Selected article for: "lockdown scenario and log linear"

Author: Antonio Scala; Andrea Flori; Alessandro Spelta; Emanuele Brugnoli; Matteo Cinelli; Walter Quattrociocchi; Fabio Pammolli
Title: Between Geography and Demography: Key Interdependencies and Exit Mechanisms for Covid-19
  • Document date: 2020_4_14
  • ID: bf098qcr_76
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . Fig. 9 . Upper panel: variation of the behavior of the model for lockdown strengths α < α crit = 1/R 0 . Notice that the height of the peaks after the lockdown is released is almost unchanged if compared with the no lockdown scenario. Lockdown time is fixed at t Lock = 15 and is fully lifted when the peak has fallen by 30%. Lower panel: for better clarity, the plot is.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . Fig. 9 . Upper panel: variation of the behavior of the model for lockdown strengths α < α crit = 1/R 0 . Notice that the height of the peaks after the lockdown is released is almost unchanged if compared with the no lockdown scenario. Lockdown time is fixed at t Lock = 15 and is fully lifted when the peak has fallen by 30%. Lower panel: for better clarity, the plot is also reported in log-linear scale.

    Search related documents:
    Co phrase search for related documents
    • lockdown time and peak height: 1, 2, 3