IDEAS home Printed from https://ideas.repec.org/a/spr/eurase/v13y2023i1d10.1007_s40822-021-00193-2.html
   My bibliography  Save this article

An analysis of COVID-19 and WHO global research roadmap: knowledge mapping and future research agenda

Author

Listed:
  • Mohammad Ashraful Mobin

    (iFINTELL Business Intelligence
    Universiti Sains Malaysia)

  • Masnun Mahi

    (iFINTELL Business Intelligence
    University of Malaya)

  • M. Kabir Hassan

    (University of New Orleans)

  • Marzia Habib

    (iFINTELL Business Intelligence)

  • Shabiha Akter

    (iFINTELL Business Intelligence
    Taylor’s University)

  • Tahmina Hassan

    (Independent Public Health Researcher)

Abstract

In this study, we review the publications on the COVID-19 pandemic indexed in the Scopus database from 1st January to 15th October 2020, using bibliometric analysis. In essence, we evaluate the publications against the global research roadmap outlined by the World Health Organization (WHO). We find that academic publications are contributed by researchers worldwide, with the USA and China being the top contributors in several parameters. We show that most publications are clustered around the issues related to the outbreak, diagnosis, candidate medicine, and disease treatment by analyzing publication keywords. Besides, considerable importance is given to unravel the connection between the present viral disease with its previous strains and the anxiety and stress-related problems that arise from the COVID-19. We further visualize the knowledge structure of the publication with thematic mapping and illustrate that mental health-related research denotes a specialized research theme besides public health issues being the basic theme. Our findings aid to comprehend how the scholarly publications have developed to address the prioritized research agendas by the WHO. Thus, our study can guide researchers to explore the less studied areas. Consequently, it will assist policymakers and governments in developing integrated and effective policies to fight the pandemic.

Suggested Citation

  • Mohammad Ashraful Mobin & Masnun Mahi & M. Kabir Hassan & Marzia Habib & Shabiha Akter & Tahmina Hassan, 2023. "An analysis of COVID-19 and WHO global research roadmap: knowledge mapping and future research agenda," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 35-56, March.
    • Handle: RePEc:spr:eurase:v:13:y:2023:i:1:d:10.1007_s40822-021-00193-2
    DOI: 10.1007/s40822-021-00193-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40822-021-00193-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40822-021-00193-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. Ludo Waltman & Clara Calero‐Medina & Joost Kosten & Ed C.M. Noyons & Robert J.W. Tijssen & Nees Jan van Eck & Thed N. van Leeuwen & Anthony F.J. van Raan & Martijn S. Visser & Paul Wouters, 2012. "The Leiden ranking 2011/2012: Data collection, indicators, and interpretation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(12), pages 2419-2432, December.
    3. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
    4. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    5. M.J. Cobo & A.G. López‐Herrera & E. Herrera‐Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    6. Valentina Della Corte & Giovanna Del Gaudio & Fabiana Sepe & Fabiana Sciarelli, 2019. "Sustainable Tourism in the Open Innovation Realm: A Bibliometric Analysis," Sustainability, MDPI, vol. 11(21), pages 1-18, November.
    7. Ludo Waltman & Clara Calero-Medina & Joost Kosten & Ed C.M. Noyons & Robert J.W. Tijssen & Nees Jan Eck & Thed N. Leeuwen & Anthony F.J. Raan & Martijn S. Visser & Paul Wouters, 2012. "The Leiden ranking 2011/2012: Data collection, indicators, and interpretation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2419-2432, December.
    8. Fatih Demiroz & Thomas W. Haase, 2019. "The concept of resilience: a bibliometric analysis of the emergency and disaster management literature," Local Government Studies, Taylor & Francis Journals, vol. 45(3), pages 308-327, May.
    9. Tove Faber Frandsen & Ronald Rousseau, 2005. "Article impact calculated over arbitrary periods," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(1), pages 58-62, January.
    10. Huchang Liao & Ming Tang & Li Luo & Chunyang Li & Francisco Chiclana & Xiao-Jun Zeng, 2018. "A Bibliometric Analysis and Visualization of Medical Big Data Research," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    11. Mohadab, Mohamed El & Bouikhalene, Belaid & Safi, Said, 2020. "Bibliometric method for mapping the state of the art of scientific production in Covid-19," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    12. Ole Ellegaard & Johan A. Wallin, 2015. "The bibliometric analysis of scholarly production: How great is the impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1809-1831, December.
    13. J. Homolak & I. Kodvanj & D. Virag, 2020. "Preliminary analysis of COVID-19 academic information patterns: a call for open science in the times of closed borders," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2687-2701, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Valentina Della Corte & Giovanna Del Gaudio & Fabiana Sepe & Simone Luongo, 2021. "Destination Resilience and Innovation for Advanced Sustainable Tourism Management: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    2. Weisheng Chiu & Thomas Chun Man Fan & Sang-Back Nam & Ping-Hung Sun, 2021. "Knowledge Mapping and Sustainable Development of eSports Research: A Bibliometric and Visualized Analysis," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    3. Davidescu, Adriana AnaMaria & Petcu, Monica Aureliana & Curea, Stefania Cristina & Manta, Eduard Mihai, 2022. "Two faces of the same coin: Exploring the multilateral perspective of informality in relation to Sustainable Development Goals based on bibliometric analysis," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 683-705.
    4. Klaus Kammerer & Manuel Göster & Manfred Reichert & Rüdiger Pryss, 2021. "Ambalytics: A Scalable and Distributed System Architecture Concept for Bibliometric Network Analyses," Future Internet, MDPI, vol. 13(8), pages 1-29, August.
    5. Sofia Aparisi-Torrijo & Gabriela Ribes-Giner, 2022. "Female entrepreneurial leadership factors," International Entrepreneurship and Management Journal, Springer, vol. 18(4), pages 1707-1737, December.
    6. Baolei Qi & Mohamed Marie & Ahmed S. Abdelwahed & Ibrahim N. Khatatbeh & Mohamed Omran & Abdallah A. S. Fayad, 2023. "Bank Risk Literature (1978–2022): A Bibliometric Analysis and Research Front Mapping," Sustainability, MDPI, vol. 15(5), pages 1-27, March.
    7. Gallego-Losada, María-Jesús & Montero-Navarro, Antonio & García-Abajo, Elisa & Gallego-Losada, Rocío, 2023. "Digital financial inclusion. Visualizing the academic literature," Research in International Business and Finance, Elsevier, vol. 64(C).
    8. Lanzalonga Federico & Chmet Federico & Petrolo Basilio & Brescia Valerio, 2023. "Exploring Diversity Management to Avoid Social Washing and Pinkwashing: Using Bibliometric Analysis to Shape Future Research Directions," Journal of Intercultural Management, Sciendo, vol. 15(1), pages 41-65, March.
    9. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    11. Rocco Mazza & Roberta Pace & Anna Paterno, 2023. "Themes and policies on population ageing: a bibliometric approach," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 77(2), pages 33-43, April-Jun.
    12. Chen, Xiaoyan & Liu, Yisheng, 2020. "Visualization analysis of high-speed railway research based on CiteSpace," Transport Policy, Elsevier, vol. 85(C), pages 1-17.
    13. Secinaro, Silvana & Calandra, Davide & Lanzalonga, Federico & Ferraris, Alberto, 2022. "Electric vehicles’ consumer behaviours: Mapping the field and providing a research agenda," Journal of Business Research, Elsevier, vol. 150(C), pages 399-416.
    14. Gallego-Losada, Rocío & Montero-Navarro, Antonio & Rodríguez-Sánchez, José-Luis & González-Torres, Thais, 2022. "Retirement planning and financial literacy, at the crossroads. A bibliometric analysis," Finance Research Letters, Elsevier, vol. 44(C).
    15. Anita Mendiratta & Shveta Singh & Surendra Singh Yadav & Arvind Mahajan, 2023. "Bibliometric and Topic Modeling Analysis of Corporate Social Irresponsibility," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 319-339, September.
    16. Sudhir Chandra Das & Sonali Arunima Dhan, 2023. "Trends and Directions of Employee Experience: A Bibliometric Review for Future Research Agenda," Paradigm, , vol. 27(2), pages 172-191, December.
    17. Xinxin Wang & Zeshui Xu & Yong Qin, 2022. "Structure, trend and prospect of operational research: a scientific analysis for publications from 1952 to 2020 included in Web of Science database," Fuzzy Optimization and Decision Making, Springer, vol. 21(4), pages 649-672, December.
    18. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.
    19. Leonardo B. Furstenau & Bruna Rabaioli & Michele Kremer Sott & Danielli Cossul & Mariluza Sott Bender & Eduardo Moreno Júdice De Mattos Farina & Fabiano Novaes Barcellos Filho & Priscilla Paola Severo, 2021. "A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020," IJERPH, MDPI, vol. 18(3), pages 1-24, January.
    20. Hana Tomaskova & Martin Kopecky, 2020. "Specialization of Business Process Model and Notation Applications in Medicine—A Review," Data, MDPI, vol. 5(4), pages 1-42, October.

    More about this item

    Keywords

    COVID-19; Pandemic; Bibliometric; Knowledge mapping; Science mapping; World Health Organization;
    All these keywords.

    JEL classification:

    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Y10 - Miscellaneous Categories - - Data: Tables and Charts - - - Data: Tables and Charts

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eurase:v:13:y:2023:i:1:d:10.1007_s40822-021-00193-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.