tetano
Editor, Senior Moderator
J Travel Med
. 2020 May 28;taaa084.
doi: 10.1093/jtm/taaa084. Online ahead of print.
Detecting Early Signals of COVID-19 Global Pandemic From Network Density
Amanda M Y Chu[SUP] 1 [/SUP], Agnes Tiwari[SUP] 2 [/SUP], Mike K P So[SUP] 3 [/SUP]
Affiliations
Abstract
A novel use of network analysis in public health Developing a quantitative assessment method for the COVID-19 pandemic risk Exploring the time series of network density for early warning signals of pandemic risk Tracking the evolution of pandemic risk through the degree of connectedness.
Keywords: Connectedness; coronavirus; disaster preparedness; epidemic risk management; healthcare analytics; population movement; time series.
. 2020 May 28;taaa084.
doi: 10.1093/jtm/taaa084. Online ahead of print.
Detecting Early Signals of COVID-19 Global Pandemic From Network Density
Amanda M Y Chu[SUP] 1 [/SUP], Agnes Tiwari[SUP] 2 [/SUP], Mike K P So[SUP] 3 [/SUP]
Affiliations
- PMID: 32463088
- DOI: 10.1093/jtm/taaa084
Abstract
A novel use of network analysis in public health Developing a quantitative assessment method for the COVID-19 pandemic risk Exploring the time series of network density for early warning signals of pandemic risk Tracking the evolution of pandemic risk through the degree of connectedness.
Keywords: Connectedness; coronavirus; disaster preparedness; epidemic risk management; healthcare analytics; population movement; time series.