Bibliometric Analysis of COVID-19 and the Association With the Number of Total Cases.

Pasin Ö., Pasin T.

Disaster medicine and public health preparedness, vol.16, no.5, pp.1947-1952, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 16 Issue: 5
  • Publication Date: 2022
  • Doi Number: 10.1017/dmp.2021.177
  • Journal Name: Disaster medicine and public health preparedness
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, PASCAL, CAB Abstracts, CINAHL, EMBASE, MEDLINE
  • Page Numbers: pp.1947-1952
  • Keywords: COVID-19, coronavirus, bibliometric, analysis
  • Bezmialem Vakıf University Affiliated: Yes


Objectives: Coronavirus disease 2019 (COVID-19) has spread quickly all over the world. The number of studies in this field being performed and published is increasing day by day. The aim of this study is to analyze the publications in the field of COVID-19 with the help of bibliometric methods. After bibliometric analysis, the second aim is to investigate the relationship between the number of publications in countries and the number of total cases. Methods: The data in the study were taken from the Web of Science (WOS) site. Analyses and mapping processes were performed using VOSviewer and SPSS package program. The words "COVID-19", "Novel Coronavirus", "2019-nCoV", "SARS-CoV-2" were used as key words for analysis. The data include publications from 2019 to 2021 (January 10). Results: As a result of the study, a total of 38,080 publications were evaluated. It was determined that the countries with the highest number of publications on COVID-19 were China and the United States, and the country with the highest number of citations was China. Most of the studies in the field of COVID-19 have been conducted on General Internal Medicine and Public Enviromental Occupational Health. In addition, statistically significant relationships were observed between the number of publications and the number of total cases in terms of countries (r = 0.806; P < 0.001). Conclusions: As a result, bibliometric analysis about COVID-19 can be useful for the future studies. It gives a general perspective of the studies.