Selected article for: "highly biased group and randomized testing"

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_28
    Snippet: We claim that statistically randomized testing can be used in a smart way, so as to keep the dynamics of the pandemics under control as per the feedback loop of Fig. 1 . We emphasize that this is possible without the current time delays of up to 14 days. The latter arises since we only observe confirmed infections stemming from a highly biased test group that eventually shows symptoms long after the initial infection has occurred......
    Document: We claim that statistically randomized testing can be used in a smart way, so as to keep the dynamics of the pandemics under control as per the feedback loop of Fig. 1 . We emphasize that this is possible without the current time delays of up to 14 days. The latter arises since we only observe confirmed infections stemming from a highly biased test group that eventually shows symptoms long after the initial infection has occurred.

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