An agent-based model for assessment of aedes aegypti pupal productivity
Borges, Francisco (Universitat Autònoma de Barcelona)
Gutierrez-Milla, Albert (Universitat Autònoma de Barcelona)
Suppi Boldrito, Remo (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
Luque, Emilio (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
Brito-Arduino, M. (São Paulo (Brasil). Department of Health)

Imprint:	IEEE, 2015
Description:	12 pàg.
Abstract:	Dengue is a febrile disease whose main vector transmitter is the Aedes Aegypti mosquito. This disease has an annual register of 50 million infections worldwide. Simulations are an important tool in helping to combat and prevent the epidemic and, consequently, save lives and resources. Therefore, in this paper, we propose an Agent-Based Model for assessment of the pupal productivity of the Aedes Aegypti mosquito. In this model, the reproduction of the mosquito takes into account the productivity of each type of container. The preliminary results show the effects of considering the pupal productivity for the control and prevention of dengue. As a result, we observed that the prevention methods must consider pupal productivity and that the distance between containers might leverage productivity and increase transmission risk. We verify the completeness and functionality of the model through experimentation using Netlogo.
Grants:	Ministerio de Economía y Competitividad TIN2014-53172-P Ministerio de Economía y Competitividad TIN2011-24384
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Language:	Anglès
Document:	Capítol de llibre ; recerca ; Versió acceptada per publicar
Subject:	Containers ; Productivity ; Sociology ; Statistics ; Indexes ; Organizations ; Biological system modeling
Published in:	2015 Winter Simulation Conference (WSC), 2015, p. 159-170, ISBN 978-1-4673-9743-8

DOI: 10.1109/WSC.2015.7408161

Postprint 13 p, 717.3 KB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Engineering > HPC4EAS (High Performance Computing for Efficient Applications and Simulation Research Group)
Books and collections > Book chapters