COVID-19 Case-Cluster-Study

From a home for articles deleted from Wikipedia
Jump to: navigation, search
This article was considered for deletion at Wikipedia on April 18 2020. This is a backup of Wikipedia:COVID-19_Case-Cluster-Study. All of its AfDs can be found at Wikipedia:Special:PrefixIndex/Wikipedia:Articles_for_deletion/COVID-19_Case-Cluster-Study, the first at Wikipedia:Wikipedia:Articles_for_deletion/COVID-19_Case-Cluster-Study. Purge

Template:Expand language

Hendrik Streeck, principal investigator

The so-called COVID-19 Case-Cluster-Study – colloquially, Heinsberg study, marketed as Heinsbergprotokoll and HEINSBERG PROTOKOLL. – is an unfinished and unpublished study about the COVID-19 pandemic in Gangelt.

The study was commissioned and is co-financed by the government of Northrhine-Westfalia and is led by Hendrik Streeck. In the public sphere, the marketing agency StoryMachine advocates its results on Facebook and Twitter. Private enterprises also co-financed the study. First results of the study garnered cross-national media attention.[1]

The study aims to determine lethality of, and immunity to SARS-CoV-2; it also estimates the number of unrecorded cases.[2]

Despite the fact that sample size does not determine the representativeness of a study,[3] principle investigator Streeck claims, they examined more persons than recommonended by the World Health Organization, the study would "thus be statistically absolutely representative".[4][5]


  1. Sydney, Philip Oltermann Helen Davidson in; Orleans, Oliver Laughland in New; Bangkok, Rebecca Ratcliffe in; Paris, Joanna Walters in New York Kim Willsher in; Palermo, Lorenzo Tondo in (2020-04-09). "The cluster effect: how social gatherings were rocket fuel for coronavirus". The Guardian. ISSN 0261-3077. Retrieved 2020-04-15. 
  2. Burger, Reiner (2020-03-27). "Ergebnisse ab nächster Woche: Am Beispiel von Heinsberg die Pandemie verstehen". Frankfurter Allgemeine Zeitung. ISSN 0174-4909. Retrieved 2020-04-16. 
  3. Kaplan, Robert M.; Chambers, David A.; Glasgow, Russell E. (August 2014). "Big Data and Large Sample Size: A Cautionary Note on the Potential for Bias". Clinical and Translational Science 7 (4): 342–346. Template:Citation error. ISSN 1752-8054. PMC 5439816. PMID 25043853. // 
  4. Streeck, Hendrik; Jauch, Matthias (2020-04-12). "Die Veröffentlichung zu Heinsberg war nicht leichtfertig" (Tagesspiegel). Retrieved 2020-04-16.  original text: "also statistisch absolut repräsentativ"
  5. Schneider, Paula (2020-04-15). "Unwissenschaftlich: Statistikerin zerlegt Heinsberg-Studie, auf die sich Laschet stützt". Focus. Retrieved 2020-04-18. 


de:COVID-19 Case-Cluster-Study