Green High Performance Simulation for AMB models of Aedes aegypti/Simulacion Green de Alto Rendimiento de un Modelo Basado en Agentes del Mosquito Aedes aegypti

• Published in: Journal of Computer Science & Technology Vol. 20; no. 1; p. 15
• Main Authors: Oca, Erica Montes de, Suppi, Remo, Giusti, Laura De, Naiouf, Marcelo
• Format: Journal Article
• Language: Spanish
• Published: Graduate Network of Argentine Universities with Computer Science Schools (RedUNCI) 01.05.2020
• Subjects: Analysis; Diseases; Energy conservation; Energy consumption; Global temperature changes; Health aspects; Medical research; Medicine, Experimental; Mosquitoes
• ISSN: 1666-6046
• DOI: 10.24215/16666038.20.e02

The increase in temperature caused by the climate change has resulted in the rapid dissemination of infectious diseases. Given the alert for the current situation, the World Health Organization (WHO) has declared a state of health emergency, highlighting the severity of the situation in some countries. For this reason, coming up with knowledge and tools that can help control and eradicate the vectors propagating these diseases is of the utmost importance. High-performance modeling and simulation can be used to produce knowledge and strategies that allow predicting infections, guiding actions and/or training health/civil protection agents. The model developed as part of this research work is aimed at assisting the decision-making process for disease prevention and control, as well as evaluating the reproduction and predicting the evolution of the Aedes aegypti mosquito, which is the transmitting vector of the dengue, Zika and chikungunya diseases. Decision-making based on these models requires a large number of simulations to achieve results with statistical variability.