Annals of Statistical Data

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Annals of Statistical Data
Home Archive Volume 1 - Issue 1 COVID-19 and Food Systems-a Bibliometric review

Volume 1   Issue 1

Research Article

COVID-19 and Food Systems-a Bibliometric review

Article Identifier: https://identifier.visnav.in/1.0005/asd-22c-26001/
South Africa
Abstract

The Corona virus pandemic profoundly impacted the food systems because of various lock-down measures enacted across the world. Considerable case or review studies have been conducted on COVID-19 and Food systems, but there is no bibliometric review attempting to provide an objective, systematic and comprehensive analysis of the existing articles. In this study, we collected 84 research publications from Scopus and 259 from Web of Science. The data were merged using R and duplicates were filtered and removed until we are left with a sample of 280 documents. Additionally, the data were analyzed using the word cloud, thematic map, and conceptual map. The results show that areas such as “COVID-19”, “Food systems” and “Epidemic” were heavily researched. This paper recommends that other researchers may also, gather data from the databases not included in this study

Keywords: Coronavirus (COVID-19), food systems, bibliometrics, Web of Science, Scopus
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