Science Advances

Supplementary Materials

An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time

Nicole E. Kogan, Leonardo Clemente, Parker Liautaud, Justin Kaashoek, Nicholas B. Link, Andre T. Nguyen, Fred S. Lu, Peter Huybers, Bernd Resch, Clemens Havas, Andreas Petutschnig, Jessica Davis, Matteo Chinazzi, Backtosch Mustafa, William P. Hanage, Alessandro Vespignani, Mauricio Santillana

Download Supplement

This PDF file includes:

  • Time evolution for the COVID-19 proxies for each state
  • Detection of exponential growth and decay in each state
  • Early warning system visualization
  • Comparing COVID-19 activity datasets
  • Lagged correlation analysis
  • Figs. S1 to S77
  • Table S1

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