PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Determinants of COVID-19 Death Rate in Europe: Empirical Analysis

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Czynniki wpływające na śmiertelność z powodu COVID-19 w Europie: analiza empiryczna
Języki publikacji
EN
Abstrakty
EN
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.
PL
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.
Czasopismo
Rocznik
Strony
17--28
Opis fizyczny
Bibliogr. 54 poz., fig., tab.
Twórcy
  • Department of Entrepreneurship, Corporate and Spatial Economics, Vasyl’ Stus Donetsk National University, Vinnytsia, Ukraine
  • Department of Finance named after L.l. Tarangul, University of State Fiscal Service of Ukraine, Irpin, Ukraine
  • Department of Economics and Economic Theory, West Ukrainian National University, Ternopil, Ukraine
  • Department of Legal Disciplines, Donetsk Law Institute of the Ministry of Internal Affairs of Ukraine, Kryvyi Rih, Ukraine
  • Department of Civil, Labor Law and Social Security Law, Donetsk Law Institute of the Ministry of Internal Affairs, Mariupol, Ukraine
  • Institute of Feed and Agriculture of Podillya National Academy of Agrarian Sciences of Ukraine, Vinnytsia, Ukraine
Bibliografia
  • 1. AL-ROUSAN N., AL-NAJJAR H., 2020, Data analysis of coronavirus COVID-19 epidemic in South Korea based on recovered and death cases, in: Journal of Medical Virology, DOI: 10.1002/jmv.258506.
  • 2. ALSADOON E., TURKESTANI M., 2020, Virtual classrooms for hearing-impaired students during the coronavirus COVID-19 pandemic, in: Revista Romaneasca pentru Educatie Multidimensionala, 12(1Sup2), p.1-8.
  • 3. BARRO R.J., 2020, Macroeconomics, 5th ed, The MIT Press, 867 p.
  • 4. BEREZHNA S., PROKOPENKO I., 2020, Higher education institutions in Ukraine during the coronavirus, or COVID-19, outbreak: new challenges vs new opportunities, in: Revista Romaneasca pentru Educatie Multidimensionala, 12(1Sup2), p. 130-135.
  • 5. BRAGAZZI N.L., DAI H., DAMIANI G., BEHZADIFAR M., MARTINI M., WU J., 2020, How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic, in: International Journal of Environmental Research and Public Health, 17, p. 3176, DOI: 10.3390/ijerph17093176.
  • 6. BRAUER F., CASTILLO-CHAVEZ C., FENG Z., 2019, Mathematical Models in Epidemiology, Springer, 620 p.
  • 7. CARAKA R.E., LEE Y., KURNIAWAN R., HERLIANSYAH R., KABAN P.A., NASUTION B.I., GIO P.U., CHEN R.C., TOHARUDIN T., PARDAMEAN B., 2020, Impact of COVID-19 large scale restriction on environment and economy in Indonesia, in: Global Journal of Environmental Science and Management, 6(SI), p. 65-84.
  • 8. COHEN J., NORMILE D., 2020, New SARS-like virus in China triggers alarm, in: Science, 367(6475), p. 234-235.
  • 9. CORONAVIRUS, 2020, Impact on the tourism industry worldwide, 117 p.
  • 10. COVID-19 AND TOURISM, 2020, Assessing the economic consequences, 27 p.
  • 11. COVID-19 (SARS-COV-2) VS INFLUENZA DATA, RESOURCES & RESPONSE, 2020, https://smartnet.works/covid-19-sars-cov-2-vs-influenza (30.10.2020).
  • 12. DLUHOPOLSKYI O., 2020. Pandemic 2020 and its impact on global economic development: the aviation industry crisis, in: Problems and perspectives of modern science and practice: Abstracts of XIV International Scientific and Practical Conference (27-28 April, 2020), Stockholm, p. 326-329.
  • 13. DUA A., MAHAJAN D., OYER L., RAMASWAMY S., 2020, US small-business recovery after the COVID-19 crisis, https://www.mckinsey.com/industries/public-and-social-sector, (30.10. 2020).
  • 14. EDUCATION AND COVID-19, 2020, Focusing on the long-term impact of school closures, OECD Policy Responses to Coronavirus (COVID-19). https://www.oecd.org/coronavirus/policy-responses, (30.X.2020).
  • 15. FLAXMAN S., MISHRA S., GANDY A., UNWIN H.J., MELLAN T.A., COUPLAND H., WHITTAKER CH., ZHU H., BERAH T., EATON J.W., MONOD M., GHANI A.C., DONNELLY CH.A., RILEY S., VOLLMER M., FERGUSON N.M., OKELL L.C., BHATT S., 2020, Estimating the effects of nonpharmaceutical interventions on COVID-19 in Europe, in: Nature, DOI:10.1038/ s41586-020-2405-7.
  • 16. FLORIZONE R., 2020, Three Ways the Coronavirus Is Shaping Sustainable Development, https://www. Iisd.org/articles/three-ways-coronavirus-shaping-sus tainable-development, (30.10.2020).
  • 17. FOLINAS S., METAXAS T., 2020, Tourism: The Great Patient of Coronavirus COVID-2019, MPRA Paper, Vol. 99666, https://mpra.ub.uni-muenchen.de/ 99666 (30.X.2020).
  • 18. GLOBAL AVIATION MARKET 2020-2026: Report, https://www.researchandmarkets.com/reports/ 5129655 (30.X.2020).
  • 19. GUPTA N., TOMAR A., KUMAR V., 2020, The effect of COVID-19 lockdown on the air environment in India, in: Global Journal of Environmental Science and Management, 6(SI), p. 31-40.
  • 20. GURSOY D., CHI CH.G., 2020, Effects of COVID19 pandemic on hospitality industry: review of the current situations and a research agenda, In: Journal of Hospitality Marketing & Management, 29(5), p. 527-529.
  • 21. HAMIDI S., SABOURI S., EWING R., 2020, Does density aggravate the COVID-19 pandemic? Early findings and lessons for planners, in: Journal of the American Planning Association, DOI: 10.1080/ 01944363.2020.1777891.
  • 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.
  • 23. IATA, 2020, https://www.iata.org (30.X.2020).
  • 24. INTER-AGENCY STANDING COMMITTEE, 2007, IASC Guidelines on Mental Health and Psychosocial Support in Emergency Settings, IASC: Geneva, 205 p.
  • 25. JOHNS HOPKINS CRC, 2020, https://coronavirus. jhu.edu/region. (30.X.2020).
  • 26. KLAPKIV Y., DLUHOPOLSKA T., 2020, Changes in the tertiary education system in pandemic times: comparison of Ukrainian and Polish universities, in: Revista Romaneasca pentru Educatie Multidimensionala, 12(1Sup2), p. 86-91.
  • 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.
  • 28. KOZLOVSKYI A., BILENKO D., KOZLOVSKYI S., LAVROV R., SKYDAN O., IVANYUTA N., 2020, Determination of the risk-free rate of return on an investment efficiency based on the fractal markets hypothesis, in: Forum Scientiae Oeconomia, 8(3), p. 61-72, http://ojs.wsb.edu.pl/index.php/fso/article/ view/316/247 (30.X.2020).
  • 29. KOZIUK V., HAYDA Y., DLUHOPOLSKY O., KOZLOVSKYI S., 2020, Ecological performance: ethnic fragmentation versus governance quality and sustainable development, in: Problemy Ekorozwoju / Problems of Sustainable Development, 15(1), p. 53- 64.
  • 30. MASUM M.H., PAL S.K., 2020, Statistical evaluation of selected air quality parameters influenced by COVID-19 lockdown, in: Global Journal of Environmental Science and Management, 6(SI), p. 85-94.
  • 31. MINGHAT A.D., ANA A., PURNAWARMAN P., SARIPUDIN S., MUKTIARNI M., DWIYANTI V., MUSTAKIM, S.S., 2020, Students’ perceptions of the twists and turns of e-learning in the midst of the COVID-19 outbreak, in: Revista Romaneasca pentru Educatie Multidimensionala, 12(1Sup2), p. 15-26.
  • 32. MOKSONY F., 1990, Small is beautiful. The use and interpretation of R2 in social research, in: Szociológiai Szemle, SI, 130-138.
  • 33. MONTGOMERY D., PECK E., VINING G., 2012, Introduction to Linear Regression Analysis, 5th Edition, New-Jersey, Wiley, 688 p.
  • 34. PAFKA E., 2020, As coronavirus forces us to keep our distance, city density matters less than internal density, The Conversation, https://theconversation. com (30.X.2020).
  • 35. PORTA M., 2014, A Dictionary of Epidemiology, 5th ed., Oxford University Press: Oxford.
  • 36. SANTI A.E., GORGHIU G., PRIBEANU C., 2020, Teachers’ perceived self-efficacy concerning the use of mobile technology in education, considering the “Working from Home” format, in: Revista Romaneasca pentru Educatie Multidimensionala, 12(1Sup2), p. 157-166.
  • 37. SCHELLEKENS P., SOURROUILLE D., 2020, COVID-19 mortality in rich and poor countries: a tale of two Pandemics? in: Policy Research Working Paper, 9260, p. 1-33.
  • 38. STUKALO N., DLUHOPOLSKYI O., 2020, Educational programs accreditation in pandemic times: challenges for NAQA (Ukraine), in: Revista Romaneasca pentru Educatie Multidimensionala, 12(1Sup2), p. 167-172.
  • 39. THE IMPACTS OF COVID-19 ON THE SPACE INDUSTRY, 2020, OECD Policy Responses to Coronavirus (COVID-19), https://www.oecd.org/ coronavirus/policy-responses (30.X.2020).
  • 40. THE JOHNS HOPKINS CORONAVIRUS RESOURCE CENTER, 2020, https://coronavirus.jhu. edu/map.html (30.X.2020).
  • 41. THE MINITAB BLOG, 2013, Regression Analysis: How Do I Interpret R-squared and Assess the Goodness-of-Fit?, https://blog.minitab.com/blog/adventur es-in-statistics-2 (30.X.2020).
  • 42. THE POTENTIAL OF ONLINE LEARNING FOR ADULTS, 2020, Early lessons from the COVID-19 crisis. OECD Policy Responses to Coronavirus (COVID-19), https://www.oecd.org/coronavirus/policy-responses (30.X.2020).
  • 43. THE SUSTAINABLE DEVELOPMENT GOALS: OUR FRAMEWORK FOR COVID-19 RECOVERY, 2020, https://www.un.org/sustainabledevelopment (30.X.2020).
  • 44. TOURISM POLICY RESPONSES TO THE CORONAVIRUS, 2020, OECD Policy Responses to Coronavirus (COVID-19), https://www.oecd.org/coronavirus/policy-responses (30.X.2020).
  • 45. TRAN T.T., PHAM L.T., NGO Q.X., 2020, Forecasting epidemic spread of SARS-CoV-2 using ARIMA model (Case study: Iran), in: Global Journal of Environmental Science and Management, 6(SI), p. 1-10.
  • 46. TRIGGLE N., 2020, Coronavirus: How to understand the death toll, BBC News, https://www.bbc.com/ news/health-51979654 (30.X.2020).
  • 47. UNESCO, 2020, Solutions for distance learning, https://www.futureschool.online/post (30.X.2020).
  • 48. WHO (WORLD HEALTH ORGANISATION), 2020, Assessment of risk factors for coronavirus disease 2019 (COVID-19) in health workers: protocol for a control study.
  • 49. WHO STATEMENT, 2020, Tobacco use and COVID-19, https://www.who.int/news-room (20.X. 2020).
  • 50. WORLD BANK, 2020 World Bank Indicators, https://data.worldbank.org/indicator (20.X.2020).
  • 51. WORLD BANK, 2020, WORLD BANK FIGHTING COVID-19: EUROPE AND CENTRAL ASIA ECONOMIC UPDATE, 2020. Washington, DC, 80 p., DOI: 10.1596/978-1-4648-1564-5.
  • 52. WORLDOMETER, 2020, https://www.worldometers.info/coronavirus (20.X.2020).
  • 53. XIE X., NAMINSE E.Y., LIU S., YI Q., 2020, The spatial and temporal pattern of COVID-19 and its effect on humans’ development in China, in: Global Journal of Environmental Science and Management, 6(SI), p. 107-118.
  • 54. YADAV D., MAHESHWARI H., CHANDRA U., 2020, Outbreak prediction of COVID-19 in most susceptible countries, in: Global Journal of Environmental Science and Management, 6(SI), p. 11-20.
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
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.