Health Risks and Country Sustainability: The Impact of the COVID-19 Pandemic with Determining Cause-and-Effect Relationships and Their Transformations
Artykuł w czasopiśmie
MNiSW
100
Lista 2023
| Status: | |
| Autorzy: | Letunovska Nataliia, Kashcha Mariya, Dluhopolskyi Oleksandr, Lyeonov Serhiy, Artyukhova Nadiia, Gąsior Marcin, Sak-Skowron Monika |
| Dyscypliny: | |
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| Rok wydania: | 2023 |
| Wersja dokumentu: | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 1 |
| Wolumen/Tom: | 15 |
| Numer artykułu: | 222 |
| Strony: | 1 - 16 |
| Web of Science® Times Cited: | 0 |
| Scopus® Cytowania: | 2 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Finansowanie: | This research was funded by the Ministry of Education and Science of Ukraine, grant numbers 0122U000781, 0122U000778, 0121U109553, 0120U102001; by European Education and Culture Executive Agency (Jean Monnet Module, project number 101047530 “Healthy economy andpolicy: European values for Ukraine”). |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 23 grudnia 2022 |
| Abstrakty: | angielski |
| The authors investigated the coronavirus pandemic as a health and safety risk factor for sustainable state development. The main purpose is to determine the cause-and-effect relationships between the key spheres of society life: economic, financial–budgetary, political-–institutional. The authors hypothesize that these spheres influence each other and that this influence becomes more obvious and important to consider during significant shifts such as health threats and transformations in the public health system. As part of the calculations, the methodology of canonical regression analysis was used, which made it possible to evaluate the influence of a set of indicators using the construction of a correlation matrix. Aggregation of the complex of development indicators for each direction was carried out, and their mutual influence and degree of importance within each group of indicators was determined. The identified interdependencies are valuable for predicting the state of various industries in the future. It was concluded that there were no significant changes between the indicators of the analyzed components of a country’s development in the pre-and post-pandemic period. This makes it possible to state with a high probability that forecasting in the long-term perspective of a country’s development is possible based on the degree of interrelationships between the indicators of individual areas of development. Forecasting can also be based on the trends occurring in a specific related field to correct the upward or downward movement of a particular indicator, and to change the functioning of the complex system under the influence of threats to public health. |
