A framework for modeling and simulating Aedes aegypti and Dengue fever dynamics
Lima, Tiago; Carneiro, Tiago; Silva, Leandro; Lana, Raquel; Codeço, Claudia; Reis, Izabel; Maretto, Raian Vargas; Santos, Leonardo; Monteiro, Antônio M. V.; Medeiros, Liliam; Coelho, Flávio Codeço
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Resumo
Dengue fever represents a great challenge for many countries, and methodologies to prevent and/or control its transmission have been largely discussed by the research community. Modeling is a powerful tool to understand epidemic dynamics and to evaluate costs, benefits and effectiveness of control strategies. In order to assist decision-makers and researchers in the evaluation of different methodologies, we developed DengueME, a collaborative open source platform to simulate dengue disease and its vector's dynamics. DengueME provides a series of compartmental and individual-based models, implemented over a GIS database, that represents the Aedes aegypti's life cycle, human demography, human mobility, urban landscape and dengue transmission. The platform is designed to allow easy simulation of intervention scenarios. A GUI was developed to facilitate model configuration and data input.
Ficha do documento
- Tipo
- Artigo científico
- Ano
- 2014
- Instituição
- IEEE
- Fonte
- Repositório da FGV
- Idioma
- Inglês
- Acesso
- Acesso restrito
- Identificador
- oai:repositorio.fgv.br:10438/23668
- Temas
- Tecnologia
- Palavras-chave
- BrazilDipteraTransmissionTecnologiaDengueAedes aegypti
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