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

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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.


Related in: MedlinePlus

User’s evaluation of the DengueME graphical interface: (a) support for learning, using and understanding dengue models; (b) applicability potential for supporting decision making, researching and teaching [63].
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ijerph-13-00920-f012: User’s evaluation of the DengueME graphical interface: (a) support for learning, using and understanding dengue models; (b) applicability potential for supporting decision making, researching and teaching [63].

Mentions: An important goal of this study was to identify the applicability and potential use of DengueME in various activities. A large fraction of the participants evaluated its applicability potential for supporting research and teaching positively (Figure 12b). Some participants even demonstrated an interest in using it in class and in collaborating on the creation of new models. The participants were more divided when asked about its application as a tool to support decision making (Figure 12b). This could be explained in part by the difficulties found while using the current version, regarding the available help information and the need for users to understand the models (Figure 12a). Further effort is required to make DengueME more accessible for non-expert users (e.g., health workers).


DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics †
User’s evaluation of the DengueME graphical interface: (a) support for learning, using and understanding dengue models; (b) applicability potential for supporting decision making, researching and teaching [63].
© Copyright Policy
Related In: Results  -  Collection

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

ijerph-13-00920-f012: User’s evaluation of the DengueME graphical interface: (a) support for learning, using and understanding dengue models; (b) applicability potential for supporting decision making, researching and teaching [63].
Mentions: An important goal of this study was to identify the applicability and potential use of DengueME in various activities. A large fraction of the participants evaluated its applicability potential for supporting research and teaching positively (Figure 12b). Some participants even demonstrated an interest in using it in class and in collaborating on the creation of new models. The participants were more divided when asked about its application as a tool to support decision making (Figure 12b). This could be explained in part by the difficulties found while using the current version, regarding the available help information and the need for users to understand the models (Figure 12a). Further effort is required to make DengueME more accessible for non-expert users (e.g., health workers).

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.


Related in: MedlinePlus