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_7
Snippet: In order to quantify the AD-related recent change in infection rates, we applied three different partially related methods separately to infection rate time series of each sub-region leading to three different measures (β 1 , β 2 , and β 3 ). Their derivation is detailed in the following......
Document: In order to quantify the AD-related recent change in infection rates, we applied three different partially related methods separately to infection rate time series of each sub-region leading to three different measures (β 1 , β 2 , and β 3 ). Their derivation is detailed in the following.
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