Scientific Journal of KubSAU

Today, infectious diseases remain a leading cause of premature deaths in the world. Agent-based modeling can play an important role in predicting the spread of disease and to assess the containment measures. The aim is to construct a multi-agent simulation model for the formation of epidemic measures to reduce effectively their incidence. Using the multi-agent simulation approach to modeling of epidemics due to the fact that the approach allows us to consider a number of factors influencing the epidemic process, makes it possible to carry out numerical experiments. The processes of the spatial distribution and temporal variation of these two groups of epidemics of infectious the author calls dynamics. Usually hard-implemented spatial components of the dynamics in the proposed model can be substituted by predfractal topology of the graph, which is built up by voluminous graphs - primers, and the dynamics of compounding prefractal graph, called its recognition, is responsible for the timing of the process component. Under the term of agent, we consider an elementary study participant. An agent is active; it is in a state that may change under the influence of factors. The properties of the agent are attributed characteristics that form the level of immunity: height, weight, gender, income, marital status, education, geography