What are the appropriate assessment figures for the COVID-19 outbreak?

Published by

Martin Signer activities: Managing Director, IR, test, Testing, Testing, Participant, Partner, Media partner, Media partner, Event manager, Events, Tester, Event listing, Tester, IR, IR, Test, Managing Director, IR, IR, IR, IR Partner, Partner, Employer, IR, IR, IR, IR, IR, IR, IR, IR

Apr 3, 2020

As I mentioned in this article (in German) the general news outlet reporting of COVID-19 statistics has some short-comings. 

Valuable data are available on worldometer's coronavirus cases like e.g. by underlying factors

Good illustrations/examples are also on Ourworldindata

Also, a good data source is from Johns Hopkins University.

By the end, it's though still a lot of speculation and unreliable data

The main points are:

  • Generally, only confirmed cases are reported.
  • There's no proper track of recoveries
  • Doubt regarding the reliability of the official Chinese figures regarding the infection rate/death toll. Sources like the Business Insider speculate about 15 until 40 times underreporting of the death toll.
  • This BBC article stresses the test/infection ratio of cases.

Here also an interesting video regarding visualization issues

Helpful are also simulation studies.


Articles authored by Martin Signer

Published: May 17, 2020

Published: May 12, 2020

Published: May 11, 2020

Published: May 6, 2020

Published: Apr 27, 2020

Published: Apr 26, 2020

Published: Apr 15, 2020

Published: Apr 6, 2020

Published: Mar 24, 2020

Published: Mar 18, 2020

Published: Mar 18, 2020

Published: Mar 18, 2020

Published: Mar 9, 2020

Published: Mar 6, 2020

Published: Mar 4, 2020

Published: Mar 2, 2020

Published: Feb 24, 2020

Published: Feb 18, 2020

Published: Feb 11, 2020

Published: Feb 9, 2020

Published: Jan 17, 2020

Published: Jan 7, 2020

Published: Jan 3, 2020

Published: Dec 25, 2019

Published: Dec 18, 2019

Published: Nov 26, 2019

Published: Nov 6, 2019

Published: Oct 20, 2019

Published: Oct 12, 2019

Published: Oct 11, 2019

Published: Oct 3, 2019

Published: Oct 2, 2019

Published: Oct 1, 2019

Published: Sep 29, 2019

Published: Sep 29, 2019

Published: Sep 19, 2019

Published: Sep 16, 2019

Published: Sep 14, 2019

Published: Sep 5, 2019

Published: Sep 3, 2019

Published: Aug 30, 2019

Published: Aug 29, 2019

Published: Aug 15, 2019

Published: Jul 21, 2019

Published: Jul 8, 2019

Published: Jun 29, 2019

Published: Jun 11, 2019

Published: May 22, 2019

Published: May 5, 2019

Published: Apr 21, 2019

Published: Apr 19, 2019

Published: Mar 28, 2019

Published: Mar 16, 2019

Published: Mar 16, 2019

Published: Mar 6, 2019

Published: Feb 25, 2019

Published: Feb 24, 2019

Published: Feb 7, 2019

Published: Apr 20, 2018

Published: Feb 18, 2018

Published: Feb 7, 2018