Empirical Assessment of Bacillus Calmette-Gu閞in Vaccine to Combat COVID-19

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Nikita Jain, Vedika Gupta, Chinmay Chakraborty, Agam Madan, Deepali Virmani, L. Salas-Morera, L. García-Hernández
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Abstract

COVID-19 has become one of the critical health issues globally, which surfaced first in latter part of the year 2019. It is the topmost concern for many nations' governments as the contagious virus started mushrooming over adjacent regions of infected areas. In 1980, a vaccine called Bacillus Calmette-Guerin (BCG) was introduced for preventing tuberculosis and lung cancer. Countries that have made the BCG vaccine mandatory have witnessed a lesser COVID-19 fatality rate than the countries that have not made it compulsory. This paper's initial research shows that the countries with a long-term compulsory BCG vaccination system are less affected by COVID-19 than those without a BCG vaccination system. This paper discusses analytical data patterns for medical applications regarding COVID-19 impact on countries with mandatory BCG status on fatality rates. The paper has tackled numerous analytical challenges to realize the full potential of heterogeneous data. An analogy is drawn to demonstrate how other factors can affect fatality and infection rates other than BCG vaccination only, such as age groups affected, other diseases, and stringency index. The data of Spain, Portugal, and Germany have been taken for a case study of BCG impact analysis. © 2021 Tech Science Press. All rights reserved.
卡介苗-谷芽孢杆菌閞抗新冠肺炎疫苗的实证评价
COVID-19已成为全球重大卫生问题之一,于2019年下半年首次浮出水面。随着这种传染性病毒开始在受感染地区的邻近地区迅速蔓延,这是许多国家政府最关心的问题。1980年,一种名为卡介苗(BCG)的疫苗被引入,用于预防结核病和肺癌。强制接种卡介苗的国家的COVID-19死亡率低于未强制接种的国家。本文的初步研究表明,与没有卡介苗接种制度的国家相比,长期实行卡介苗强制接种制度的国家受COVID-19的影响较小。本文讨论了关于COVID-19对强制使用BCG的国家对死亡率影响的医疗应用分析数据模式。本文解决了许多分析挑战,以实现异构数据的全部潜力。通过类比说明除了卡介苗接种之外,其他因素如何影响致死率和感染率,如受影响年龄组、其他疾病和严格性指数。西班牙、葡萄牙和德国的数据被用于BCG影响分析的案例研究。©2021科技科学出版社。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cmc-computers Materials & Continua
Cmc-computers Materials & Continua 工程技术-材料科学:综合
CiteScore
5.30
自引率
19.40%
发文量
345
审稿时长
1 months
期刊介绍: This journal publishes original research papers in the areas of computer networks, artificial intelligence, big data management, software engineering, multimedia, cyber security, internet of things, materials genome, integrated materials science, data analysis, modeling, and engineering of designing and manufacturing of modern functional and multifunctional materials. Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.
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