Germany: SK Hof (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 11:28:50 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="SK Hof", weeks=5);
2022-06-30T11:29:02.566917 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 100 100 200 200 300 300 400 400 500 500 7-day incidence rate (per 100K people) SK Hof, 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 −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change Germany-SK Hof new deaths (rolling 7d mean) Germany-SK Hof new deaths 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 1.75 1.75 R & growth factor (based on cases) Germany-SK Hof cases daily growth factor Germany-SK Hof cases daily growth factor (rolling mean) Germany-SK Hof estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 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 deaths) Germany-SK Hof deaths daily growth factor Germany-SK Hof deaths daily growth factor (rolling mean) Germany-SK Hof estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 500 1000 1500 cases doubling time [days] Germany-SK Hof doubling time cases (rolling mean) 0.00 22.59 45.17 67.76 daily change Germany-SK Hof new cases (rolling 7d mean) Germany-SK Hof new cases 0.000 0.276 0.551 0.827
In [4]:
overview(country="Germany", subregion="SK Hof");
2022-06-30T11:29:17.710356 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) 480.4 SK Hof, 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 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 5 10 15 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 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 1.75 1.75 R & growth factor (based on cases) Germany-SK Hof cases daily growth factor Germany-SK Hof cases daily growth factor (rolling mean) Germany-SK Hof estimated R (using cases) Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths) Germany-SK Hof deaths daily growth factor Germany-SK Hof deaths daily growth factor (rolling mean)