Germany: LK Rhein-Erft-Kreis (Nordrhein-Westfalen)¶

  • Homepage of project: https://oscovida.github.io
  • Plots are explained at http://oscovida.github.io/plots.html
  • Execute this Jupyter Notebook using myBinder
In [1]:
import datetime
import time

start = datetime.datetime.now()
print(f"Notebook executed on: {start.strftime('%d/%m/%Y %H:%M:%S%Z')} {time.tzname[time.daylight]}")
Notebook executed on: 26/01/2023 14:07:45 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Rhein-Erft-Kreis", weeks=5);
2023-01-26T14:07:59.452155 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 200 200 300 300 400 400 500 500 7-day incidence rate (per 100K people) 126.9 LK Rhein-Erft-Kreis, Germany, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 20 40 60 80 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.2 0.4 0.6 0.8 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-LK Rhein-Erft-Kreis cases daily growth factor Germany-LK Rhein-Erft-Kreis cases daily growth factor (rolling mean) Germany-LK Rhein-Erft-Kreis estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.0 0.5 0.5 1.0 1.0 R & growth factor (based on deaths) Germany-LK Rhein-Erft-Kreis deaths daily growth factor Germany-LK Rhein-Erft-Kreis deaths daily growth factor (rolling mean) Germany-LK Rhein-Erft-Kreis estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 1000 2000 cases doubling time [days] Germany-LK Rhein-Erft-Kreis doubling time cases (rolling mean) Germany-LK Rhein-Erft-Kreis doubling time deaths (rolling mean) 0.0 94.4 188.8 283.1 377.5 daily change Germany-LK Rhein-Erft-Kreis new cases (rolling 7d mean) Germany-LK Rhein-Erft-Kreis new cases 0.000 0.944 1.888 2.831 3.775 daily change Germany-LK Rhein-Erft-Kreis new deaths (rolling 7d mean) Germany-LK Rhein-Erft-Kreis new deaths 0.0 179.9 359.7 deaths doubling time [days]
In [4]:
overview(country="Germany", subregion="LK Rhein-Erft-Kreis");
2023-01-26T14:08:18.056160 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 1000 1000 2000 2000 7-day incidence rate (per 100K people) 126.9 LK Rhein-Erft-Kreis, Germany, last data point from 2023-01-25 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 100 200 300 400 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 1 2 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-LK Rhein-Erft-Kreis cases daily growth factor Germany-LK Rhein-Erft-Kreis cases daily growth factor (rolling mean) Germany-LK Rhein-Erft-Kreis estimated R (using cases) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.0 0.0