An agent-based model for the spread of the Dengue fever: a swarm platform simulation approach

Authors:
Luís F. O. Jacintho;André F. M. Batista;Terry L. Ruas;Maria G. B. Marietto;Fábio A. Silva
Affiliations:
Federal University of ABC - Centre of Mathematics, São Paulo -- Brazil;Federal University of ABC - Centre of Mathematics, São Paulo -- Brazil;Federal University of ABC - Centre of Mathematics, São Paulo -- Brazil;Federal University of ABC - Centre of Mathematics, São Paulo -- Brazil;Federal University of ABC - Centre of Mathematics, São Paulo -- Brazil
Venue:
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Year:
2010

Citing 2
Cited 1

Reactive distributed artificial intelligence: principles and applications

Foundations of distributed artificial intelligence
Simulation for the Social Scientist

Simulation for the Social Scientist

Modeling interruptions and patient flow in a preoperative hospital environment

Proceedings of the Winter Simulation Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

The dengue fever is today the most spread arbovirosis in Brazil. Transmitted only by the female Aedes aegypti mosquito, it reaches its peek during the hot and humid Brazilian summer season. While there are many approaches to analyze the spread of the dengue fever, most of them focus on developing a mathematical model to represent that process. One disadvantage of such approach is to neglect the importance of micro-level behavior, focusing instead on the macro-level aspects of the system. This work proposes an agent-based model of the spread of the dengue fever arbovirosis, where agents interact between themselves and the environment representing the process of dissemination of the disease. This model will be implemented and simulated through the Swarm platform and the simulation results will then be analyzed.