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The article analyzes the populations assessment of their own health and attitude to a healthy lifestyle in the context of distribution by age groups. Of particular interest is the presence of transformations taking into account the complex epidemiological situation, the increase in the incidence of coronavirus infection in the population (the peak of the incidence came during the period of selective observation in 2020). The article assesses the closeness of the relationship between the respondents belonging to a particular socio-demographic group and their social well-being during the period of self-isolation, quarantine or other restrictions imposed during the coronavirus pandemic in 2020. To solve this problem, the demographic and socio-economic characteristics of respondents are presented, the distribution of responses according to the survey results is estimated and the most significant factor characteristics are selected. The distributions of respondents responses are presented for the selected questions. To determine the closeness of the relationship between the respondents answers to the question and their gender or age distribution, the coefficients of mutual conjugacy and rank correlation coefficients were calculated and analyzed. The ultimate goal of the analytical component of this study is to determine the social well-being of the Russian population during the pandemic on the basis of sample survey data. As a result of the analysis of changes for the period 2019-2020, the assessment of the closeness of communication revealed the parameters that form differences (gender, wealth, territory of residence).
We analyse the distribution and the flows between different types of employment (self-employment, temporary, and permanent), unemployment, education, and other types of inactivity, with particular focus on the duration of the school-to-work transitio
Because of the ongoing Covid-19 crisis, supply chain management performance seems to be struggling. The purpose of this paper is to examine a variety of critical factors related to the application of contingency theory to determine its feasibility in
The article presents the results of multivariate classification of Russian regions by the indicators characterizing the population income and their concentration. The clusterization was performed upon an author approach to selecting the characteristi
How has the science system reacted to the early stages of the COVID-19 pandemic? Here we compare the (growing) international network for coronavirus research with the broader international health science network. Our findings show that, before the ou
We provide quantitative predictions of first order supply and demand shocks for the U.S. economy associated with the COVID-19 pandemic at the level of individual occupations and industries. To analyze the supply shock, we classify industries as essen