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Czynniki wpływające na śmiertelność z powodu COVID-19 w Europie: analiza empiryczna
Języki publikacji
Abstrakty
At the end of 2019, the new virus called Coronavirus disease (COVID-19) spread widely from China all over the world (including Europe). Most countries in Europe at the beginning of 2020 have been quarantined. The aim of the work is to develop the system dynamics model for assessing the impact of the different factors on the COVID-19 death rate in Europe. There were tested three hypotheses about factors of reducing the COVID-19 death rate with the help of linear regression analysis. The density of the population of European countries doesn’t affect the COVID-19 death rate. Also, COVID-19 death rate does not drastically affect mortality statistics. But the level of country’s economic development is a factor of COVID-19 death rate because in high developed countries the pandemic death rate is lower, regardless of the mechanisms of the spread of the disease and its impact on human health.
Z końcem 2019 r. nowy wirus COVID-19 rozprzestrzenił się z Chin po całym świecie (w tym po Europie). Większość krajów europejskich wiosną 2020 r. wprowadziła powszechną kwarantannę. Celem tej pracy jest opra-cowanie modelu dynamiki systemu pozwalającego określić wpływ różnych czynników na śmiertelność z powodu koronawirusa w Europie. Za pomocą analizy regresji liniowej sprawdzono trzy hipotezy dotyczące czynników zmniejszających śmiertelność COVID-19. Jak się okazuje, gęstość zaludnienia w różnych krajach europejskich nie wpływa na śmiertelność z powodu COVID-19. Ponadto śmiertelność z powodu koronawirusa nie zwiększa w znaczący sposób ogólnych statystyk śmiertelności. Natomiast poziom rozwoju gospodarczego kraju jest już czynnikiem wpływającym na śmiertelności z powodu COVID-19, ponieważ w krajach wysoko rozwiniętych śmiertelność w wyniku pandemii jest niższa, niezależnie od mechanizmów rozprzestrzeniania się choroby i jej wpływu na zdrowie ludzi.
Wydawca
Czasopismo
Rocznik
Tom
Strony
17--28
Opis fizyczny
Bibliogr. 54 poz., fig., tab.
Twórcy
autor
- Department of Entrepreneurship, Corporate and Spatial Economics, Vasyl’ Stus Donetsk National University, Vinnytsia, Ukraine
autor
- Department of Finance named after L.l. Tarangul, University of State Fiscal Service of Ukraine, Irpin, Ukraine
autor
- Department of Economics and Economic Theory, West Ukrainian National University, Ternopil, Ukraine
autor
- Department of Legal Disciplines, Donetsk Law Institute of the Ministry of Internal Affairs of Ukraine, Kryvyi Rih, Ukraine
autor
- Department of Civil, Labor Law and Social Security Law, Donetsk Law Institute of the Ministry of Internal Affairs, Mariupol, Ukraine
autor
- Institute of Feed and Agriculture of Podillya National Academy of Agrarian Sciences of Ukraine, Vinnytsia, Ukraine
Bibliografia
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- 22. HSIANG S., ALLEN D., ANNAN-PHAN S., BELL K., BOLLIGER I., CHONG T., DRUCKENMILLER H., HUANG L.Y., HULTGREN A., KRASOVICH E., LAU P., LEE J., ROLF E., TSENG J., W, T., 2020, The effect of large-scale anti-contagion policies on the COVID-19 pandemic, in Nature, DOI: 10.1038/ s41586-020-2404-8.
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- 27. KOZLOVSKYI S., BILENKO D., KUZHELIEV M., LAVROV R., KOZLOVSKYI V., MAZUR H., TARANYCH A., 2020, The system dynamic model of the labor migrant policy in economic growth affected by COVID-19, in: Global Journal of Environmental Science and Management, 6(SI), p. 95-106.
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b1a5010b-ac83-4d92-b435-901f41681d1f