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

  • 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.


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. 


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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