Cross-border tourist mobility as seen by residents of the Karelian borderlands: COVID-19 restrictions
This article offers a new approach to evaluating the significance of cross-border tourism for residents of the border region of Karelia amid COVID-19 restrictions. The work draws on data of a municipal-level survey of the region’s population (575 people), conducted by the author in collaboration with Dr Ekaterina Shlapeko in 2021. Analysis of the survey results has confirmed the customariness ...
Application of spatial analysis of morbidity and mortality from COVID-19 (the case of the Pskov region)
Apart from biomedical and organizational issues, the emergence of the new coronavirus COVID-19 (SARS-CoV-2) pandemic, set large-scale tasks for creating and improving mathematical and information technologies that operate spatial data in statistical analysis and forecasting. The regional level is seen as a suitable choice for spatial analysis ...
The Impact of COVID-19 on immigration: the transformation of Norwegian migration policy on asylum seekers
... mobility and its scientific modelling, relied on the idea of unbounded growth at the sub-national, national and supra-national level. The article focuses on immigration to Norway, showing how institutional constraints were used to deal with the spread of COVID-19 and how they affected immigration to the country.
Due to complexity reasons, we focus exclusively on the situation of asylum seekers, giving additional attention to unaccompanied minors. These groups’ migration status is assumed to make ...
Response of the Lithuanian municipalities to the First Wave of COVID-19
This article analyses the response of Lithuanian local authorities to the first wave of COVID-19 with a special focus on the economic support measures they took. The main goal of this in-depth study is to compare the economic response measures included in the action plans of Riga and Tallinn, two large Lithuanian municipal administrations,...
Changes in the recreational and tourist load on the eco-system in the conditions of COVID-19
The tourism industry of the Kaliningrad region is one of the most dynamically developing components of the regional economy. Before the COVID-19 pandemic, the region's tourist volume was formed mainly due to external tourist flows. With the onset of the pandemic, there was a fear of an increase in the crisis situation in the industry, caused by a sharp decrease in the number of tourists ...
The specificities of healthcare corruption offences during the Covid-19 pandemic
... barrier to equal access of patients to medical care and related services, reducing the effectiveness of medical institutions, leading to waste and embezzlement of budgetary funds. The subject of this research is the study of factors of negative impact of COVID-19 pandemic on corruption crimes committed in the field of health care. Examples given in the article allow us to identify circumstances that require special attention during the investigation of criminal cases of the relevant direction, because ...
Statistical analysis of tourism flows between Ukraine and the Baltic Sea Region countries in 2012—2019
... flow prevailed over inbound. The number of inbound tourists to Ukraine sharply declined after 2013 because of the socio-political situation in the country. The analysis reveals significant changes in inbound and outbound tourism flow structures. The COVID-19 pandemic is shown to be a critical factor influencing the current state and prospects of the tourism industry.
Satyr L. M., Zadorozhna R. P., Stadnik L.I
inbound tourism, outbound tourism, international tourism, Travel and Tourism Competitiveness ...
Transformation of the tourist and recreation sphere of the Russian-Belarusian border region within the pandemic consequences
The COVID-19 pandemic has become a serious challenge for the whole world. All sectors of the economy suffered damage to a certain degree, taking all possible measures to prevent the aggravation of the epidemiological situation. The tourism and recreation ...
Development of the automatic system based on the three-factor communication model for the extraction and classification of the comments in social media
The paper aims at examining the main communication strategies used by those involved into risk communication on the governmental regulations on the management of the adverse aftermaths of the crises (on the case of COVID-19 pandemics). In order to extract and classify the set of comments, a three-factor model was developed to classify the texts and comments through S. Hall’s 'encoding/decoding' model, N. Luhmann’s functional subsystems theory, and communicational ...