Agent-model based on flame GPU for assessing pupal productivity of the transmitting vector of Aedes aegypti infectious diseases

TitleAgent-model based on flame GPU for assessing pupal productivity of the transmitting vector of Aedes aegypti infectious diseases
Publication TypeConference Proceedings
Year of Conference2019
AuthorsMontes-de-Oca, E, Suppi, R, De Giusti, L, Naiouf, M
Conference NameInternational Conference on Modeling and Applied Simulation 2019 (MAS19)
Volume1
Pagination149-158
Date Published09/2019
PublisherDIME, Università di Genova
Conference LocationLisbon, Portugal
ISBN NumberISBN 978-88-85741-30-0 (paperback)
ISBNISBN 978-88-85741-29-4 (pdf)
Keywordsagent-based model, FLAME GPU, GPU, Infectious Diseases
Abstract

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.

URLhttp://www.msc-les.org/conf/mas2019/index.html
Campus d'excel·lència internacional U A B