A framework for modeling and simulating Aedes aegypti and dengue fever dynamics

T. Lima; T. Carneiro; L. Silva; R. Lana; C. Codeco; I. Reis; R. Maretto; L. Santos; A.M.V. Monteiro; L. Medeiros; F. Coelho

doi:10.1109/WSC.2014.7020001

A framework for modeling and simulating Aedes aegypti and dengue fever dynamics

T. Lima, T. Carneiro, L. Silva, R. Lana, C. Codeco, I. Reis, R. Maretto, L. Santos, A.M.V. Monteiro, L. Medeiros, F. Coelho

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the Winter Simulation Conference 2014
Publisher	IEEE
Pages	1481-1492
Number of pages	12
ISBN (Electronic)	978-1-4799-7486-3
DOIs	https://doi.org/10.1109/WSC.2014.7020001
Publication status	Published - Jan 2015
Externally published	Yes

Keywords

ITC-CV

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title = "A framework for modeling and simulating Aedes aegypti and dengue fever dynamics",

abstract = "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.",

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year = "2015",

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doi = "10.1109/WSC.2014.7020001",

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A framework for modeling and simulating Aedes aegypti and dengue fever dynamics. / Lima, T.; Carneiro, T.; Silva, L.; Lana, R.; Codeco, C.; Reis, I.; Maretto, R.; Santos, L.; Monteiro, A.M.V.; Medeiros, L.; Coelho, F.

Proceedings of the Winter Simulation Conference 2014. IEEE, 2015. p. 1481-1492.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Lima, T.

AU - Carneiro, T.

AU - Silva, L.

AU - Lana, R.

AU - Codeco, C.

AU - Reis, I.

AU - Maretto, R.

AU - Santos, L.

AU - Monteiro, A.M.V.

AU - Medeiros, L.

AU - Coelho, F.

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AB - 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.

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