Int J Infect Dis Visualising COVID-19 Pandemic Risk Through Network Connectedness

[tetano]

Int J Infect Dis


. 2020 May 8;S1201-9712(20)30317-9.
doi: 10.1016/j.ijid.2020.05.011. Online ahead of print.
Visualising COVID-19 Pandemic Risk Through Network Connectedness


Mike K P So[SUP] 1 [/SUP], Agnes Tiwari[SUP] 2 [/SUP], Amanda M Y Chu[SUP] 3 [/SUP], Jenny T Y Tsang[SUP] 3 [/SUP], Jacky N L Chan[SUP] 4 [/SUP]



Affiliations

• PMID: 32437929
• DOI: 10.1016/j.ijid.2020.05.011

Abstract

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.

Keywords: coronavirus; infographics; pandemic network; pandemic preparedness; risk assessment; visualisation.