Agent Based Computing Technique for Epidemiological Disease Modelling
Agent-Based Models (ABM) have become
popular as tools for epidemiological simulations due to their
ability to model real life phenomena at individual entity levels.
ABM is a relatively new area for modelling as compared to the
classical modelling methods. Many different fields use agentbased models including ecology, demography, geography,
political science and epidemiology. Recently, an abundance of
literature has presented applications of agent-based modeling
in the biological systems. In this paper, the authors present an
agent-based model attempts to simulate an epidemiological
disease known as Cutaneous Leishmaniasis (CL). The model is
developed to investigate the ability of ABM in modelling a
disease that keeps speeding in Libya. The methodology used
for describing and designing CL model is derived from nature
of the disease mechanism. The ABM model involves three
types of agents: Human, Rodent and Sand-fly. Each agent has
its own properties, in addition to other global parameters
which affect the human infection processes. The main
parameter used for monitoring the model's performance is the
number of people infected. The model experiments are
designed to investigate ABM’s performance in modeling CL
disease. Simulation results show that human infection rate is
increasing or decreasing dependent on number of sand-fly
vectors, number of host rodents, and human population
awareness level arabic 7 English 62
Rudwan A. Husain, Hala Shaar, Marwa Solla, Hassan A. H. Ebrahem(3-2019)
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