The article begins with a small paragraph on why it is necessary to carefully assess operational data on morbidity and mortality from coronavirus. Further, the author discusses the complex of possible geo-spatial, demographic, socio-economic, socio-cultural and political factors of unequal impact of morbidity and overmortality from COVID-19 on various social groups and territories; hypothesize about the demographic and gender consequences of the pandemic and its accompanying economic recession in the short-term and long-term period. The author comes to the conclusion that the pandemic will have minor demographic consequences or won’t have any. And despite a number of negative effects, the pandemic offers a window of opportunity for the development of gender equality.

This paper offers spatial analysis of the coronavirus spread, testing and implementation of restrictive measures in the framework of social distancing within countries and Russian regions. The geography of the spread of the disease in the municipalities of the Central Federal District is presented, the speed and direction of the shift of the «center» of disease concentration are estimated. The paper uses geographical data, operational statistics on morbidity, deaths from COVID-19 and tests, official documents on restrictive measures within the framework of social distancing (on 10 April 2020). The mapping is performed on the ArcGIS geo-information platform. Some interpretations of spatial differentiation of traceable indicators are proposed.

Social networks have a huge potential for the reflection of public opinion, values, and attitudes. In this study, the presented approach can allow to continuously measure how cold “the demographic temperature” is based on data taken from the Russian social network VKontakte. This is the first attempt to analyze the sentiment of Russian-language comments on social networks to determine the demographic temperature (ratio of positive and negative comments) in certain socio-demographic groups of social network users. The authors use generated data from the comments to posts from 314 pro-natalist groups (with child-born reproductive attitudes) and eight anti-natalist groups (with child-free reproductive attitudes) on the demographic topic, which have 9 million of users from all over Russia. The algorithm of the sentiment analysis for demographic tasks is presented in the article. In particularly, it was found that comments under posts are more suitable for analyzing the sentiment of statements than the texts of posts. Using the available data in two types of groups since 2014, we find an asynchronous structural shift in comments of the corpuses of pro-natalist and anti-natalist thematic groups. Interpretations of the evidences are offered in the discussion part of the article. An additional result of our work is two open Russian-language datasets of comments on social networks.

Purpose Focuses on the social and demographic features of inbound and outbound Russian travelers, in particular, on target groups of travelers and the challenges they face in Russia. Design/methodology/approach Draws on analysis of Synovate Comcon Russian Target Group Index and TNS Marketing Index databases, Rosstat data, expert round table discussion with author participation and observation and interviews in tourist-related sites during 2014-2015. Findings The most important factors for domestic tourism are family status, employment, income and education. Demographic target groups for internal tourism in Russia include: low-income retired persons; groups of students; working qualified experts and family travelers. The most important factors affecting external travel are region of residence, the size of the city and income status. Political challenges (including the closure of Russians of destinations in Egypt and Turkey) tend to reinforce economic crisis and national currency depreciation. Nevertheless, forecasts of industry development predict a slow recovery over the next few years up to 2019. Originality/value Outlines the demographic and social target groups of inbound and outbound Russian travelers described in the context of new circumstances in Russia. This information could be used by practitioners to develop travel and tourist packages for Russian tourists.

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