• Media type: E-Article
  • Title: Common Pitfalls in the Interpretation of COVID-19 Data and Statistics
  • Contributor: Backhaus, Andreas [Author]
  • Published: Heidelberg: Springer, 2020
  • Language: English
  • DOI: https://doi.org/10.1007/s10272-020-0893-1
  • Origination:
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  • Description: Policymakers, experts and the general public heavily rely on the data that are being reported in the context of the coronavirus pandemic. Daily data releases on confirmed COVID-19 cases and deaths provide information on the course of the pandemic.
  • Access State: Open Access
  • Rights information: Attribution (CC BY) Attribution (CC BY)