Visualizing COVID-19 pandemic risk through network connectedness

Mike K.P. SO, Agnes TIWARI, Man Ying Amanda CHU, Tsun Yee TSANG, Jacky N.L. CHAN

Research output: Contribution to journalArticlespeer-review

58 Citations (Scopus)


With the domestic and international spread of the COVID-19, much attention has been given to estimating pandemic risk. We propose the use of a novel application of a well-established scientific approach, network analysis, to provide a direct visualisation (the infographics in Figures 1 and 2) of the COVID-19 pandemic risk. By showing visually the degree of connectedness between different regions based on reported confirmed cases of COVID-19, we demonstrate that network analysis provides a relatively simple yet powerful way to estimate the pandemic risk. Copyright © 2020 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
Original languageEnglish
Pages (from-to)558-561
JournalInternational Journal of Infectious Diseases
Early online dateMay 2020
Publication statusPublished - Jul 2020


So, M. K. P., Tiwari, A., Chu, A. M. Y., Tsang, J. T. Y., & Chan, J. N. L. (2020). Visualizing COVID-19 pandemic risk through network connectedness. International Journal of Infectious Diseases, 96, 558-561. doi: 10.1016/j.ijid.2020.05.011


  • Coronavirus
  • Infographics
  • Pandemic network
  • Pandemic preparedness
  • Risk assessment
  • Visualisation


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