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Healthcare management and COVID-19: data-driven bibliometric analytics

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  • Monalisha Pattnaik

    (Sambalpur University)

Abstract

Healthcare management and COVID-19 has been broadly studied during the recent few days, especially after declaration of the COVID-19 outbreak in almost all countries in the world. Therefore, the present research article aims to provide an extensive overview of the scientific literature about the study of healthcare management and COVID-19 for choosing the new topic of related research. It conducts four types of analyses where the first analysis is a trend analysis and other three analyses are related to network and density maps. The second analysis is analyzed decisively in order to produce all keywords, author keywords and index keywords co-occurrence network map and country co-authorship network map and tables summarizing the significant scientific trends under the present topics. The third analysis is analyzed purposefully in order to produce all documents, journals, authors and countries bibliographic coupling network maps and tables summarizing the significant scientific trends. The last analysis provides valuable approaching of the most significant used keywords on the research topic and the links among them using keyword co-occurrence network and density maps respectively.

Suggested Citation

  • Monalisha Pattnaik, 2023. "Healthcare management and COVID-19: data-driven bibliometric analytics," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 234-255, March.
    • Handle: RePEc:spr:opsear:v:60:y:2023:i:1:d:10.1007_s12597-022-00576-2
    DOI: 10.1007/s12597-022-00576-2
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    References listed on IDEAS

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    1. Luca Urciuoli & Juha Hintsa, 2018. "Improving supply chain risk management - can additional data help?," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 30(2), pages 195-224.
    2. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
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