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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.


Using DengueME to simulate locally-applied chemical interventions. Comparison between the the vector population in the study area with and without the application of adulticide. (a) Global impact considering the entire study area; (b) local impact in a 100 × 100 m area [63].
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ijerph-13-00920-f009: Using DengueME to simulate locally-applied chemical interventions. Comparison between the the vector population in the study area with and without the application of adulticide. (a) Global impact considering the entire study area; (b) local impact in a 100 × 100 m area [63].

Mentions: Figure 9a shows the output of DengueME, showing the impact of the intervention at the scale of the whole island. Figure 9b shows the impact of this application in the local population. At the global scale, the intervention did not present a significant impact. However, at the local scale, its impact was significant for a few days. After this period, the population recovered, due to the low persistence of the simulated insecticide and the short period of application. The continuation of this work includes applying this model in different regions, using actual data, to estimate sites that require more attention from municipal epidemiological surveillance.


DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics †
Using DengueME to simulate locally-applied chemical interventions. Comparison between the the vector population in the study area with and without the application of adulticide. (a) Global impact considering the entire study area; (b) local impact in a 100 × 100 m area [63].
© Copyright Policy
Related In: Results  -  Collection

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

ijerph-13-00920-f009: Using DengueME to simulate locally-applied chemical interventions. Comparison between the the vector population in the study area with and without the application of adulticide. (a) Global impact considering the entire study area; (b) local impact in a 100 × 100 m area [63].
Mentions: Figure 9a shows the output of DengueME, showing the impact of the intervention at the scale of the whole island. Figure 9b shows the impact of this application in the local population. At the global scale, the intervention did not present a significant impact. However, at the local scale, its impact was significant for a few days. After this period, the population recovered, due to the low persistence of the simulated insecticide and the short period of application. The continuation of this work includes applying this model in different regions, using actual data, to estimate sites that require more attention from municipal epidemiological surveillance.

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.