Germany: LK Barnim (Brandenburg)¶

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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: 05/07/2022 12:02:55 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Barnim", weeks=5);
2022-07-05T12:03:05.489376 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 100 100 200 200 300 300 7-day incidence rate (per 100K people) 227.4 LK Barnim, Germany, last 5 weeks, last data point from 2022-07-04 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 25 50 75 100 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.000 0.000 0.005 0.005 0.010 0.010 0.015 0.015 daily change Germany-LK Barnim new deaths (rolling 7d mean) Germany-LK Barnim new deaths 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on cases) Germany-LK Barnim cases daily growth factor Germany-LK Barnim cases daily growth factor (rolling mean) Germany-LK Barnim estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 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-LK Barnim deaths daily growth factor Germany-LK Barnim deaths daily growth factor (rolling mean) Germany-LK Barnim estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 500 1000 1500 cases doubling time [days] Germany-LK Barnim doubling time cases (rolling mean) 0.0 46.8 93.7 140.5 187.3 daily change Germany-LK Barnim new cases (rolling 7d mean) Germany-LK Barnim new cases 0.000 0.267 0.534 0.801
In [4]:
overview(country="Germany", subregion="LK Barnim");
2022-07-05T12:03:19.119149 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) 227.4 LK Barnim, Germany, last data point from 2022-07-04 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 1 2 3 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 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on cases) Germany-LK Barnim cases daily growth factor Germany-LK Barnim cases daily growth factor (rolling mean) Germany-LK Barnim 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)