Germany: LK Roth (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: 03/07/2022 10:52:35 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Roth", weeks=5);
2022-07-03T10:52:46.883551 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 400 400 600 600 800 800 7-day incidence rate (per 100K people) 822.5 LK Roth, Germany, last 5 weeks, last data point from 2022-07-02 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 50 100 150 200 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-LK Roth new deaths (rolling 7d mean) Germany-LK Roth new deaths 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 Roth cases daily growth factor Germany-LK Roth cases daily growth factor (rolling mean) Germany-LK Roth 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-LK Roth deaths daily growth factor Germany-LK Roth deaths daily growth factor (rolling mean) Germany-LK Roth estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 200 400 600 cases doubling time [days] Germany-LK Roth doubling time cases (rolling mean) 0.0 63.6 127.2 190.8 254.3 daily change Germany-LK Roth new cases (rolling 7d mean) Germany-LK Roth new cases 0.000 0.294 0.587 0.881
In [4]:
overview(country="Germany", subregion="LK Roth");
2022-07-03T10:52:58.784269 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) 822.5 LK Roth, Germany, last data point from 2022-07-02 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 0.0 2.5 5.0 7.5 10.0 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 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on cases) Germany-LK Roth cases daily growth factor Germany-LK Roth cases daily growth factor (rolling mean) Germany-LK Roth 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)