The consequences of the epidemics can be extremely negative, causing significant social and
economic losses. The perspectivity of using agent-based models for these purposes are substantiated
using agent-based models of epidemics developed by foreign researchers as examples. An analysis of
the architecture of agent-based models of epidemics is carried out, which allows determining the key
components for modeling epidemic processes. The advantages of the agent-based approach of
simulation are identified, which allow modeling the dynamics of the infectious diseases spread in a
heterogeneous synthetic population as close to real society as possible, as well as reproducing numbers of patterns and mechanisms of transmission of specific contagious diseases, taking into account
demographic, socio-economic and spatial factors. Applying the agent-based approach provides an
opportunity to study the progression of epidemic and infectious processes at a micro-level, as well as
run scenarios of epidemic outbreaks, test varied strategies for controlling the epidemic, and assess the
impact of multicomponent intervention strategies on the epidemic dynamics.
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