Preventing Pandemic Diseases: An Augmented Reality & Artificial Intelligence Model

Authors

DOI:

https://doi.org/10.46328/ijte.231

Keywords:

Artificial intelligence, Augmented reality, COVID-19, Disease, Pandemic

Abstract

As of April 18, 2021, the coronavirus or COVID-19 virus has affected 219 countries and territories, killed over 3 million people, and infected over 141 million people globally (Pattersson et al., 2021). The purpose of this literature review is to explore how augmented reality (AR) and artificial intelligence (AI) can help to stop the spread of a disease from becoming a pandemic by informing health agencies and national governments about when to implement healthy measures, close their borders, and restrict travel sooner in the future. Research shows that AR is an excellent tool for capturing incidents in three dimensions (3D) and has the ability to maneuverer data to be viewed and understood in all directions. Also, AI has the ability to analyze vast data, learn to improve itself in order to predict future situations, and make deductive or data-reliant decisions in real time. Despite much research on both AR and AI in the health field, this research focuses on how to use these tools to make quicker and better decisions than we did in 2020 for COVID-19.

Author Biography

Ehi E. Aimiuwu, Campbellsville University

Dr. Ehi. E. Aimiuwu is an Assistant Professor in the Master of Science in Information Technology Management (MSITM) program in the Business Administration department at Campbellsville University, Campbellsville, KY. USA.  Dr. Aimiuwu is a member of the Project Management Institute, research reviewer for many information systems journals and conferences, author of many books, and has done public speaking to live audiences, as well as on television and radio.  He has taught at Campbellsville University for about 4 years, but has over 16 years of experience in teaching information systems courses at universities and colleges.  Aimiuwu has taught many university courses that include Current & Emerging Technologies, Management Information Systems, Information Systems Security, Team Management, Negotiation & Conflict Management, Information Systems Infrastructure, Project Management, and Disaster & Recovery Planning. His area of interest includes Artificial Intelligence, Augmented Reality, Virtual Reality, Blockchain, Big Data, Business Intelligence, and Web Analytics. Some of his works have been published in the International Journal of Business Intelligence Research, Journal of International Business Education, Journal of Information Systems Applied Research, Information Systems Education Journal, and Americas Conference on Information Systems.

References

Aimiuwu, E. E. (2022). Preventing pandemic diseases: An augmented reality & artificial intelligence model. International Journal of Technology in Education (IJTE), 5(2), 321-332. https://doi.org/10.46328/ijte.231

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Published

2022-05-18

Issue

Vol. 5 No. 2 (2022)

Section

Articles

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