Open AccessSuggestions for Developing Tools to Improve the Effectiveness of Management in the Context of Epidemics
Author(s) -
Victor Ivanovich Baluta,
Владимир Петрович Осипов,
Татьяна Владимировна Сивакова
Publication year - 2021
Publication title -
èlektronnye biblioteki
Language(s) - English
Resource type - Journals
ISSN - 1562-5419
DOI - 10.26907/1562-5419-2021-24-1-20-41
Subject(s) - novelty , context (archaeology) , task (project management) , computer science , relation (database) , management science , risk analysis (engineering) , work (physics) , process management , covid-19 , knowledge management , operations research , data science , systems engineering , engineering , business , psychology , data mining , geography , mechanical engineering , social psychology , medicine , disease , pathology , infectious disease (medical specialty) , archaeology
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.