Exploring the Research Trends in COVID-19 in Collaboration with Industry 4.0 Technology as an Indispensable Effective Tool to promote Global Health through Bibliometric Analysis

Abstract

Objective: Currently, the entire world is dealing with a lethal crisis caused by COVID-19. SARS-CoV-2 is the root cause of the new disease Coronavirus. Novel Coronavirus has gripped more than 215 countries and territories worldwide. This study provides the bibliographic analysis of data on the epidemiological research conducted on COVID-19 and technology-based tools and applications extensively used to study and interpret the Coronavirus to tackle the pandemic in every way possible. Method: We investigated the data from the Scopus search engine, Google Scholar, and World Health Organization (WHO) using associated terms like Coronavirus, COVID-19, Artificial Intelligence (A.I.), Machine Learning (ML), Big data, Internet of Things (IoT). The data stretches from December 2019 up to 9 May 2020.Result: A.I., an ML-supported platform, is used by many agencies worldwide. Out of 217 publications from 57 countries, China and United States contributed maximum technology-based research articles in correlation with COVID 19. Conclusion: The world is in the middle of a pandemic due to COVID-19. Globally human health has been impacted. This paper attempts to understand the intellectual pattern of COVID-19 and 4.0 industry tools in research using the Scopus database and conducting the bibliometric analysis. This bibliometric analysis would also facilitate future researchers' pathway to identify research carried out in COVID-19, focusing on A.I., ML, and advanced digital technologies.It would develop the existing knowledge potential and help future researchers collaborate and facilitate interdisciplinary research to tackle the pandemic better.