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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

ISBN: 978-989-758-187-8

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 rel ationship between the escape factor and the total elimination of T. cruzi. (More)

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Paper citation in several formats:
Farago, W.; Oliveira, A.; Siqueira-Batista, R.; Gomes, A.; Fietto, J.; Cerqueira, F. and Santana, L. (2016). A Multiagent-based Simulation of the Infection of the Macrophage by Trypanosoma Cruzi in the Acute Phase of Chagas’ Disease: Influence of the Initial Inoculum and Protozoan Escape Factor.In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 29-38. DOI: 10.5220/0005761400290038

@conference{iceis16,
author={Willian Cordeiro Farago. and Alcione de Paiva Oliveira. and Rodrigo Siqueira{-}Batista. and Andréia Patrícia Gomes. and Juliana Lopes Rangel Fietto. and Fábio Ribeiro Cerqueira. and Luiz Alberto Santana.},
title={A Multiagent-based Simulation of the Infection of the Macrophage by Trypanosoma Cruzi in the Acute Phase of Chagas’ Disease: Influence of the Initial Inoculum and Protozoan Escape Factor},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={29-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005761400290038},
isbn={978-989-758-187-8},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Multiagent-based Simulation of the Infection of the Macrophage by Trypanosoma Cruzi in the Acute Phase of Chagas’ Disease: Influence of the Initial Inoculum and Protozoan Escape Factor
SN - 978-989-758-187-8
AU - Farago, W.
AU - Oliveira, A.
AU - Siqueira-Batista, R.
AU - Gomes, A.
AU - Fietto, J.
AU - Cerqueira, F.
AU - Santana, L.
PY - 2016
SP - 29
EP - 38
DO - 10.5220/0005761400290038

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