International Journal of Infectious Diseases (Jul 2020)

Visualizing COVID-19 pandemic risk through network connectedness

  • Mike K.P. So,
  • Agnes Tiwari,
  • Amanda M.Y. Chu,
  • Jenny T.Y. Tsang,
  • Jacky N.L. Chan

Journal volume & issue
Vol. 96
pp. 558 – 561

Abstract

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With the domestic and international spread of the coronavirus disease 2019 (COVID-19), much attention has been given to estimating pandemic risk. We propose the novel application of a well-established scientific approach – the network analysis – to provide a direct visualization of the COVID-19 pandemic risk; infographics are provided in the figures. 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.

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