COVID-19 Case-Cluster-Study

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 – is an unfinished and unpublished study about the COVID-19 pandemic in Gangelt.

Hendrik Streeck, principal investigator

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]

References

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.
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.
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. doi:10.1111/cts.12178. ISSN 1752-8054. PMC 5439816. PMID 25043853.
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"
Schneider, Paula (2020-04-15). "Unwissenschaftlich: Statistikerin zerlegt Heinsberg-Studie, auf die sich Laschet stützt". Focus. Retrieved 2020-04-18.

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.

[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.

[faz_1-2] 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. doi:10.1111/cts.12178. 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.