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

Serhii Kozlovskyi


Department of Entrepreneurship, Corporate and Spatial Economics, Vasyl’ Stus Donetsk National University, Vinnytsia (Ukraine)
https://orcid.org/0000-0003-0707-4996

Daria Bilenko


Department of Finance named after L.l. Tarangul, University of State Fiscal Service of Ukraine, Irpin (Ukraine)
https://orcid.org/0000-0002-6220-8101

Oleksandr Dluhopolskyi


Department of Economics and Economic Theory, West Ukrainian National University, Ternopil (Ukraine)
https://orcid.org/0000-0002-2040-8762

Serhii Vitvitskyi


Department of Legal Disciplines, Donetsk Law Institute of the Ministry of Internal Affairs of Ukraine, Kryvyi Rih (Ukraine)
https://orcid.org/0000-0002-4884-1883

Olha Bondarenko


Department of Civil, Labor Law and Social Security Law, Donetsk Law Institute of the Ministry of Internal Affairs, Mariupol (Ukraine)
https://orcid.org/0000-0002-3361-2121

Oleksandr Korniichuk


Institute of Feed and Agriculture of Podillya National Academy of Agrarian Sciences of Ukraine, Vinnytsia (Ukraine)

Abstract

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.


Keywords:

COVID-19, coronavirus pandemic, death rate, economic development, GDP, regression

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, https://doi.org/10.1002/jmv.258506.
  Google Scholar

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.
  Google Scholar

BARRO R.J., 2020, Macroeconomics, 5th ed, The MIT Press, 867 p.
  Google Scholar

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.
  Google Scholar

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, https://doi.org/10.3390/ijerph17093176.
  Google Scholar

BRAUER F., CASTILLO-CHAVEZ C., FENG Z., 2019, Mathematical Models in Epidemiology, Springer, 620 p.
  Google Scholar

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.
  Google Scholar

COHEN J., NORMILE D., 2020, New SARS-like virus in China triggers alarm, in: Science, 367(6475), p. 234-235.
  Google Scholar

CORONAVIRUS, 2020, Impact on the tourism industry worldwide, 117 p. 10. COVID-19 AND TOURISM, 2020, Assessing the economic consequences, 27 p.
  Google Scholar

COVID-19 (SARS-COV-2) VS INFLUENZA DATA, RESOURCES & RESPONSE, 2020, https://smartnet.works/covid-19-sars-cov-2-vs-influenza (30.10.2020).
  Google Scholar

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.
  Google Scholar

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).
  Google Scholar

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).
  Google Scholar

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, https://doi.org/10.1038/ s41586-020-2405-7.
  Google Scholar

FLORIZONE R., 2020, Three Ways the Coronavirus Is Shaping Sustainable Development, https://www.Iisd.org/articles/three-ways-coronavirus-shaping-sustainable-development, (30.10.2020).
  Google Scholar

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).
  Google Scholar

GLOBAL AVIATION MARKET 2020-2026: Report, https://www.researchandmarkets.com/reports/5129655 (30.X.2020).
  Google Scholar

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.
  Google Scholar

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.
  Google Scholar

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, https://doi.org/10.1080/01944363.2020.1777891.
  Google Scholar

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, https://doi.org/10.1038/s41586-020-2404-8.
  Google Scholar

IATA, 2020, https://www.iata.org (30.X.2020).
  Google Scholar

INTER-AGENCY STANDING COMMITTEE, 2007, IASC Guidelines on Mental Health and Psychosocial Support in Emergency Settings, IASC: Geneva, 205 p.
  Google Scholar

JOHNS HOPKINS CRC, 2020, https://coronavirus.jhu.edu/region. (30.X.2020).
  Google Scholar

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.
  Google Scholar

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.
  Google Scholar

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).
  Google Scholar

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.
  Google Scholar

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.
  Google Scholar

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.
  Google Scholar

MOKSONY F., 1990, Small is beautiful. The use and interpretation of R2 in social research, in: Szociológiai Szemle, SI, 130-138.
  Google Scholar

MONTGOMERY D., PECK E., VINING G., 2012, Introduction to Linear Regression Analysis, 5th Edition, New-Jersey, Wiley, 688 p.
  Google Scholar

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).
  Google Scholar

PORTA M., 2014, A Dictionary of Epidemiology, 5th ed., Oxford University Press: Oxford.
  Google Scholar

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.
  Google Scholar

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.
  Google Scholar

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.
  Google Scholar

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).
  Google Scholar

THE JOHNS HOPKINS CORONAVIRUS RESOURCE CENTER, 2020, https://coronavirus.jhu.edu/map.html (30.X.2020).
  Google Scholar

THE MINITAB BLOG, 2013, Regression Analysis: How Do I Interpret R-squared and Assess the Goodness-of-Fit?, https://blog.minitab.com/blog/adventures-in-statistics-2 (30.X.2020).
  Google Scholar

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).
  Google Scholar

THE SUSTAINABLE DEVELOPMENT GOALS: OUR FRAMEWORK FOR COVID-19 RECOVERY, 2020, https://www.un.org/sustainabledevelopment (30.X.2020).
  Google Scholar

TOURISM POLICY RESPONSES TO THE CORONAVIRUS, 2020, OECD Policy Responses to Coronavirus (COVID-19), https://www.oecd.org/coronavirus/policy-responses (30.X.2020).
  Google Scholar

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.
  Google Scholar

TRIGGLE N., 2020, Coronavirus: How to understand the death toll, BBC News, https://www.bbc.com/news/health-51979654 (30.X.2020).
  Google Scholar

UNESCO, 2020, Solutions for distance learning, https://www.futureschool.online/post (30.X.2020).
  Google Scholar

WHO (WORLD HEALTH ORGANISATION), 2020, Assessment of risk factors for coronavirus disease 2019 (COVID-19) in health workers: protocol for a control study.
  Google Scholar

WHO STATEMENT, 2020, Tobacco use and COVID-19, https://www.who.int/news-room (20.X. 2020).
  Google Scholar

WORLD BANK, 2020 World Bank Indicators, https://data.worldbank.org/indicator (20.X.2020).
  Google Scholar

WORLD BANK, 2020, WORLD BANK FIGHTING COVID-19: EUROPE AND CENTRAL ASIA ECONOMIC UPDATE, 2020. Washington, DC, 80 p., https://doi.org/10.1596/978-1-4648-1564-5.
  Google Scholar

WORLDOMETER, 2020, https://www.worldometers.info/coronavirus (20.X.2020).
  Google Scholar

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.
  Google Scholar

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.
  Google Scholar

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Published
2021-01-04

Cited by

Kozlovskyi, S., Bilenko, D., Dluhopolskyi, O., Vitvitskyi, S., Bondarenko, O., & Korniichuk, O. (2021). Determinants of COVID-19 Death Rate in Europe: Empirical Analysis. Problemy Ekorozwoju, 16(1), 17–28. https://doi.org/10.35784/pe.2021.1.02

Authors

Serhii Kozlovskyi 

Department of Entrepreneurship, Corporate and Spatial Economics, Vasyl’ Stus Donetsk National University, Vinnytsia Ukraine
https://orcid.org/0000-0003-0707-4996

Authors

Daria Bilenko 

Department of Finance named after L.l. Tarangul, University of State Fiscal Service of Ukraine, Irpin Ukraine
https://orcid.org/0000-0002-6220-8101

Authors

Oleksandr Dluhopolskyi 

Department of Economics and Economic Theory, West Ukrainian National University, Ternopil Ukraine
https://orcid.org/0000-0002-2040-8762

Authors

Serhii Vitvitskyi 

Department of Legal Disciplines, Donetsk Law Institute of the Ministry of Internal Affairs of Ukraine, Kryvyi Rih Ukraine
https://orcid.org/0000-0002-4884-1883

Authors

Olha Bondarenko 

Department of Civil, Labor Law and Social Security Law, Donetsk Law Institute of the Ministry of Internal Affairs, Mariupol Ukraine
https://orcid.org/0000-0002-3361-2121

Authors

Oleksandr Korniichuk 

Institute of Feed and Agriculture of Podillya National Academy of Agrarian Sciences of Ukraine, Vinnytsia Ukraine

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