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

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....

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Published in:International journal of environmental research and public health 2016-09, Vol.13 (9), p.920
Main Authors: de Lima, Tiago França Melo, Lana, Raquel Martins, de Senna Carneiro, Tiago Garcia, Codeço, Cláudia Torres, Machado, Gabriel Souza, Ferreira, Lucas Saraiva, de Castro Medeiros, Líliam César, Davis Junior, Clodoveu Augusto
Format: Article
Language:English
Subjects:
Aedes - growth & development
Aedes - virology
Animals
Dengue - epidemiology
Dengue - transmission
Dengue Virus
Geographic Information Systems
Humans
Insect Vectors - growth & development
Insect Vectors - virology
Models, Theoretical
Population Dynamics
Review
Spatio-Temporal Analysis
User-Computer Interface
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Summary: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
1661-7827
1660-4601
DOI:10.3390/ijerph13090920