The impact of the COVID-19 pandemic on the world of scientific publications: rapid publication and simplified access for articles about the virus, open access for a time of self-isolation in the world, and in Russia. There is an impressive difference between the number of readers for Russian scientific articles in open access and in paid access. The policy of journals of the Russian Academy of Sciences. Impressive growth in readership of CyberLeninka. Online meeting of the dissertation council. eLibrary news. Comprehensive publication activity score from the Ministry of education and science.

The COVID-19 pandemic makes the problem of monitoring and analyzing the movement of people indoors more urgent in order to timely identify those who have been in contact with the sick and prevent further spread of the infection.

The article proposes one of the ways to solve this problem - the development of a system for determining and saving the history of the location of people inside the premises. The article also discusses methods, parameters and technologies that can be used to solve the problem of indoor localization.

Modern information and communication technologies, elements of digitalization are constantly and rapidly developing, which, in turn, has a direct impact on all spheres of human activity. In the light of recent events related to the collapse of the tourism business due to COVID-19, there is a great scientific interest in the service sector, namely in the field of "digital tourism". Digital tourism relies on the widespread adoption of new technologies such as social media and mobile technologies, smart devices and sensors to collect and use massive amounts of data to create new value propositions. In this regard, the authors set a goal – to present a review of the literature on "digital tourism" from the standpoint of scientific and media discourse. The authors present a comprehensive scientific approach, including the sequential implementation of all stages of the review, from the definition of the terminological core of the interdisciplinary direction, the formation of search queries, cascade search, selection and content analysis of materials to the identification and explication of contexts. The sources of information for preparing the review were publications from academic databases: Web of Science, Science-Direct, Scopus, GoogleScholar, eLibrary, Cyberleninka, as well as materials and publications in Russian-language media – Integrum.

The results obtained by the authors will be useful for scientists in identifying promising areas of research in the field of "digital tourism", as well as deepen their knowledge of mechanisms for searching, collecting and analyzing data and integrated and analytical environments.

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.