Author: Moritz Mercker; Uwe Betzin; Dennis Wilken
Title: What influences COVID-19 infection rates: A statistical approach to identify promising factors applied to infection data from Germany Document date: 2020_4_17
ID: 09nvausz_13
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.14.20064501 doi: medRxiv preprint Thus, in summary, three different (partially related) measures have been constructed to characterise the recent infection rate, namely β 1 and β 3 (where a negative value indicates a recent decay) as well as β 2 (where values smaller than 1 indicate a decay)......
Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.14.20064501 doi: medRxiv preprint Thus, in summary, three different (partially related) measures have been constructed to characterise the recent infection rate, namely β 1 and β 3 (where a negative value indicates a recent decay) as well as β 2 (where values smaller than 1 indicate a decay).
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