Thematic evolution of coronavirus disease: a longitudinal co-word analysis

Abstract

PurposeUsing science mapping analysis approach and co-word analysis, the present study explores and visualizes research fields and thematic evolution of the coronavirus. Based on this method, one can get a picture of the real content of the themes in the mentioned thematic area and identify the main minor and emerging themes.Design/methodology/approachThis study was conducted based on co-word science mapping analysis under a longitudinal study (from 1988 to 2020). The collection of documents in this study was further divided into three subperiods: 1988–1998, 1999–2009 and 2010–2020. In order to perform science mapping analysis based on co-word bibliographic networks, SciMAT was utilized as a bibliometric tool. Moreover, WoS, PubMed and Scopus bibliographic databases were used to download all records.FindingsIn this study, strategic diagrams were demonstrated for the coronavirus research for a chronological period to assess the most relevant themes. Each diagram depended on the sum of documents linked to each research topic. In the first period (1988–1998), the most centralizations were on virology and evaluation of coronavirus structure and its structural and nonstructural proteins. In the second period (1999–2009), with due attention to high population density in eastern Asia and the increasing number of people affected with the new generation of coronavirus (named severe acute respiratory syndrome virus or SARS virus), publications have been concentrated on “antiviral activity.” In the third period (2010–2020), there was a tendency to investigate clinical syndromes, and most of the publications and citations were about hot topics like “severe acute respiratory syndrome,” “coronavirus” and “respiratory tract disease.” Scientometric analysis of the field of coronavirus can be regarded as a roadmap for future research and policymaking in this important area.Originality/valueThe originality of this research can be considered in two ways. First, the strategic diagrams of coronavirus are drawn in four thematic areas including motor cluster, basic and transversal cluster, highly developed cluster and emerging and declining cluster. Second, COVID-19 is mentioned as a hot topic of research.

A bibliometric analysis of domestic and international research on maker education in the post-epidemic era

“…It takes the literature system and bibliometric characteristics as the research object, studies the distribution structure, quantitative relationships, patterns of change and quantitative management of the literature and then explores the structure, characteristics and patterns of certain research fields. In this study, the frequency distribution, keyword co-occurrence, cluster analysis and keyword emergence maps are used to visualize the number of articles, journal distribution, authors (Feng et al, 2022a, b), institutions and topics (Khazaneha et al, 2022) based on the 462 Chinese and 361 English literature screened. By comparing and analyzing the current research hotspots and cutting-edge topics of maker education at home and abroad, we can predict its future development path and prospective trends.…”

“…In this study, the frequency distribution, keyword co-occurrence, cluster analysis and keyword emergence maps are used to visualize the number of articles, journal distribution, authors (Feng et al. , 2022a, b), institutions and topics (Khazaneha et al. , 2022) based on the 462 Chinese and 361 English literature screened.…”

SciBR-M: a method to map the evolution of scientific interest - A case study in educational data mining

“…, 2022 scientifically mapped the articles on artificial intelligence and analysed its growth, collaboration network, and trending topics to highlight the challenges and opportunities in adopting AI-based advancements in library systems. Khazaneha et al. (2022) used science mapping to explore and visualise research fields and themes to map and analyse the evolution of the coronavirus.…”

“…Recently, Borgohain et al, 2022 scientifically mapped the articles on artificial intelligence and analysed its growth, collaboration network, and trending topics to highlight the challenges and opportunities in adopting AI-based advancements in library systems. Khazaneha et al (2022) used science mapping to explore and visualise research fields and themes to map and analyse the evolution of the coronavirus. In Nadi-Ravandi and Batooli (2022), the authors aim to investigate the articles related to COVID-19 using co-occurrence analysis, bibliometric analysis, and building a science map.…”

Overview of herbal therapy of acute and chronic pulmonary disease: a conceptual map

“…The third period coincided with the global coronavirus pandemic when journals mostly published articles on “acute respiratory syndrome,” “coronavirus” and “respiratory diseases”. The results of their study may help to provide a roadmap for future research and policymaking in this critical area (Khazaneha et al ., 2022).…”