Germany: SK Landshut (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 11:15:38 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="SK Landshut", weeks=5);
2022-07-03T11:15:48.876961 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 200 200 300 300 400 400 500 500 600 600 7-day incidence rate (per 100K people) SK Landshut, 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 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.5 1.0 daily change normalised per 100K 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-SK Landshut cases daily growth factor Germany-SK Landshut cases daily growth factor (rolling mean) Germany-SK Landshut estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.0 0.5 0.5 1.0 1.0 R & growth factor (based on deaths) Germany-SK Landshut deaths daily growth factor Germany-SK Landshut deaths daily growth factor (rolling mean) Germany-SK Landshut estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 500 1000 cases doubling time [days] Germany-SK Landshut doubling time cases (rolling mean) 0.0 36.5 73.1 109.6 daily change Germany-SK Landshut new cases (rolling 7d mean) Germany-SK Landshut new cases 0.000 0.365 0.731 daily change Germany-SK Landshut new deaths (rolling 7d mean) Germany-SK Landshut new deaths 0.000 0.378 0.755
In [4]:
overview(country="Germany", subregion="SK Landshut");
2022-07-03T11:15:59.955083 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) 588.5 SK Landshut, 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 5 10 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-SK Landshut cases daily growth factor Germany-SK Landshut cases daily growth factor (rolling mean) Germany-SK Landshut 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 0.0 0.5 0.5 1.0 1.0 R & growth factor (based on deaths)