Germany: SK Ulm (Baden-Württemberg)¶

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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: 08/08/2022 10:27:31 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="SK Ulm", weeks=5);
2022-08-08T10:27:42.147820 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 400 400 600 600 800 800 1000 1000 1200 1200 7-day incidence rate (per 100K people) 413.0 SK Ulm, Germany, last 5 weeks, last data point from 2022-08-07 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 0 100 200 300 daily change normalised per 100K 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 0.0 0.2 0.4 0.6 daily change normalised per 100K 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-SK Ulm cases daily growth factor Germany-SK Ulm cases daily growth factor (rolling mean) Germany-SK Ulm estimated R (using cases) 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-SK Ulm deaths daily growth factor Germany-SK Ulm deaths daily growth factor (rolling mean) Germany-SK Ulm estimated R (using deaths) 04 Jul 11 Jul 18 Jul 25 Jul 01 Aug 08 Aug 0 200 400 600 cases doubling time [days] Germany-SK Ulm doubling time cases (rolling mean) 0.0 126.4 252.8 379.2 daily change Germany-SK Ulm new cases (rolling 7d mean) Germany-SK Ulm new cases 0.000 0.253 0.506 0.758 daily change Germany-SK Ulm new deaths (rolling 7d mean) Germany-SK Ulm new deaths 0.000 0.285 0.571 0.856
In [4]:
overview(country="Germany", subregion="SK Ulm");
2022-08-08T10:27:53.618865 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) 413.0 SK Ulm, 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 2.0 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 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-SK Ulm cases daily growth factor Germany-SK Ulm cases daily growth factor (rolling mean) Germany-SK Ulm 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)