Data Analysis of Coronavirus CoVID-19: Study of Spread and Vaccination in European Countries
International Journal of Advanced Computer Science and Applications
; 13(1):732-737, 2022.
Article
in English
| Scopus | ID: covidwho-1687570
ABSTRACT
Humanity has gone since a long time through several pandemics, such as H1N1 in 2009 and also Spanish flu in 1917. In December 2019, the health authorities of China detected unexplained cases of pneumonia. The WHO World Health Organization has declared the apparition of CoVID-19 (novel Coronavirus) that caused a global pandemic in 2020. In data analysis, multiple approaches and diverse techniques were used to extract useful information from multiple heterogeneous sources and to discover knowledge and new information for decision-making;it is used in different business and science domains. In this context, we propose to use the multidimensional analysis techniques based on two concepts fact (subject of analysis) and dimensions (axes of analyses). This technique allows decision makers to observe data from various heterogeneous sources and analyze them according several viewpoints or perspectives. More precisely, we propose a multidimensional model for analyzing the Coronavirus CoVID-19 data (spread and vaccination in European countries). This model is based on constellation schema that contains several facts surrounded by common dimensions © 2022, International Journal of Advanced Computer Science and Applications. All Rights Reserved.
Constellation schema; Coronavirus covid-19; European countries; Multidimensional model; Vaccination; Data handling; Decision making; Information analysis; Vaccines; Coronaviruses; Decisions makings; Diverse techniques; Heterogeneous sources; Multi-dimensional model; Multidimensional analysis technique; World Health Organization; Coronavirus
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Topics:
Vaccines
Language:
English
Journal:
International Journal of Advanced Computer Science and Applications
Year:
2022
Document Type:
Article
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