Germany: LK Augsburg (Bayern)¶

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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: 30/06/2022 10:31:56 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Augsburg", weeks=5);
2022-06-30T10:32:06.848604 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 200 200 300 300 400 400 500 500 7-day incidence rate (per 100K people) 450.2 LK Augsburg, Germany, last 5 weeks, last data point from 2022-06-29 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 50 100 150 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.1 0.2 0.3 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on cases) Germany-LK Augsburg cases daily growth factor Germany-LK Augsburg cases daily growth factor (rolling mean) Germany-LK Augsburg estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.0 0.5 0.5 1.0 1.0 R & growth factor (based on deaths) Germany-LK Augsburg deaths daily growth factor Germany-LK Augsburg deaths daily growth factor (rolling mean) Germany-LK Augsburg estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 500 1000 cases doubling time [days] Germany-LK Augsburg doubling time cases (rolling mean) 0.0 127.9 255.9 383.8 daily change Germany-LK Augsburg new cases (rolling 7d mean) Germany-LK Augsburg new cases 0.000 0.256 0.512 0.768 daily change Germany-LK Augsburg new deaths (rolling 7d mean) Germany-LK Augsburg new deaths 0.000 0.366 0.731
In [4]:
overview(country="Germany", subregion="LK Augsburg");
2022-06-30T10:32:20.458687 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 1000 1000 2000 2000 7-day incidence rate (per 100K people) 450.2 LK Augsburg, Germany, last data point from 2022-06-29 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 100 200 300 400 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 2 4 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 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on cases) Germany-LK Augsburg cases daily growth factor Germany-LK Augsburg cases daily growth factor (rolling mean) Germany-LK Augsburg 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 0.5 0.5 1.0 1.0 R & growth factor (based on deaths)