Authors:
Willian Cordeiro Farago
;
Alcione de Paiva Oliveira
;
Rodrigo Siqueira-Batista
;
Andréia Patrícia Gomes
;
Juliana Lopes Rangel Fietto
;
Fábio Ribeiro Cerqueira
and
Luiz Alberto Santana
Affiliation:
Universidade Federal de Viçosa, Brazil
Keyword(s):
Multiagent System, Immune System Simulation, Chagas’ Disease.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Applications of Expert Systems
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Intelligent Agents
;
Internet Technology
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
Chagas’ disease presents a wide distribution in Latin America. Some epidemiological studies show that there are a prevalence of 16 to 18 million people affected by the disease and at least 100 million people at risk of being infected on these areas. Recently, due to the globalization, the disease, which was previously endemic only in countries of Central America and South America, is now presenting cases in other regions such as North America and Europe. Trypanosoma cruzi, the etiological agent, has the ability to promote changes in the tissues of the vertebrate host with significant morbidity, according to the degree of infection. This article presents a simulation of the human immune system using a multiagent system approach. More specifically, we propose a simulation study aimed at the acute phase of Chagas’ disease, related to the macrophage-Trypanosoma interaction. The simulation showed that the initial number of T. cruzi influences in the outcome of infection and was found a re
lationship between the escape factor and the total elimination of T. cruzi.
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