Discussing Applications in Sciences in the prevention of COVID-19*

Authors

  • Bui Anh Tuan Department of Mathematics Education, Teachers College, Can Tho University, Can Tho City, Vietnam
  • Kim - Hung Pho Fractional Calculus, Optimization and Algebra Research Group, Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam
  • Shin-Hung Pan Department of M-Commerce and Multimedia Applications, Asia University, Taiwan
  • Wing-Keung Wong Department of Finance, Fintech Center, and Big Data Research Center, Asia University, Taiwan

DOI:

https://doi.org/10.47654/v26y2022i4p1-16

Keywords:

Discussion, Applications, Decision Sciences, COVID-19

Abstract

Purpose: The main purpose of this work is to provide an overview of the COVID-19 issue, this article discusses in detail and fully the important and meaningful applications of Decision Sciences to the prevention of COVID-19. Because COVID-19 is an extremely hot topic and the most fascinating question in recent years, the research on this topic is very interesting and noticed by scientists.

Design/methodology/approach:  In the scope of this study, we first introduce definitions and issues related to COVID-19 and study the negative impacts of COVID-19 diseases on all sectors of society. We then provide a comprehensive introduction to the applied aspects of Decision Science in the prevention of COVID-19.

Findings: The findings of our research help people have a correct, complete, overview, and comprehensive view of the COVID-19 issue. All COVID-19 issues are discussed in great detail and completeness in this article.

Originality/value: All the issues discussed in this study are original and new in the literary literature.

Practical implications: This will help the countries’ leaders have the best way to fight the COVID-19 pandemic more effectively and cost-effectively.

Published

2022-11-15

How to Cite

Bui Anh Tuan, Kim - Hung Pho, Shin-Hung Pan, & Wong, W.-K. (2022). Discussing Applications in Sciences in the prevention of COVID-19*. Advances in Decision Sciences, 26(4), 1–16. https://doi.org/10.47654/v26y2022i4p1-16