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_5
Snippet: German COVID-19 Infection data have been obtained from the Robert-Koch Institut (RKI) provided via the national platform for geographical data (NPGEO Corona Hub 2020: https://npgeo-corona-npgeo-de. hub.arcgis.com). In particular, data are available in terms of daily reported infections separately for each of the 402 existing administrative districts (ADs), which are nested within 16 federal states (Fig. 1) . As a start of the time series we have .....
Document: German COVID-19 Infection data have been obtained from the Robert-Koch Institut (RKI) provided via the national platform for geographical data (NPGEO Corona Hub 2020: https://npgeo-corona-npgeo-de. hub.arcgis.com). In particular, data are available in terms of daily reported infections separately for each of the 402 existing administrative districts (ADs), which are nested within 16 federal states (Fig. 1) . As a start of the time series we have set February the 22th (2020), which was just before the beginning of the pandemic in Germany. The time series considered in this work ends at April 13th (2020).
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