Acta Scientific Computer Sciences

Review Article Volume 3 Issue 10

A Real Time Analytics for COVID-19 Tracking Based on Big Data Extracted on a Free Online Provider

Abderrahmane Ez-zahout1*, Slimane El Ouafi2 and Omar Aitoulghazi2

1IPSS Team, Faculty of Science, Mohamed V University, Morocco
2School of Science and Engineering, Al Akhawayn University, Morocco

*Corresponding Author: Abderrahmane Ez-zahout, IPSS Team, Faculty of Science, Mohamed V University, Morocco.

Received: June 25, 2021; Published: September 07, 2021

Abstract

  The COVID-19 pandemic has caused a large number of human losses and impacted different sectors; economic, social, societal, and health systems around the world. Controlling such pandemic requires understanding its characteristics, causes and consequences, which can be done using data. Big data analytics tools play a vital role in building knowledge required in making decisions and precautionary measures. However, to do that, many challenges are faced whether it is about privacy and security, data sharing, information correctness, or patient cooperation. To better understand how this pandemic is affecting our world and the countries that got the most affected, we did some analyzed data that we extracted from a free provider and visualized.

Keywords: COVID-19; Big Data Analytics; Making Decision; Patterns; Knowledge

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Citation

Citation: Abderrahmane Ez-zahout., et al. “A Real Time Analytics for COVID-19 Tracking Based on Big Data Extracted on a Free Online Provider". Acta Scientific Computer Sciences 3.10 (2021): 27-32.

Copyright

Copyright: © 2021 Abderrahmane Ez-zahout., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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