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.

Highlights

  • Since December 2019, the new cases of pneumonia were detected in Wuhan City (Hubei Province of China)

  • We propose to use the Multidimensional Analysis techniques in order to analyze the spread of Coronavirus Covid-19 and the evolution of vaccination in European Countries

  • This paper presents a new approach based on the use of multidimensional techniques on Coronavirus Covid-19 data and the user-defined constraints based on colors in order to highlight relevant information

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Summary

INTRODUCTION

Since December 2019, the new cases of pneumonia were detected in Wuhan City (Hubei Province of China) This novel virus caused the new infectious respiratory disease, called Covid-19 by the World Health Organization (WHO) [19] (Pandemic in 2020 with millions of deaths around the world). The fight against this global pandemic is causing cancellations of sporting and cultural events, the implementation of containment measures and the closure of the borders by many countries, etc. We propose to use the Multidimensional Analysis techniques in order to analyze the spread of Coronavirus Covid-19 and the evolution of vaccination in European Countries. We present the phase of implementation for European countries and Conclusion

LITERATURE REVIEW
DATA PREPARATION
First Step
Second Step
Third Step
Four Step
DATA WAREHOUSING
DATA ANALYSIS
IMPLEMENTATION AND DISCUSSIONS
CONCLUSION
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