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Visualizing the Knowledge Base and Research Hotspot of Public Health Emergency Management: A Science Mapping Analysis-Based Study

Author

Listed:
  • Kai Chen

    (Zhejiang Institute of Communications, Hangzhou 311112, China)

  • Xiaoping Lin

    (Zhejiang Institute of Communications, Hangzhou 311112, China)

  • Han Wang

    (College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Yujie Qiang

    (College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Jie Kong

    (College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Rui Huang

    (College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Haining Wang

    (College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Hui Liu

    (College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

Abstract

Public health emergency management has been one of the main challenges of social sustainable development since the beginning of the 21st century. Research on public health emergency management is becoming a common focus of scholars. In recent years, the literature associated with public health emergency management has grown rapidly, but few studies have used a bibliometric analysis and visualization approach to conduct deep mining and explore the characteristics of the public health emergency management research field. To better understand the present status and development of public health emergency management research, and to explore the knowledge base and research hotspots, the bibliometric method and science mapping technology were adopted to visually evaluate the knowledge structure and research trends in the field of public health emergency management studies. From 2000 to 2020, a total of 3723 papers related to public health emergency management research were collected from the Web of Science Core Collection as research data. The five main research directions formed are child prevention, mortality from public health events, public health emergency preparedness, public health emergency management, and coronavirus disease 2019 (COVID-19). The current research hotspots and frontiers are climate change, COVID-19 and related coronaviruses. Further research is needed to focus on the COVID-19 and related coronaviruses. This study intends to contribute inclusive support to related academia and industry in the aspects of public health emergency management and public safety research, as well as research hotspots and future research directions.

Suggested Citation

  • Kai Chen & Xiaoping Lin & Han Wang & Yujie Qiang & Jie Kong & Rui Huang & Haining Wang & Hui Liu, 2022. "Visualizing the Knowledge Base and Research Hotspot of Public Health Emergency Management: A Science Mapping Analysis-Based Study," Sustainability, MDPI, vol. 14(12), pages 1-23, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7389-:d:840678
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    References listed on IDEAS

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    Cited by:

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    3. Ze Wei & Hui Liu & Xuewen Tao & Kai Pan & Rui Huang & Wenjing Ji & Jianhai Wang, 2023. "Insights into the Application of Machine Learning in Industrial Risk Assessment: A Bibliometric Mapping Analysis," Sustainability, MDPI, vol. 15(8), pages 1-29, April.

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