Selected article for: "current data and growth rate"

Author: Markus Mueller; Peter Derlet; Christopher Mudry; Gabriel Aeppli
Title: Using random testing to manage a safe exit from the COVID-19 lockdown
  • Document date: 2020_4_14
  • ID: loi1vs5y_155
    Snippet: We have argued that the minimal testing rate r min (16) is sufficient to obtain statistical information on the growth rate k as applied to Switzerland as a whole. This assumes tacitly that the simple growth equation (5) describes the dynamics of infections in the whole country well. That this is not necessarily a good description can be conjectured from recent data on the current rates with which numbers of confirmed infections in the various can.....
    Document: We have argued that the minimal testing rate r min (16) is sufficient to obtain statistical information on the growth rate k as applied to Switzerland as a whole. This assumes tacitly that the simple growth equation (5) describes the dynamics of infections in the whole country well. That this is not necessarily a good description can be conjectured from recent data on the current rates with which numbers of confirmed infections in the various cantons (states of Switzerland) evolve. These data indeed show a very significant spread by nearly a factor of four suggesting that a spatially resolved approach is preferable, if possible.

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