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Sustainability 2018, 10(10), 3414; https://doi.org/10.3390/su10103414

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

1
Database/Bioinformatics Laboratory, Chungbuk National University, Cheongju 28644, Korea
2
Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Received: 16 August 2018 / Revised: 12 September 2018 / Accepted: 19 September 2018 / Published: 25 September 2018
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PDF [1401 KB, uploaded 25 September 2018]
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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. View Full-Text
Keywords: syndromic surveillance; healthcare; sustainable healthcare; infectious disease; bibliometric analysis; domain mapping; CiteSpace; WoCC; Scopus; Statplanet syndromic surveillance; healthcare; sustainable healthcare; infectious disease; bibliometric analysis; domain mapping; CiteSpace; WoCC; Scopus; Statplanet
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Musa, I.; Park, H.W.; Munkhdalai, L.; Ryu, K.H. Global Research on Syndromic Surveillance from 1993 to 2017: Bibliometric Analysis and Visualization. Sustainability 2018, 10, 3414.

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