Public Health Research in the First Year of the COVID-19 Pandemic: Bibliometric and Content Analyses
Abstract
The purpose of this research was to perform bibliometric and content analyses of research articles in the field of COVID-19-related public health published in 2020. Keywords (“COVID-19” or “coronavirus disease 2019” or “2019-nCov” or “2019 Novel Coronavirus” or “SARS-CoV-2”) determined in the Web of Science database and filtering resulted in 2949 articles being identified, and following application of inclusion and exclusion criteria, 1553 research articles were subjected to bibliometric and content analyses. These analyses were performed on Microsoft Excel, VOSviever 1.6.2, and Python 3.10 and scikit-learn 1.5 software. Bibliometric and contents analyses of the 1553 research articles revealed 113 countries, 2706 institutions, and 8703 authors, with 3471 different keywords being employed, and papers being published in 179 scientific journals. The most productive country was the USA. Four themes were revealed using the keywords, and 20 using the abstract sections. Evaluated as a whole, studies from different countries, institutions, and authors concerned the subjects of the COVID-19 “disease agent, mortality and associated factors, information, attitudes, and behaviors concerning the disease, and its effects on mental and psychological health”.
Keywords
Bibliometric analysis , Content analysis , COVID-19 , Public health
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