Germany: LK Cham (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 10:31:36 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Cham", weeks=5);
2022-06-30T10:31:47.694357 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 250 250 500 500 750 750 1000 1000 7-day incidence rate (per 100K people) 925.9 LK Cham, Germany, last 5 weeks, last data point from 2022-06-29 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 100 200 300 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.2 0.4 0.6 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on cases) Germany-LK Cham cases daily growth factor Germany-LK Cham cases daily growth factor (rolling mean) Germany-LK Cham estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-LK Cham deaths daily growth factor Germany-LK Cham deaths daily growth factor (rolling mean) Germany-LK Cham estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 250 500 750 1000 cases doubling time [days] Germany-LK Cham doubling time cases (rolling mean) 0.0 128.1 256.2 384.3 daily change Germany-LK Cham new cases (rolling 7d mean) Germany-LK Cham new cases 0.000 0.256 0.512 0.769 daily change Germany-LK Cham new deaths (rolling 7d mean) Germany-LK Cham new deaths 0.000 0.205 0.411 0.616 0.821
In [4]:
overview(country="Germany", subregion="LK Cham");
2022-06-30T10:32:01.024776 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 3000 3000 7-day incidence rate (per 100K people) 925.9 LK Cham, 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 0 200 400 600 800 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 6 8 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 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on cases) Germany-LK Cham cases daily growth factor Germany-LK Cham cases daily growth factor (rolling mean) Germany-LK Cham 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 1 1 2 2 3 3 4 4 R & growth factor (based on deaths)