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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.


Graphical interface of the DengueME Visual Development Environment (VDE) [63].
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ijerph-13-00920-f004: Graphical interface of the DengueME Visual Development Environment (VDE) [63].

Mentions: The GUI components of DengueME VDE are presented in Figure 4. The goal is to eliminate barriers related to using programming languages and to make it easier to use the framework. Its design works with the concepts of Workspace (working directory that contains the user’s projects), View (interface components for browsing and/or presenting information on projects and models), and Editor (interface components for editing models). Figure 4 illustrates some of these features: (a) the Project Explorer displays and allows navigation through projects and existing models within the workspace; (b) the Model Editor allows setting model parameters and scenarios (e.g., using the GUI to import meteorological and other data from text files or databases) and output options; (c) the Console view presents information and views derived from the simulations.


DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics †
Graphical interface of the DengueME Visual Development Environment (VDE) [63].
© Copyright Policy
Related In: Results  -  Collection

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

ijerph-13-00920-f004: Graphical interface of the DengueME Visual Development Environment (VDE) [63].
Mentions: The GUI components of DengueME VDE are presented in Figure 4. The goal is to eliminate barriers related to using programming languages and to make it easier to use the framework. Its design works with the concepts of Workspace (working directory that contains the user’s projects), View (interface components for browsing and/or presenting information on projects and models), and Editor (interface components for editing models). Figure 4 illustrates some of these features: (a) the Project Explorer displays and allows navigation through projects and existing models within the workspace; (b) the Model Editor allows setting model parameters and scenarios (e.g., using the GUI to import meteorological and other data from text files or databases) and output options; (c) the Console view presents information and views derived from the simulations.

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.