The Application of Association Rules to Detect the Effects of Vaccinations against COVID-19 in the EU-27. Preliminary estimates
In this research study, the authors obtained the preliminary evaluation of the impact detection of vaccinations against COVID-19 in the EU-27. The empirical basis of the study was the daily number of COVID-19 cases, vaccinations, hospitalisations, and deaths in the EU countries from March 2020 to Ma...
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| Format: | Article |
| Language: | English |
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Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
2023-02-01
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| Series: | Ekonometria |
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| Online Access: | https://journals.ue.wroc.pl/eada/article/view/1067 |
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| _version_ | 1850185640562393088 |
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| author | Kateryna Berezka Olha Kovalchuk |
| author_facet | Kateryna Berezka Olha Kovalchuk |
| author_sort | Kateryna Berezka |
| collection | DOAJ |
| description | In this research study, the authors obtained the preliminary evaluation of the impact detection of vaccinations against COVID-19 in the EU-27. The empirical basis of the study was the daily number of COVID-19 cases, vaccinations, hospitalisations, and deaths in the EU countries from March 2020 to March 2022. Rules of association were used to identify non-obvious associations between vaccinations against COVID-19 and cases of illness, hospitalisations, and deaths from COVID-19. The obtained results were used to cluster the EU countries by the level of vaccinations against COVID-19, cases of COVID-19, deaths from COVID, and COVID-19 hospitalisations for the EU member states. The K-means clustering method was used for cluster analysis. Hidden dependencies of the number of COVID-19 cases, the number of COVID-19 hospitalisations, and the number of COVID-19 deaths due to the number of vaccinations against COVID-19 by EU countries were revealed. It was established with a high probability that vaccination significantly affects the level of morbidity. For the first time, association rules were obtained, which are preliminary estimates of the relationship between the dynamics of vaccinations against COVID-19 and the dynamics of COVID-19 cases, COVID-19 hospitalisations, and deaths from COVID-19 in the EU. The results can be used to make beneficial decisions, for example, to regulate vaccination policies in individual EU countries, and predict the future consequences of the COVID-19 pandemic. |
| format | Article |
| id | doaj-art-a2b91e2f5210476eb6fd09d63ce2ee6d |
| institution | OA Journals |
| issn | 2449-9994 |
| language | English |
| publishDate | 2023-02-01 |
| publisher | Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu |
| record_format | Article |
| series | Ekonometria |
| spelling | doaj-art-a2b91e2f5210476eb6fd09d63ce2ee6d2025-08-20T02:16:39ZengWydawnictwo Uniwersytetu Ekonomicznego we WrocławiuEkonometria2449-99942023-02-012711068The Application of Association Rules to Detect the Effects of Vaccinations against COVID-19 in the EU-27. Preliminary estimatesKateryna Berezka0Olha Kovalchuk1West Ukrainian National UniversityWest Ukrainian National UniversityIn this research study, the authors obtained the preliminary evaluation of the impact detection of vaccinations against COVID-19 in the EU-27. The empirical basis of the study was the daily number of COVID-19 cases, vaccinations, hospitalisations, and deaths in the EU countries from March 2020 to March 2022. Rules of association were used to identify non-obvious associations between vaccinations against COVID-19 and cases of illness, hospitalisations, and deaths from COVID-19. The obtained results were used to cluster the EU countries by the level of vaccinations against COVID-19, cases of COVID-19, deaths from COVID, and COVID-19 hospitalisations for the EU member states. The K-means clustering method was used for cluster analysis. Hidden dependencies of the number of COVID-19 cases, the number of COVID-19 hospitalisations, and the number of COVID-19 deaths due to the number of vaccinations against COVID-19 by EU countries were revealed. It was established with a high probability that vaccination significantly affects the level of morbidity. For the first time, association rules were obtained, which are preliminary estimates of the relationship between the dynamics of vaccinations against COVID-19 and the dynamics of COVID-19 cases, COVID-19 hospitalisations, and deaths from COVID-19 in the EU. The results can be used to make beneficial decisions, for example, to regulate vaccination policies in individual EU countries, and predict the future consequences of the COVID-19 pandemic.https://journals.ue.wroc.pl/eada/article/view/1067covid-19association rulesk-means clusteringvaccinationseu countrydecision-making |
| spellingShingle | Kateryna Berezka Olha Kovalchuk The Application of Association Rules to Detect the Effects of Vaccinations against COVID-19 in the EU-27. Preliminary estimates Ekonometria covid-19 association rules k-means clustering vaccinations eu country decision-making |
| title | The Application of Association Rules to Detect the Effects of Vaccinations against COVID-19 in the EU-27. Preliminary estimates |
| title_full | The Application of Association Rules to Detect the Effects of Vaccinations against COVID-19 in the EU-27. Preliminary estimates |
| title_fullStr | The Application of Association Rules to Detect the Effects of Vaccinations against COVID-19 in the EU-27. Preliminary estimates |
| title_full_unstemmed | The Application of Association Rules to Detect the Effects of Vaccinations against COVID-19 in the EU-27. Preliminary estimates |
| title_short | The Application of Association Rules to Detect the Effects of Vaccinations against COVID-19 in the EU-27. Preliminary estimates |
| title_sort | application of association rules to detect the effects of vaccinations against covid 19 in the eu 27 preliminary estimates |
| topic | covid-19 association rules k-means clustering vaccinations eu country decision-making |
| url | https://journals.ue.wroc.pl/eada/article/view/1067 |
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