The focus of the present study is to compare and assess the socio‐economic implications of the 1918 influenza pandemic and the COVID‐19 pandemic in India. Both pandemics are similar in the nature of their disease and spread, and have had a far‐reaching impact on society and economies worldwide. To achieve their objective, the researchers adopted the method of systematic literature review (SLR). The findings of the review have been categorised in four subsections: comparison of 1918 influenza and COVID‐19 pandemics in a global context; economic consequences of a pandemic in India; social consequences of a pandemic in India; and the pandemic mitigation measures adopted by India. The findings suggest there are similarities in the socio‐economic implications of the two pandemics and also indicate that developing countries face more severe implications of such pandemics as compared to developed countries. The research findings from the review of literature are followed by the recommendations made by the researchers.
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.
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