Multi-agents Modeling and Simulation of the Spread of Tuberculosis in the City of Ngaoundéré (Cameroon)

Authors

  • Gazissou Balama Department of Mathematics and Computer Science, Faculty of Sciences, University of Ngaoundéré, Cameroon
  • Kamla Vivient Corneille Department of Mathematics and Computer Science, ENSAI, University of Ngaoundéré, Cameroon

Keywords:

AUML, Gaia, GAMA, Koch Bacillus, Multi-Agent System, OpenJUMP, tuberculosis, velocity.

Abstract

In this paper, a model based on Multi-Agent Systems (MAS) of the spread of tuberculosis in the city of Ngaoundéré is proposed. After studying the behavior of the population and treatment using the software "OpenJUMP" of the satellite image of the city of Ngaoundéré, a multi-agent modeling of the population including individual activities, contraction and evolution of tuberculosis is made. This modeling followed the Gaia approach and used the modeling language AUML. The satellite image was processed in the integrated simulation platform GAMA and simulations were made. The simulation results show that in the absence of treatment, the rate of spread of tuberculosis in the city of Ngaoundéré, denoted T0 strongly depends on the behavior of individuals, the quantity of Koch Bacillus (BK) released by a sick individual, the life of a BK in the air. The analysis of T0 shows that there is a threshold beyond which the disease is endemic and below which it disappears. 

References

P. Aubry. "La tuberculose à l’heure du sida", Actualités 2011.

N. Ait-Khaled, D. Enarson. "TUBERCULOSE Manuel pour les Etudiants en Médecine", OMS 1999.

OMS. "Rapport OMS 2011 sur la lutte contre la tuberculose dans le monde", OMS 2011.

F. Boulahbal, P. Chaulet. "La tuberculose en Afrique épidémiologie et mesures de lutte", Conférence 2004.

N. Lemaître. "Epidémiologie de la tuberculose et état de la résistance", DUACAI 2009.

Z. Feng, C. Castillo-Chavez, A.F. Capurro. "A Model for Tuberculosis with Exogenous Reinfection", 20th jan 1999.

B. Song, C. Castillo-Chavez, J.P. Aparicio. "Tuberculosis models with fast and slow dynamics: the role of close and casual contacts", 3 Apr 2002.

S. Bowong, Y. Emvudu, D.P. Moualeu, J.J. Tewa. "Mathematical properties of a tuberculosis model with two differential infectivity and N latent classes", 2010.

J.J. Tewa, S. Bowong, B. Mewoli, J. Kurths (2011). "Two-Patch Transmission of Tuberculosis, Mathematical Population Studies", pp.189-205.

J.J. Tewa, S. Bowong, S.C. Oukouomi. "Mathematical analysis of a two-patch model of tuberculosis disease with staged progression", 2012.

G.G. Kolaye. "Modélisation et simulation multi-agent de la propagation d’une épidémie de choléra : cas de la ville de Ngaoundéré. Modélisation mathématique de la trypanosomose animale", Mémoire de master 2, Université de Ngaoundéré, Cameroun, 2011.

T. Ganga. "Un modèle multi-agent de la communication entre ruches d’abeilles dans un système fermé", Mémoire de master 2, Université de Ngaoundéré, Cameroun, 2012.

J. Ferber. "Les systèmes multi-agents : Vers une intelligence collective", InterEditions, 1995.

Russell. "Rationality and intelligence". Artificial Intelligence, Vol. 94, 1997. pp.57-77.

Zambonelli, N.R. Jennings, M. Wooldridge, "Developing Multiagent Systems: The Gaia Methodology", 2003.

U. Dalluege, H. Hamburg "OpenJUMP Tutorial (basics)", 2006.

J.P.C. Kleijnen, "Sensitivity analysis and related analyses: a survey of statistical techniques", Netherlands: School of Management and Economics, Tilburg University, pp. 24, 1995.

http://gama-platform.googlecode.com. Consulté le 03 Juillet 2010, date de la dernière modification : 24 Juillet 2010.

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Published

2017-09-25

How to Cite

Balama, G., & Corneille, K. V. (2017). Multi-agents Modeling and Simulation of the Spread of Tuberculosis in the City of Ngaoundéré (Cameroon). International Journal of Computer (IJC), 27(1), 39–54. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1056

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