Summary: The paper applies information technology and mathematical modeling to examine the epidemiological characteristics of a large-scale problem, known as antimicrobial resistance. It describes a mathematical model constructed to emulate the process of spread of resistant bacteria in a hospital environment using system dynamics. The model includes several key parameters such as the contact rate between the members of different observed groups, the rate of treatment with antibiotic drugs and others.

Key words: system dynamics, computer simulation, antimicrobial resistance, antibiotic resistance.

Summary: The article studies a mathematical model for understanding the epidemiology of antimicrobial resistant bacteria in hospital. The model provides division of the population on three different groups relatively to the susceptible and resistant strains of a hypothetical bacteria and corresponding antibiotic drug. The differential equations are analyzed and simulated using AnyLogic 7 simulation software, which brings to the discussion of results.

Key words: system dynamics, computer simulation, antimicrobial resistance.