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17.01.2024 07:30

Stoyan-Chiu paper: Statistical proof of COVID-19-market hypothesis false

Doris Kothe Pressestelle
Technische Universität Bergakademie Freiberg

    The well-known study by Worobey et al (2022) claims that the Huanan Seafood Wholesale Market in the Chinese city of Wuhan is the only possible place of origin of the COVID-19 pandemic. 

    A careful analysis of the evidence has now revealed that the statistical part of the Worobey study is blatantly wrong. This is shown in a new carefully peer-reviewed study published in the Journal of the Royal Statistical Society Series A on 16 January 2024. The authors are Professor Dietrich Stoyan from TU Bergakademie Freiberg and Professor Sung Nok Chiu from Hong Kong Baptist University.

    Where did the coronavirus first emerge to infect the entire globe as a pandemic? A study by 17 authors led by Canadian scientist Michael Worobey came up with a clear answer in 2022: it was the Huanan Seafood Wholesale Market in the Chinese city of Wuhan, which is the only possible place of origin of the COVID-19 pandemic. This study was published in the journal Science. And much like the coronavirus, this thesis travelled around the world, not only through the scientific community but also through the mass media. A careful analysis of the evidence has now revealed that the statistical part of the Worobey study is blatantly false. This is shown by a new carefully peer-reviewed study published on 16 January 2024 in the Journal of the Royal Statistical Society Series A.

    Dietrich Stoyan from TU Bergakademie Freiberg and his Chinese colleague Sung Nok Chiu from Hong Kong Baptist University analysed the work of Worobey et al with regard to the statistical method used. Their verdict is clear: the statistics do not prove that the market in Wuhan was the early epicentre of the COVID-19 pandemic. The main statistical test used is nonsensical, according to Stoyan, and there are other flaws in the statistical reasoning.

    Stoyan and Chiu used the same geostatistical data as Worobey et al. These are the residential addresses of the first 155 coronavirus cases. These addresses were entered as points on a map. In the Science article, this dot pattern is compared with dot patterns generated by simulation and significant differences are found. However, since these artificial dot patterns are incorrectly chosen, the test used must always reject the hypothesis that a location other than the market is the epicentre. In other words: Worobey et al have excluded locations other than the Huanan Seafood Wholesale Market from the outset. However, other locations in the vicinity of the market could also be possible candidates: a large railway station and a huge shopping complex with hotels and restaurants. "Worobey's study has not proven where the epicentre of the global coronavirus pandemic was located. Research on this question is still in its infancy," explains Stoyan.

    Dietrich Stoyan; Sung Nok Chiu (2024). Statistics did not prove that the Huanan Seafood Wholesale Market was the early epicentre of the COVID-19 pandemic. Journal of the Royal Statistical Society Series A: Statistics in Society, qnad139, https://doi.org/10.1093/jrsssa/qnad139

    Further cited:

    Worobey et al (2022). The Huanan seafood wholesale market in Wuhan was the early epicentre of the COVID-19 pandemic. Science 377(6009), 951-959.


    Wissenschaftliche Ansprechpartner:

    Professor Dr. Dietrich Stoyan: Institut für Stochastik, TU Bergakademie Freiberg. Dort Rektor von 1991 – 1997.
    Professor Dr. Sung Nok Chiu: Department of Mathematics, Hong Kong Baptist University, Kowloon Tong, Hong Kong.


    Originalpublikation:

    Dietrich Stoyan; Sung Nok Chiu (2024). Statistics did not prove that the Huanan Seafood Wholesale Market was the early epicenter of the COVID-19 pandemic. Journal of the Royal Statistical Society Series A: Statistics in Society, qnad139, https://doi.org/10.1093/jrsssa/qnad139

    Worobey et al (2022). The Huanan seafood wholesale market in Wuhan was the early epicenter of the COVID-19 pandemic. Science 377(6009), 951-959.


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