UGC Approved Journal no 63975(19)

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

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2107379


Registration ID:
312467

Page Number

c849-c852

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Title

Role of Big Data in Monitoring and Tracking COVID 19

Abstract

We are now in a world reshaped by the Covid-19 pandemic. This pandemic had hit every aspect of our day-to-day life. Early and rapid case identification is crucial during a pandemic for the isolation of cases and appropriate contacts in order to reduce onward spread and understand key risks and modes of transmission. Accurate and up-to-date statistics from governments are not always accessible. The number of persons affected by Covid-19 is increasing rapidly and the death rate is also going high. We have seen first and second wave of the pandemic. The conditions are more severe in the second wave than in the first wave in many countries like India, South Korea, New Zealand, UK and so on. The virus had undergone various genetic mutations, which is more deadly and rapidly spreads from persons to persons. This sudden outbreak of the pandemic had created vital source of information and knowledge. And there is also an immediate need to store the large amount of data about the cases, using data storage technologies. Big data technology is used to store the massive amount of data of the patients and also minimize the risk of spreading the virus. These data help in fighting the pandemic, as it helps in research and study about the virus, vaccines and also to take precautions from getting affected. It also helps in understanding the nature of virus in detail. Totally, the big data technology provides information about disease transmission, details about virus, details of confirmed patients, recovered patients, quarantined persons, details of hospitals etc. There is an urgent need for the identification of effective therapeutics for Covid-19, in order to put a full stop to the Covid-19 disease. Big data is characterized by high volume, velocity and variety of data. Vaccine research using big data technology avoid cost, time-consuming and labor-intensive steps. Health scientists use every tool to crunch the number of patients and find the ways to create the drugs the world needs and big data helps in achieving it. Big data tools help in aggregating and synthesizing information to generate, validate and optimize novel drug candidates. Also, it helps in identifying patterns in virus data, make appropriate predictions, and potentially uncover the right drugs for testing. Computers are better to test and provide different chemical combinations and interactions between virus and drugs. Let’s have a look on each topic deeply.

Key Words

Big data, COVID-19, Datasets, Dashboards, Database, Machine learning, Vaccine

Cite This Article

"Role of Big Data in Monitoring and Tracking COVID 19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.c849-c852, July-2021, Available :http://www.jetir.org/papers/JETIR2107379.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

"Role of Big Data in Monitoring and Tracking COVID 19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppc849-c852, July-2021, Available at : http://www.jetir.org/papers/JETIR2107379.pdf

Publication Details

Published Paper ID: JETIR2107379
Registration ID: 312467
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: c849-c852
Country: Changanassery, Kerala, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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