A bibliometric analysis of coronavirus disease (COVID-19) mortality rate

Abstract

Background: Coronavirus disease 2019 (COVID-19) has had a profound global effect on mortality rates. There were many studies about mortality and COVID-19, but there is no study about bibliometric analysis of these studies. This study provides a general overview of studies on the mortality rate of COVID-19. Methods: Publications on mortality rate during the COVID-19 pandemic from December 1, 2019, to November 17, 2021, were extracted from the Pubmed database. Bibliometrics indicator analysis was performed using Bibliometric/Biblioshiny, We used the following keywords: “covid-19 mortality[Title]”; “SARS-CoV-2 mortality[Title]”; “2019-nCoV mortality[Title]”; “SARS-CoV-2”[MeSH Terms]”; “SARS-CoV-2”; “2019 ncov”; “mortality”[Title]”. Results: From December 1, 2019, to November 17, 2021, 2,848 documents were retrieved, with 2,202 (or 77.3 %) being journal articles. Most publications were produced by the Plos One journal (93 3,3 %). Wang Y, a Chinese author, has authored the most articles on this topic (64, 8.91 %). The strongest cooperating countries’ network consisted of the United States, Italy, France, China, and Spain. Ten keyword clusters identifying mortality hotspots were discovered. Conclusion: Bibliometrix analysis of the mortality rate in COVID-19 is helpful for mapping studies related to the mortality rate of COVID-19. This article provides an overview of further research related to mortality in COVID-19.