The possibilities of quantitative analysis of the relationship between the severity of the COVID-19 pandemic and the institutional characteristics of the countries of the world
https://doi.org/10.29413/ABS.2021-6.6-2.14
Abstract
The interrelation of the severity of the epidemiological situation in a particular country and its institutional characteristics (including the level of health care, quality of management, the level of public trust, cultural characteristics, etc.) is considered. As a result, using the developed index of the severity of the epidemiological situation, the institutional characteristics that most affect the effectiveness of the measures applied were determined. It was figured out that of the 16 characteristics considered, only two (the level of employment and trust in the government) have a medium statistical correlation with the severity of the pandemic. Three more characteristics (prevalence of secular-rational values, degree of urbanization, GDP PPP per capita) have a correlation close to the medium. The remaining characteristics (including health care costs, government efficiency, etc.) have either a weak correlation wiыth severity, or actually do not have it. The results obtained indicate insufficient use and reassessment of existing institutional capacities at the initial stage of the pandemic, as well as insufficient reliability of morbidity and mortality statistics in a number of countries. In conclusion, based on the analysis of statistical indicators, recommendations are given to improve the effectiveness of the use of institutional capacity to counter epidemiological threats, improve this potential, increase the effectiveness of protective and restrictive measures that reduce the severity of the epidemiological situation.
About the Authors
A. L. DemchukRussian Federation
Dr. Sc. (Polit.), Head of the Department of Comparative Politics
Leninskie Gory 1, Moscow 119991, Russian Federation
V. M. Kapistyn
Russian Federation
Dr. Sc. (Polit.), Professor at the Department of Comparative Politics
Leninskie Gory 1, Moscow 119991, Russian Federation
A. Yu. Karateev
Russian Federation
Cand. Sc. (Hist.), Associate Professor at the Department of History and Theory of Politics
Leninskie Gory 1, Moscow 119991, Russian Federation
N. N. Emelyanova
Russian Federation
Cand. Sc. (Polit.), Senior Research Officer at the Department of Comparative Politics
Leninskie Gory 1, Moscow 119991, Russian Federation
I. V. Dashkina
Russian Federation
Cand. Sc. (Polit.), Head of the Department of Postgraduate and Doctoral Studies
Leninskie Gory 1, Moscow 119991, Russian Federation
M. M. Pashin
Russian Federation
Postgraduate at the Department of Comparative Politics
Leninskie Gory 1, Moscow 119991, Russian Federation
S. I. Kolesnikov
Russian Federation
Dr. Sc. (Med.), Professor, Academician of the Russian Academy of Sciences, Professor at the Department of Public Policy; Professor at the Department of Political Studies and Law
Leninskie Gory 1, Moscow 119991, Russian Federation
Timiryazeva str. 1, Irkutsk 664003, Russian Federation
Very Voloshinoy str. 24, Mytishchi 141014, Russian Federation
References
1. Coronavirus disease. Statistics. URL: https://www.google.com/search?q=covid-19 [date of access: 01.11.2021].
2. Global Health Expenditure Database. URL: https://apps.who.int/nha/database/country_profile/Index/en [date of access: 20.08.2021].
3. United Nations Department of Economic and Social Affairs. Life expectancy at birth. URL: https://population.un.org/wpp/Download/Files/1_Indicators%20(Standard)/EXCEL_FILES/3_Mortality/WPP2019_MORT_F07_1_LIFE_EXPECTANCY_0_BOTH_SEXES.xlsx [date of access: 19.08.2021].
4. Sustainable society index. URL: https://ssi.wi.th-koeln.de/documents/SSI-2019-scores.pdf [date of access: 08.09.2021].
5. Population density. URL: https://data.worldbank.org/indicator/EN.POP.DNST?view=chart [date of access: 10.09.2021].
6. Urban population (% of total population). URL: https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS?view=chart [date of access: 09.09.2021].
7. GDP per capita, PPP (current international $). URL: https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD?view=chart [date of access: 10.09.2021].
8. 2019 Edelman Trust Barometer. Global report. URL: https://www.edelman.com/sites/g/files/aatuss191/files/2019-02/2019_Edelman_Trust_Barometer_Global_Report.pdf [date of access: 02.11.2021].
9. World Values Survey. URL: https://www.worldvaluessurvey.org/ [date of access: 20.08.2021].
10. The Fund for Peace. Fragile States Index Annual Report 2021. Washington: The Fund for Peace; 2021.
11. World governance indicators. URL: http://info.worldbank.org/governance/wgi/ [date of access: 24.08.2021].
12. The International Telecommunication Union (ITU). Country ICT data. URL: https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx [date of access: 27.12.2020].
13. Edelman Trust Barometer 2021. Global repor t. URL: https://www.edelman.com/sites/g/files/aatuss191/files/2021-03/2021 %20Edelman %20Trust %20Barometer.pdf [date of access: 02.11.2021].
14. Moore KA, Lipsitch M, Barry JM, Osterholm MT. COVID-19: The CIDRAP viewpoint. April 30th, 2020. Part 1: The Future of the COVID-19 pandemic: Lessons learned from pandemic influenza. URL: https://www.cidrap.umn.edu/sites/default/files/public/downloads/cidrap-covid19-viewpoint-part1_0.pdf [access date: 12.10.2021].
15. A quarter of Russians called the COVID-19 epidemic as an invention of stakeholders. URL: https://www.rbc.ru/society/28/05/2020/5ece85a79a7947d7e297532e [date of access: 24.10.2021]. (In Russ.).
16. Canada Emergency Wage Subsidy (CEWS). URL: https://www.canada.ca/en/revenue-agency/services/subsidy/emergencywage-subsidy.html [date of access: 25.10.2021].
17. Yudina MA. The role of information and communication technologies in protecting health and transforming the quality of employment during the COVID-2019 pandemic. Living Standards of the Population in the Regions of Russia. 2020; 16(3): 98-107. (In Russ.). doi: 10.19181/lsprr.2020.16.3.8
18. Greer SL, King EJ, Fonseca EM, Peralta-Santos A. (eds.). Coronavirus politics: The Comparative politics and policy of COVID-19. University of Michigan Press; 2021. doi: 10.3998/mpub.11927713
19. Global Health Security Index 2019. URL: https://www.ghsindex.org/wp-content/uploads/2020/04/2019-Global-HealthSecurity-Index.pdf [date of access: 02.11.2021].
20. Fahy N. How are countries using digital health tools in responding to COVID-19? WHO Coronavirus Health Systems Response Monitor. 2020. URL: https://analysis.covid19healthsystem.org/index.php/2020/04/28/how-are-countries-using-digital-healthtools-in-responding-to-covid-19/ [date of access: 14.11.2021].
Review
For citations:
Demchuk A.L., Kapistyn V.M., Karateev A.Yu., Emelyanova N.N., Dashkina I.V., Pashin M.M., Kolesnikov S.I. The possibilities of quantitative analysis of the relationship between the severity of the COVID-19 pandemic and the institutional characteristics of the countries of the world. Acta Biomedica Scientifica. 2021;6(6-2):133-144. (In Russ.) https://doi.org/10.29413/ABS.2021-6.6-2.14