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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.


Modeling and simulation using the DengueME VDE: (top left panel)—Wizard to support the creation/selection of models; (right panel)—Graphical interface for parameterization; (bottom left panel)— Execution of the model and visualization of the simulation results.
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ijerph-13-00920-f006: Modeling and simulation using the DengueME VDE: (top left panel)—Wizard to support the creation/selection of models; (right panel)—Graphical interface for parameterization; (bottom left panel)— Execution of the model and visualization of the simulation results.

Mentions: Starting with this model, implemented and accessible through the DengueME VDE, it is possible to create and analyze different scenarios. A possible scenario involves seeking to understand how the parameters affect transmission dynamics. As illustrated in Figure 3, the user can first create a project and use one of the models available in the library, by interacting with “wizards” (Figure 6, top left panel). After that, the second step (Figure 3, (re)design and configuration of scenarios) involves the parameterization of the model, using a user-friendly interface (Figure 6, right panel). Some default values are provided for the parameters. Thereafter, users can run the simulation, visualize results (Figure 6, bottom left panel) and save them for further analysis.


DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics †
Modeling and simulation using the DengueME VDE: (top left panel)—Wizard to support the creation/selection of models; (right panel)—Graphical interface for parameterization; (bottom left panel)— Execution of the model and visualization of the simulation results.
© Copyright Policy
Related In: Results  -  Collection

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

ijerph-13-00920-f006: Modeling and simulation using the DengueME VDE: (top left panel)—Wizard to support the creation/selection of models; (right panel)—Graphical interface for parameterization; (bottom left panel)— Execution of the model and visualization of the simulation results.
Mentions: Starting with this model, implemented and accessible through the DengueME VDE, it is possible to create and analyze different scenarios. A possible scenario involves seeking to understand how the parameters affect transmission dynamics. As illustrated in Figure 3, the user can first create a project and use one of the models available in the library, by interacting with “wizards” (Figure 6, top left panel). After that, the second step (Figure 3, (re)design and configuration of scenarios) involves the parameterization of the model, using a user-friendly interface (Figure 6, right panel). Some default values are provided for the parameters. Thereafter, users can run the simulation, visualize results (Figure 6, bottom left panel) and save them for further analysis.

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.