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

View Article: PubMed Central - PubMed

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.

No MeSH data available.


Diagram showing the modeling process using the DengueME Visual Development Environment [63].
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ijerph-13-00920-f003: Diagram showing the modeling process using the DengueME Visual Development Environment [63].

Mentions: DengueME was designed for users with no programming knowledge. The DengueME Visual Development Environment (VDE) helps users to perform the steps for developing models and defining scenarios. Its GUI provides wizards that guide users through the process, as shown in Figure 3. Users select a set of models and indicate the way they will be integrated. Then, they provide the parameters for each model and set options for output visualization and storage. User-defined settings and parameters (designed scenarios) can be stored for later use. After finishing all customization and parameterization, the TerraML source is automatically generated by the framework.


DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics †
Diagram showing the modeling process using the DengueME Visual Development Environment [63].
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5036753&req=5

ijerph-13-00920-f003: Diagram showing the modeling process using the DengueME Visual Development Environment [63].
Mentions: DengueME was designed for users with no programming knowledge. The DengueME Visual Development Environment (VDE) helps users to perform the steps for developing models and defining scenarios. Its GUI provides wizards that guide users through the process, as shown in Figure 3. Users select a set of models and indicate the way they will be integrated. Then, they provide the parameters for each model and set options for output visualization and storage. User-defined settings and parameters (designed scenarios) can be stored for later use. After finishing all customization and parameterization, the TerraML source is automatically generated by the framework.

View Article: PubMed Central - PubMed

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.

No MeSH data available.