Global bibliometric analysis of publications on COVID-19 in newborns

Abstract

Purpose: Though there are gaps in the relationship between COVID-19 and newborns no bibliometric analysis was published until now. This study aims to perform a bibliometric overview of literature of the relationship between newborns and COVID-19 in order to guide future studies addressing the same problem. Materials and Methods: Web of science was used to scan the published literature on newborns & COVID-19 by searching studies with and bibliometric networks were visualized by VOSviewer software. COVID-19, SARS-CoV-2, 2019-nCoV with perinatal, neonatal, newborn and infant were used as keywords. Results: 912 keyword-coherent publications were found in the period 1970-2021, (491; 54.43% high quality studies) mostly about pediatrics and obstetrics gynecology with most frequent keywords; COVID-19, Sars-Cov-2, Pregnancy, Vertical Transmission and Newborn. United States, China, England and Italy have the highest number of studies as well as highest number of citations. COVID-19 on neonatal outcomes and pregnancy had highest citation. Conclusion: Scientific network monitoring via bibliometric analysis is crucial and proved highly beneficial during COVID-19 crisis. Despite the articles on COVID-19 & newborn have a decent number of citations, it vastly lower compared to the other studies about adults or clinical features and should be increased while it is still early.