The article is devoted to the consideration of methods for modeling epidemics in relation to COVID-19 and substantiation of ways to improve the efficiency of management decisions, taking into account the predicted consequences. The paper provides an overview of modeling methods for predicting and assessing the consequences of the epidemiological situation. The scientific novelty of the work lies in the use of decision support tools for the operational assessment of the situation and forecast of its development. For the task at hand, it is proposed to use a multi-agent approach to simulation.