COVID 19 MORTALITY AS A REFLECTION OF THE QUALITY OF HEALTH IN EU COUNTRIES
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04130081%3A_____%2F23%3AN0000036" target="_blank" >RIV/04130081:_____/23:N0000036 - isvavai.cz</a>
Result on the web
<a href="https://www.economics-sociology.eu/?980,en_covid-19-mortality-as-a-reflection-of-the-quality-of-health-in-eu-countries" target="_blank" >https://www.economics-sociology.eu/?980,en_covid-19-mortality-as-a-reflection-of-the-quality-of-health-in-eu-countries</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14254/2071-789X.2023/16-3/8" target="_blank" >10.14254/2071-789X.2023/16-3/8</a>
Alternative languages
Result language
angličtina
Original language name
COVID 19 MORTALITY AS A REFLECTION OF THE QUALITY OF HEALTH IN EU COUNTRIES
Original language description
The article aims to model the COVID-19 mortality in EU member states. It depends on chosen factors, determine the ranking of factors' importance and attempts for their reduction. Further objectives include identifying states with similar values of identified factors and their geographical concentration. This is exploratory research and is a quantitative research study according to the type of data used. Using the supervised machine learning random forest algorithm, we predict the number of COVID-19 deaths depending on analyzed factors. From 23 factors, we choose the seven most important factors. This selection is based on the highest value, Inc Node Purity. The cluster analysis is used to create groups of states with similar values of chosen factors. Because of the nonuniform methodology of reported deaths, we use excess mortality to measure COVID-19 mortality. The most important factor influencing COVID-19 mortality is the death rate due to circulatory system diseases. The second most significant factor is the avoidable mortality. The third most relevant factor is GDP per capita in purchasing power parity. Similar values of analyzed factors can be found in Bulgaria, Romania, the Czech Republic, Poland, Slovakia, Lithuania, Hungary, Croatia, and Latvia. COVID-19 mortality in these countries is almost three times higher than in the rest of the EU. Decision-makers could use the gained findings to decrease inequalities in the field of healthcare, mostly through efficient interventions in public healthcare and primary prevention. The results demonstrate that more investment in promoting health in the future will be necessary in the cohesion policy framework.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ECONOMICS & SOCIOLOGY
ISSN
2071-789X
e-ISSN
2306-3459
Volume of the periodical
16
Issue of the periodical within the volume
3
Country of publishing house
PL - POLAND
Number of pages
25
Pages from-to
138-162
UT code for WoS article
001138069600004
EID of the result in the Scopus database
2-s2.0-85173826317