Selected article for: "current pandemic and decision making"

Author: Langousis, Andreas; Carsteanu, Alin Andrei
Title: Undersampling in action and at scale: application to the COVID-19 pandemic
  • Cord-id: tl3hskew
  • Document date: 2020_6_2
  • ID: tl3hskew
    Snippet: It is the purpose of this short communication to analyze the possible caveats in the statistical interpretation of collected data, particularly in the light of decision-making concerning the current COVID-19 coronavirus pandemic. A mitigation of undersampling is proposed, based on re-scaling of statistics that can be considered reliable, such as deaths, and epidemic properties like mortality, that may be considered comparable between countries with similar levels of health care, which would not
    Document: It is the purpose of this short communication to analyze the possible caveats in the statistical interpretation of collected data, particularly in the light of decision-making concerning the current COVID-19 coronavirus pandemic. A mitigation of undersampling is proposed, based on re-scaling of statistics that can be considered reliable, such as deaths, and epidemic properties like mortality, that may be considered comparable between countries with similar levels of health care, which would not have reached a saturation level.

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