Name
Utakaeva Irina Hayrlyevna
Scholastic degree
•
Academic rank
—
Honorary rank
—
Organization, job position
North-Caucasian State Humanitarian Technological Academy
Web site url
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Articles count: 1
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