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DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics †
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....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036753/ https://www.ncbi.nlm.nih.gov/pubmed/27649226 http://dx.doi.org/10.3390/ijerph13090920 |
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author | de Lima, Tiago França Melo Lana, Raquel Martins de Senna Carneiro, Tiago Garcia Codeço, Cláudia Torres Machado, Gabriel Souza Ferreira, Lucas Saraiva de Castro Medeiros, Líliam César Davis Junior, Clodoveu Augusto |
author_facet | de Lima, Tiago França Melo Lana, Raquel Martins de Senna Carneiro, Tiago Garcia Codeço, Cláudia Torres Machado, Gabriel Souza Ferreira, Lucas Saraiva de Castro Medeiros, Líliam César Davis Junior, Clodoveu Augusto |
author_sort | de Lima, Tiago França Melo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5036753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-50367532016-09-29 DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics † de Lima, Tiago França Melo Lana, Raquel Martins de Senna Carneiro, Tiago Garcia Codeço, Cláudia Torres Machado, Gabriel Souza Ferreira, Lucas Saraiva de Castro Medeiros, Líliam César Davis Junior, Clodoveu Augusto Int J Environ Res Public Health Review 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. MDPI 2016-09-15 2016-09 /pmc/articles/PMC5036753/ /pubmed/27649226 http://dx.doi.org/10.3390/ijerph13090920 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review de Lima, Tiago França Melo Lana, Raquel Martins de Senna Carneiro, Tiago Garcia Codeço, Cláudia Torres Machado, Gabriel Souza Ferreira, Lucas Saraiva de Castro Medeiros, Líliam César Davis Junior, Clodoveu Augusto DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics † |
title | DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics † |
title_full | DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics † |
title_fullStr | DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics † |
title_full_unstemmed | DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics † |
title_short | DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics † |
title_sort | dengueme: a tool for the modeling and simulation of dengue spatiotemporal dynamics † |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036753/ https://www.ncbi.nlm.nih.gov/pubmed/27649226 http://dx.doi.org/10.3390/ijerph13090920 |
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