Exploratory Data Analysis on SARS-CoV-2 Variants in India: especially Omicron (B.1.1.529) as of 6th December 2021

被引:0
作者
Prusty, Sashikanta [1 ]
Patnaik, Srikanta [1 ]
Dash, Sujit Kumar [2 ]
机构
[1] SOA Univ, Dept Comp Sci & Engn, Bhubaneswar 751030, India
[2] SOA Univ, Dept Elect & Elect Engn, Bhubaneswar 751030, India
来源
2022 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATIONS (DASA) | 2022年
关键词
SAR-Cov-2; Variants; Omicron; EDA; Correlation; Variant of Concern; Variant of Interest;
D O I
10.1109/DASA54658.2022.9765313
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
SAR-CoV-2 is now spreading around the world, resulting in increased hospitalization and catastrophic fatality. The genome for coronavirus disease is vulnerable to abnormalities, which leads to genetic distortion and immunity loss. A novel variant of concern (VoC) with a new mutation having Pango lineage B.1.1.529, namely Omicron by WHO, was first found in South Africa at the end of November 2021. As of date, this new variant has already been spread rapidly in more than 58 countries and no doubt including India. In this work, Exploratory Data Analysis (EDA) analysis has been taken on different types of Covid-19 variants to date, where Omicron has demonstrated to be more increased transmissibility and infectious as compared to other variants. EDA offers several graphical representations to a better comprehension of the data and generates statistics for numerical data present in the dataset, as of 6th December 2021. Starting from 2nd December 2021 India has reported 23 new omicron cases within four days, which is a major challenge both for the doctors and government. Moreover, the EDA technique has been carried out for finding a significant correlation with the total number of Omicron cases as of the date in India using a scatter plot. Also, a conceptual design has been configured in this project that describes the whole process of how EDA analysis has been carried out and a Treemap that looks forward to outliers in all countries representing more than twenty-five covid-19 variants.
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页码:94 / 99
页数:6
相关论文
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