SP 12247-004, Brasil
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Departamento de Ciência da Computação (DCC), Instituto de Ciências Exatas (ICEx), Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG 31270-010, Brasil
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Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Proceedings of the Winter Simulation Conference 2014, by IEEE, entitled A framework for modeling and simulating Aedes aegypti and dengue fever dynamics (doi:10.1109/WSC.2014.7020001)
Academic Editor: Peter Congdon
Int. J. Environ. Res. Public Health 2016, 13(9), 920; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13090920
Received: 15 May 2016 / Revised: 17 August 2016 / Accepted: 1 September 2016 / Published: 15 September 2016
(This article belongs to the Special Issue Spatio-temporal Frameworks for Infectious Disease Epidemiology)
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. View Full-Text
Keywords: modeling; simulation; dengue; Aedes aegypti; framework; spatiotemporal; model; DengueME modeling; simulation; dengue; Aedes aegypti; framework; spatiotemporal; model; DengueME
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MDPI and ACS Style

De Lima, T.F.M.; Lana, R.M.; De Senna Carneiro, T.G.; Codeço, C.T.; Machado, G.S.; Ferreira, L.S.; De Castro Medeiros, L.C.; Davis Junior, C.A. DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics. Int. J. Environ. Res. Public Health 2016, 13, 920. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13090920

AMA Style

De Lima TFM, Lana RM, De Senna Carneiro TG, Codeço CT, Machado GS, Ferreira LS, De Castro Medeiros LC, Davis Junior CA. DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics. International Journal of Environmental Research and Public Health. 2016; 13(9):920. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13090920

Chicago/Turabian Style

De Lima, Tiago F.M., Raquel M. Lana, Tiago G. De Senna Carneiro, Cláudia T. Codeço, Gabriel S. Machado, Lucas S. Ferreira, Líliam C. De Castro Medeiros, and Clodoveu A. Davis Junior 2016. "DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics" International Journal of Environmental Research and Public Health 13, no. 9: 920. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13090920

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