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Global Research on Syndromic Surveillance from 1993 to 2017: Bibliometric Analysis and Visualization

Author

Listed:
  • Ibrahim Musa

    (Database/Bioinformatics Laboratory, Chungbuk National University, Cheongju 28644, Korea
    These authors contributed equally to this work.)

  • Hyun Woo Park

    (Database/Bioinformatics Laboratory, Chungbuk National University, Cheongju 28644, Korea
    These authors contributed equally to this work.)

  • Lkhagvadorj Munkhdalai

    (Database/Bioinformatics Laboratory, Chungbuk National University, Cheongju 28644, Korea)

  • Keun Ho Ryu

    (Database/Bioinformatics Laboratory, Chungbuk National University, Cheongju 28644, Korea
    Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam)

Abstract

Syndromic Surveillance aims at analyzing medical data to detect clusters of illness or forecast disease outbreaks. Although the research in this field is flourishing in terms of publications, an insight of the global research output has been overlooked. This paper aims at analyzing the global scientific output of the research from 1993 to 2017. To this end, the paper uses bibliometric analysis and visualization to achieve its goal. Particularly, a data processing framework was proposed based on citation datasets collected from Scopus and Clarivate Analytics’ Web of Science Core Collection (WoSCC). The bibliometric method and Citespace were used to analyze the institutions, countries, and research areas as well as the current hotspots and trends. The preprocessed dataset includes 14,680 citation records. The analysis uncovered USA, England, Canada, France and Australia as the top five most productive countries publishing about Syndromic Surveillance. On the other hand, at the Pinnacle of academic institutions are the US Centers for Disease Control and Prevention (CDC). The reference co-citation analysis uncovered the common research venues and further analysis of the keyword cooccurrence revealed the most trending topics. The findings of this research will help in enriching the field with a comprehensive view of the status and future trends of the research on Syndromic Surveillance.

Suggested Citation

  • Ibrahim Musa & Hyun Woo Park & Lkhagvadorj Munkhdalai & Keun Ho Ryu, 2018. "Global Research on Syndromic Surveillance from 1993 to 2017: Bibliometric Analysis and Visualization," Sustainability, MDPI, vol. 10(10), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3414-:d:171954
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    Cited by:

    1. Shoukai Sun & Yuantong Jiang & Shuanning Zheng, 2020. "Research on Ecological Infrastructure from 1990 to 2018: A Bibliometric Analysis," Sustainability, MDPI, vol. 12(6), pages 1-23, March.

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