Dynamic Contact Network Simulation Model Based on Multi-Agent Systems

Abstract

Epidemic spread poses a new challenge to the public health community. Given its very rapid spread, public health decision makers are mobilized to fight and stop it by setting disposal several tools. This ongoing research aims to design and develop a new system based on multi-agent system, suscpetibleinfected-removed (SIR) model, and geographic information system (GIS) for public health officials. The proposed system aimed to find the real and responsible factors for the epidemic spread and explaining its emergence in human population. Moreover, it allows to monitor the disease spread in space and time and provides rapid early warning alert of disease outbreaks. In this paper, a multi-agent epidemic spread simulation system is proposed, discussed, and implemented. Simulation result shows that the proposed multi-agent disease spread system performs well in reflecting the evolution of the dynamic disease spread system’s behavior.