2023-01-04 | German RKI *)
raw data based number of new cases / day (reporting date), average over 7
days. Rt is 4 day interval d(today)/d(-4). Source from https://github.com/robert-koch-institut/SARS-CoV-2_Infektionen_in_Deutschland/raw/master/Aktuell_Deutschland_SarsCov2_Infektionen.csv. The raw csv data gets aggregated by a linux bash job, in your shell run ./run_statistics.sh, then press F9 to update spreadsheet and get the charts as below. I will no longer try to update this little chart daily. Joerg <reisenweber at web.de> http://reisenweber.net/et_al/covid *) Robert Koch-Institut (2021): SARS-CoV-2 Infektionen in Deutschland, Berlin: Zenodo. DOI:10.5281/zenodo.4681153. |
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last meaningful datapoint: | 44927 | Rt[4d]*: | 0,85 | 7d-avg newcases: | 21500 | 7day-average | |||||||||||||
Rt[1d]*: | 0,95 | 7d incdc. /100k7d: | 174,7 | 44930,0 | |||||||||||||||
*) Rt[4d] (coll.: R0) is based on average of reporting day vs average of 4 days ago, 4 being the serial length, the duration for one generation of infections to the next according to RKI. Rt[1d] is diff from yesterday to today ^4. These values show situation as of maybe 10 days ago! Unlike RKI the data here doesn‘t use any „NowCasting“ so any interpolation of trends is up to you ;-) |