UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFM06010


Registration ID:
403758

Page Number

53-62

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Title

BLOCKCHAIN BASED DATA ANALYSIS OF COVID-19 VARIANTS AND VACCINES

Abstract

The spread of the ‘COVID-19’ (coronavirus) pandemic has caused a host of problems around the world, and it continues to pose a global threat. The world is currently experiencing a coronavirus epidemic that has spread to practically every country on the planet. In such situations, it is critical to disseminate information faster than the diseases themselves spread. This research focuses on data analysis of several Covid19 variations and the efficacy of various vaccinations. In the realm of epidemic intelligence, the advent of the information age has shown to be effective. The use of block chain technology (BT) in data analysis is critical for effectively managing the COVID-19 epidemic. To tackle the epidemic, we suggest a block chain-based data analysis. Decentralization, transparency, and immutability are just a few of the qualities of block chain technology that can help contain the pandemic by recognizing breakouts and symptoms early on. Following immunization against the initial strain of COVID-19, the body's ability to harness numerous components of the immune system continues to provide effective resistance against multiple variations.

Key Words

Block chain, COVID-19, Variants, Vaccines.

Cite This Article

"BLOCKCHAIN BASED DATA ANALYSIS OF COVID-19 VARIANTS AND VACCINES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.53-62, June-2022, Available :http://www.jetir.org/papers/JETIRFM06010.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"BLOCKCHAIN BASED DATA ANALYSIS OF COVID-19 VARIANTS AND VACCINES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp53-62, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06010.pdf

Publication Details

Published Paper ID: JETIRFM06010
Registration ID: 403758
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 53-62
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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