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  Published Paper Details:

  Paper Title

``Using Big Data Analytics to control Covid19 Pandemic``

  Authors

  P. V. Naga Lakshmi

  Keywords

big data; big data analytics; AI (AI); 2019 novel corona virus disease (COVID?19); healthcare system

  Abstract


The COVID?19 epidemic has caused an outsized number of human losses and havoc within the economic, societal, social, and health systems around the world. Controlling such epidemic requires understanding its behaviour and characteristics, which may be identified by collecting and analyzing the related big data. However, because of the vast amount of data available on COVID?19 from various sources, there is a requirement to review the roles of massive data analysis in controlling the spread of COVID?19, presenting the most challenges and directions of COVID?19 data analysis. Therefore, during this paper, we conduct a literature review to highlight the contributions of several studies within the domain of COVID?19?based big data analysis. The study presents as taxonomy of several applications accustomed manage and control the pandemic. Moreover, this study discusses several challenges encountered during analyzing COVID?19 data. The findings of this paper suggest valuable future directions to be considered for further research and applications.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105970

  Paper ID - 207944

  Page Number(s) - j62-j69

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  P. V. Naga Lakshmi,   "``Using Big Data Analytics to control Covid19 Pandemic``", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.j62-j69, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105970.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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