Germany: LK Paderborn (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: 08/08/2022 13:27:08 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Paderborn", weeks=5);
2022-08-08T13:27:18.422558 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 500 500 600 600 700 700 7-day incidence rate (per 100K people) 515.3 LK Paderborn, Germany, last 5 weeks, last data point from 2022-08-07 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 0 50 100 150 daily change normalised per 100K 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 0.0 0.1 0.2 0.3 daily change normalised per 100K 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on cases) Germany-LK Paderborn cases daily growth factor Germany-LK Paderborn cases daily growth factor (rolling mean) Germany-LK Paderborn estimated R (using cases) 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 0 0 2 2 4 4 6 6 8 8 R & growth factor (based on deaths) Germany-LK Paderborn deaths daily growth factor Germany-LK Paderborn deaths daily growth factor (rolling mean) Germany-LK Paderborn estimated R (using deaths) 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 0 200 400 cases doubling time [days] Germany-LK Paderborn doubling time cases (rolling mean) 0.0 154.2 308.3 462.5 daily change Germany-LK Paderborn new cases (rolling 7d mean) Germany-LK Paderborn new cases 0.000 0.308 0.617 0.925 daily change Germany-LK Paderborn new deaths (rolling 7d mean) Germany-LK Paderborn new deaths 0.000 0.373 0.747
In [4]:
overview(country="Germany", subregion="LK Paderborn");
2022-08-08T13:27:31.226153 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 0 500 500 1000 1000 1500 1500 7-day incidence rate (per 100K people) 515.3 LK Paderborn, Germany, last data point from 2022-08-07 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 200 400 daily change normalised per 100K Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.0 0.5 1.0 1.5 daily change normalised per 100K Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on cases) Germany-LK Paderborn cases daily growth factor Germany-LK Paderborn cases daily growth factor (rolling mean) Germany-LK Paderborn estimated R (using cases) Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.0 0.0 2.5 2.5 5.0 5.0 7.5 7.5 10.0 10.0 R & growth factor (based on deaths)