Germany: LK Kusel (Rheinland-Pfalz)¶

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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 14:08:08 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Kusel", weeks=5);
2022-06-30T14:08:19.815645 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 200 200 400 400 600 600 7-day incidence rate (per 100K people) 580.6 LK Kusel, Germany, last 5 weeks, last data point from 2022-06-29 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 50 100 150 200 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 Kusel new deaths (rolling 7d mean) Germany-LK Kusel 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 1.6 1.6 R & growth factor (based on cases) Germany-LK Kusel cases daily growth factor Germany-LK Kusel cases daily growth factor (rolling mean) Germany-LK Kusel 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 Kusel deaths daily growth factor Germany-LK Kusel deaths daily growth factor (rolling mean) Germany-LK Kusel estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 200 400 600 800 cases doubling time [days] Germany-LK Kusel doubling time cases (rolling mean) 0.0 35.1 70.1 105.2 140.2 daily change Germany-LK Kusel new cases (rolling 7d mean) Germany-LK Kusel new cases 0.000 0.232 0.464 0.697 0.929
In [4]:
overview(country="Germany", subregion="LK Kusel");
2022-06-30T14:08:31.710729 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) 580.6 LK Kusel, 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 0 250 500 750 1000 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 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 1.6 1.6 R & growth factor (based on cases) Germany-LK Kusel cases daily growth factor Germany-LK Kusel cases daily growth factor (rolling mean) Germany-LK Kusel 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-LK Kusel deaths daily growth factor Germany-LK Kusel deaths daily growth factor (rolling mean) Germany-LK Kusel estimated R (using deaths) Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 1000 2000 cases doubling time [days]