IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i17p6218-d404793.html
   My bibliography  Save this article

The Prediction of Infectious Diseases: A Bibliometric Analysis

Author

Listed:
  • Wenting Yang

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Jiantong Zhang

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Ruolin Ma

    (Eli Broad College of Business, Michigan State University, Michigan, MI 48824, USA)

Abstract

Objective: The outbreak of infectious diseases has a negative influence on public health and the economy. The prediction of infectious diseases can effectively control large-scale outbreaks and reduce transmission of epidemics in rapid response to serious public health events. Therefore, experts and scholars are increasingly concerned with the prediction of infectious diseases. However, a knowledge mapping analysis of literature regarding the prediction of infectious diseases using rigorous bibliometric tools, which are supposed to offer further knowledge structure and distribution, has been conducted infrequently. Therefore, we implement a bibliometric analysis about the prediction of infectious diseases to objectively analyze the current status and research hotspots, in order to provide a reference for related researchers. Methods: We viewed “infectious disease*” and “prediction” or “forecasting” as search theme in the core collection of Web of Science from inception to 1 May 2020. We used two effective bibliometric tools, i.e., CiteSpace (Drexel University, Philadelphia, PA, USA) and VOSviewer (Leiden University, Leiden, The Netherlands) to objectively analyze the data of the prediction of infectious disease domain based on related publications, which can be downloaded from the core collection of Web of Science. Then, the leading publications of the prediction of infectious diseases were identified to detect the historical progress based on collaboration analysis, co-citation analysis, and co-occurrence analysis. Results: 1880 documents that met the inclusion criteria were extracted from Web of Science in this study. The number of documents exhibited a growing trend, which can be expressed an increasing number of experts and scholars paying attention to the field year by year. These publications were published in 427 different journals with 11 different document types, and the most frequently studied types were articles 1618 (83%). In addition, as the most productive country, the United States has provided a lot of scientific research achievements in the field of infectious diseases. Conclusion: Our study provides a systematic and objective view of the field, which can be useful for readers to evaluate the characteristics of publications involving the prediction of infectious diseases and for policymakers to take timely scientific responses.

Suggested Citation

  • Wenting Yang & Jiantong Zhang & Ruolin Ma, 2020. "The Prediction of Infectious Diseases: A Bibliometric Analysis," IJERPH, MDPI, vol. 17(17), pages 1-19, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6218-:d:404793
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/17/6218/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/17/6218/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    2. Peng Zhou & Xing-Lou Yang & Xian-Guang Wang & Ben Hu & Lei Zhang & Wei Zhang & Hao-Rui Si & Yan Zhu & Bei Li & Chao-Lin Huang & Hui-Dong Chen & Jing Chen & Yun Luo & Hua Guo & Ren-Di Jiang & Mei-Qin L, 2020. "Addendum: A pneumonia outbreak associated with a new coronavirus of probable bat origin," Nature, Nature, vol. 588(7836), pages 6-6, December.
    3. Zhang, Lin & ZHAO, Wenjing & Liu, Jianhua & Sivertsen, Gunnar & HUANG, Ying, 2020. "Do national funding organizations properly address the diseases with the highest burden? - Observations from China and the UK," SocArXiv ckpf8, Center for Open Science.
    4. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    5. Peng Zhou & Xing-Lou Yang & Xian-Guang Wang & Ben Hu & Lei Zhang & Wei Zhang & Hao-Rui Si & Yan Zhu & Bei Li & Chao-Lin Huang & Hui-Dong Chen & Jing Chen & Yun Luo & Hua Guo & Ren-Di Jiang & Mei-Qin L, 2020. "A pneumonia outbreak associated with a new coronavirus of probable bat origin," Nature, Nature, vol. 579(7798), pages 270-273, March.
    6. Neil M. Ferguson & Christl A. Donnelly & Roy M. Anderson, 2001. "Erratum: Transmission intensity and impact of control policies on the foot and mouth epidemic in Great Britain," Nature, Nature, vol. 414(6861), pages 329-329, November.
    7. Lin Zhang & Wenjing Zhao & Jianhua Liu & Gunnar Sivertsen & Ying Huang, 2020. "Do national funding organizations properly address the diseases with the highest burden?: Observations from China and the UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1733-1761, November.
    8. Chunmei Gan & Weijun Wang, 2015. "Research characteristics and status on social media in China: A bibliometric and co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1167-1182, November.
    9. 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.
    10. Hsin-Ning Su & Pei-Chun Lee, 2010. "Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 65-79, October.
    11. Lin Zhang & Wenjing Zhao & Beibei Sun & Ying Huang & Wolfgang Glänzel, 2020. "How scientific research reacts to international public health emergencies: a global analysis of response patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 747-773, July.
    12. Chencheng Fang & Jiantong Zhang & Wei Qiu, 2017. "Online classified advertising: a review and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1481-1511, December.
    13. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    14. Junwen Zhu & Weishu Liu, 2020. "Comparing like with like: China ranks first in SCI-indexed research articles since 2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1691-1700, August.
    15. Neil M. Ferguson & Christl A. Donnelly & Roy M. Anderson, 2001. "Transmission intensity and impact of control policies on the foot and mouth epidemic in Great Britain," Nature, Nature, vol. 413(6855), pages 542-548, October.
    16. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    17. Kate E. Jones & Nikkita G. Patel & Marc A. Levy & Adam Storeygard & Deborah Balk & John L. Gittleman & Peter Daszak, 2008. "Global trends in emerging infectious diseases," Nature, Nature, vol. 451(7181), pages 990-993, February.
    18. Vanessa Racloz & Rebecca Ramsey & Shilu Tong & Wenbiao Hu, 2012. "Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 6(5), pages 1-9, May.
    19. Henry Small, 1999. "Visualizing science by citation mapping," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 799-813.
    20. J. O. Lloyd-Smith & S. J. Schreiber & P. E. Kopp & W. M. Getz, 2005. "Superspreading and the effect of individual variation on disease emergence," Nature, Nature, vol. 438(7066), pages 355-359, November.
    21. Song Xu & Xiaotong Zhang & Lipan Feng & Wenting Yang, 2020. "Disruption risks in supply chain management: a literature review based on bibliometric analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3508-3526, June.
    22. Joël Mossong & Niel Hens & Mark Jit & Philippe Beutels & Kari Auranen & Rafael Mikolajczyk & Marco Massari & Stefania Salmaso & Gianpaolo Scalia Tomba & Jacco Wallinga & Janneke Heijne & Malgorzata Sa, 2008. "Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases," PLOS Medicine, Public Library of Science, vol. 5(3), pages 1-1, March.
    23. Weishu Liu & Guangyuan Hu & Mengdi Gu, 2016. "The probability of publishing in first-quartile journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1273-1276, March.
    24. Dongxiao Gu & Changyong Liang & Kyung-Sun Kim & Changhui Yang & Wenjuan Cheng & Jun Wang, 2015. "Which is More Reliable, Expert Experience or Information Itself? Weight Scheme of Complex Cases for Health Management Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 597-620.
    25. Stephen Eubank & Hasan Guclu & V. S. Anil Kumar & Madhav V. Marathe & Aravind Srinivasan & Zoltán Toroczkai & Nan Wang, 2004. "Modelling disease outbreaks in realistic urban social networks," Nature, Nature, vol. 429(6988), pages 180-184, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hasan Ejaz & Hafiz Muhammad Zeeshan & Fahad Ahmad & Syed Nasir Abbas Bukhari & Naeem Anwar & Awadh Alanazi & Ashina Sadiq & Kashaf Junaid & Muhammad Atif & Khalid Omer Abdalla Abosalif & Abid Iqbal & , 2022. "Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
    2. Paulina Phoobane & Muthoni Masinde & Tafadzwanashe Mabhaudhi, 2022. "Predicting Infectious Diseases: A Bibliometric Review on Africa," IJERPH, MDPI, vol. 19(3), pages 1-20, February.
    3. Bukola G. Olutola & Paulina Phoobane, 2023. "A Bibliometric Analysis of Literature on Prenatal Exposure to Air Pollution: 1994–2022," IJERPH, MDPI, vol. 20(4), pages 1-14, February.
    4. Shuai Fan & Jianfeng Jiang & Fei Li & Guoqiang Zeng & Yi Gu & Wentai Guo, 2022. "A Bibliometric Analysis of the Literature on Postgraduate Teaching," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    5. Xiang Li & Jing Yang & Lianhua Zhang & Guangjie Jin & Li Xu & Fujin Fang & Yunhui Li & Pingmin Wei, 2022. "A Bibliometric Analysis of Leprosy during 2000–2021 from Web of Science Database," IJERPH, MDPI, vol. 19(14), pages 1-14, July.
    6. Changlong Sun & Yongli Zhang & Wenwen Ma & Rong Wu & Shaojian Wang, 2022. "The Impacts of Urban Form on Carbon Emissions: A Comprehensive Review," Land, MDPI, vol. 11(9), pages 1-20, August.

    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. Liyan Huang & Hong Ching Goh & Rosli Said, 2023. "Understanding the social integration process of rural–urban migrants in urban china: a bibliometrics review," Journal of Population Research, Springer, vol. 40(4), pages 1-34, December.
    2. Milad Haghani & Pegah Varamini, 2021. "Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7005-7050, August.
    3. Shashi & Piera Centobelli & Roberto Cerchione & Amit Mittal, 2021. "Managing sustainability in luxury industry to pursue circular economy strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 432-462, January.
    4. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    5. Xiaomei Luo & Yuduo Wu & Lina Niu & Lucheng Huang, 2022. "Bibliometric Analysis of Health Technology Research: 1990~2020," IJERPH, MDPI, vol. 19(15), pages 1-17, July.
    6. Yongin Choi & James Slghee Kim & Heejin Choi & Hyojung Lee & Chang Hyeong Lee, 2020. "Assessment of Social Distancing for Controlling COVID-19 in Korea: An Age-Structured Modeling Approach," IJERPH, MDPI, vol. 17(20), pages 1-16, October.
    7. Rocío González-Sánchez & Sara Alonso-Muñoz & María Sonia Medina-Salgado, 2023. "Circularity in waste management: a research proposal to achieve the 2030 Agenda," Operations Management Research, Springer, vol. 16(3), pages 1520-1540, September.
    8. Mathew Azarian & Hao Yu & Asmamaw Tadege Shiferaw & Tor Kristian Stevik, 2023. "Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment," Logistics, MDPI, vol. 7(4), pages 1-32, November.
    9. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    10. Belussi, Fiorenza & Orsi, Luigi & Savarese, Maria, 2019. "Mapping Business Model Research: A Document Bibliometric Analysis," Scandinavian Journal of Management, Elsevier, vol. 35(3).
    11. Ying Lu & Walter Timo de Vries, 2021. "A Bibliometric and Visual Analysis of Rural Development Research," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    12. Ratri Parida & Manoj Kumar Dash & Anil Kumar & Edmundas Kazimieras Zavadskas & Sunil Luthra & Eyob Mulat‐weldemeskel, 2022. "Evolution of supply chain finance: A comprehensive review and proposed research directions with network clustering analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1343-1369, October.
    13. Zhen Liu & Lingfeng Ren & Chang Xiao & Ke Zhang & Peter Demian, 2022. "Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis," IJERPH, MDPI, vol. 19(3), pages 1-26, January.
    14. Chaomei Chen & Zhigang Hu & Jared Milbank & Timothy Schultz, 2013. "A visual analytic study of retracted articles in scientific literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 234-253, February.
    15. Babajide Abubakr Muritala & Maria-Victoria Sánchez-Rebull & Ana-Beatriz Hernández-Lara, 2020. "A Bibliometric Analysis of Online Reviews Research in Tourism and Hospitality," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    16. Yaowu Sun & Yi Zhai, 2018. "Mapping the knowledge domain and the theme evolution of appropriability research between 1986 and 2016: a scientometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 203-230, July.
    17. Qiong Jia & Yue Guo & Guanlin Wang & Stuart J. Barnes, 2020. "Big Data Analytics in the Fight against Major Public Health Incidents (Including COVID-19): A Conceptual Framework," IJERPH, MDPI, vol. 17(17), pages 1-21, August.
    18. Chencheng Fang & Jiantong Zhang & Wei Qiu, 2017. "Online classified advertising: a review and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1481-1511, December.
    19. Xing-Rong Guo & Xiang Li & Yi-Ming Guo, 2021. "Mapping Knowledge Domain Analysis in Smart Education Research," Sustainability, MDPI, vol. 13(23), pages 1-28, November.
    20. Xingwen Chen & Li Zhu & Chao Liu & Chunhua Chen & Jun Liu & Dongxia Huo, 2023. "Workplace Diversity in the Asia-Pacific Region: A Review of Literature and Directions for Future Research," Asia Pacific Journal of Management, Springer, vol. 40(3), pages 1021-1045, September.

    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:gam:jijerp:v:17:y:2020:i:17:p:6218-:d:404793. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.