Agent-model based on flame GPU for assessing pupal productivity of the transmitting vector of Aedes aegypti infectious diseases
Dengue, Zika and chikungunya are among the infectious diseases that have emerged in recent years. The common denominator to these three is their transmitting vector: the Aedes aegypti mosquito. Due to sanitary reasons, it is highly important that the vector for transmitting these diseases be control...
| Autores: | , , |
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:306125 |
| Acceso en línea: | https://ddd.uab.cat/record/306125 https://dx.doi.org/urn:doi:10.46354/i3m.2019.mas.019 |
| Access Level: | acceso abierto |
| Palabra clave: | Agent-based model FLAME GPU GPU Infectious diseases SDG 3 - Good Health and Well-being |
| Sumario: | Dengue, Zika and chikungunya are among the infectious diseases that have emerged in recent years. The common denominator to these three is their transmitting vector: the Aedes aegypti mosquito. Due to sanitary reasons, it is highly important that the vector for transmitting these diseases be controlled through the implementation of strategies specifically designed for each situation. In this article, the creation of an agent-based simulation model that allows assessing control strategies and policies through parallel computing on GPU is proposed. High Performance Computing is necessary due to the large volume of data that has to be processed (hundreds of thousands of agents) to obtain results within an acceptable time frame. Model validation was done at small scale with an analogous model on CPU and NetLogo and using data from an real system. In this article, the implementation, scalability and potential of this model as decision support system (DSS) are presented. |
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