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A Comparative Analysis of the Major COVID-19 Variant of Concern (VOC) in the World and India
by
Veena Jokhakar,
Tejas Shah
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 69 |
| Year of Publication: 2025 |
| Authors: Veena Jokhakar, Tejas Shah |
10.5120/ijca2025926167
|
Veena Jokhakar, Tejas Shah . A Comparative Analysis of the Major COVID-19 Variant of Concern (VOC) in the World and India. International Journal of Computer Applications. 187, 69 ( Dec 2025), 47-57. DOI=10.5120/ijca2025926167
@article{
10.5120/ijca2025926167,
author = {
Veena Jokhakar,
Tejas Shah
},
title = { A Comparative Analysis of the Major COVID-19 Variant of Concern (VOC) in the World and India },
journal = {
International Journal of Computer Applications
},
issue_date = { Dec 2025 },
volume = { 187 },
number = { 69 },
month = { Dec },
year = { 2025 },
issn = { 0975-8887 },
pages = {
47-57
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume187/number69/a-comparative-analysis-of-the-major-covid-19-variant-of-concern-voc-in-the-world-and-india/
},
doi = { 10.5120/ijca2025926167 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-12-24T19:35:38.341263+05:30
%A Veena Jokhakar
%A Tejas Shah
%T A Comparative Analysis of the Major COVID-19 Variant of Concern (VOC) in the World and India
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 69
%P 47-57
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The world is aware of how Corona, a virus belonging to the Nidovirus family, impacted it. In 2019, this had an impact on a large number of people across several nations. Later down the line it has been seen that various types of versions of the coronavirus kept evolving, which were different in terms of symptoms and intensity. The WHO-based assessment designated the multiple COVID-19 Variants of Concern (VOCs) and Variants of Interest (VOIs) for causing new waves with increased spread and the need for required public health actions. This paper shows the comparative analysis of major Variants of Concern (VOCs) and their num_sequences and pert_sequences with respect to location and time. The analysis done through Power BI shows the most and least affected countries with a specific variant of concern.
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