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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.


DengueME output. Time series of (a) susceptible, infected and recovered humans and (b) susceptible and infected mosquitoes, generated by DengueME simulations [63].
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ijerph-13-00920-f011: DengueME output. Time series of (a) susceptible, infected and recovered humans and (b) susceptible and infected mosquitoes, generated by DengueME simulations [63].

Mentions: Figure 11a shows the time series of susceptible, infected and recovered humans, and Figure 11b shows the time series of susceptible and infected mosquitoes, respectively. Control strategies were not implemented in this experiment; only human and mosquito mobility and the virus transmission were considered. Despite this, modeling the dengue transmission dynamics is a powerful tool for evaluating control strategies, such as vaccine programs (e.g., [112,113,114,115,116,117]), as well as strategies like public education programs or the use of mosquito repellents.


DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics †
DengueME output. Time series of (a) susceptible, infected and recovered humans and (b) susceptible and infected mosquitoes, generated by DengueME simulations [63].
© Copyright Policy
Related In: Results  -  Collection

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

ijerph-13-00920-f011: DengueME output. Time series of (a) susceptible, infected and recovered humans and (b) susceptible and infected mosquitoes, generated by DengueME simulations [63].
Mentions: Figure 11a shows the time series of susceptible, infected and recovered humans, and Figure 11b shows the time series of susceptible and infected mosquitoes, respectively. Control strategies were not implemented in this experiment; only human and mosquito mobility and the virus transmission were considered. Despite this, modeling the dengue transmission dynamics is a powerful tool for evaluating control strategies, such as vaccine programs (e.g., [112,113,114,115,116,117]), as well as strategies like public education programs or the use of mosquito repellents.

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.