Germany: LK Freising (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 10:30:12 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Freising", weeks=5);
2022-07-03T10:30:21.834820 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 300 300 400 400 500 500 600 600 700 700 7-day incidence rate (per 100K people) 580.1 LK Freising, Germany, last 5 weeks, last data point from 2022-07-02 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 50 100 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.2 0.4 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 R & growth factor (based on cases) Germany-LK Freising cases daily growth factor Germany-LK Freising cases daily growth factor (rolling mean) Germany-LK Freising estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-LK Freising deaths daily growth factor Germany-LK Freising deaths daily growth factor (rolling mean) Germany-LK Freising 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 Freising doubling time cases (rolling mean) 0.0 90.2 180.3 daily change Germany-LK Freising new cases (rolling 7d mean) Germany-LK Freising new cases 0.000 0.361 0.721 daily change Germany-LK Freising new deaths (rolling 7d mean) Germany-LK Freising new deaths 0.000 0.218 0.437 0.655 0.874
In [4]:
overview(country="Germany", subregion="LK Freising");
2022-07-03T10:30:36.329279 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ Jan 20 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) 580.1 LK Freising, Germany, last data point from 2022-07-02 Jan 20 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 Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 1 2 3 daily change normalised per 100K Jan 20 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 R & growth factor (based on cases) Germany-LK Freising cases daily growth factor Germany-LK Freising cases daily growth factor (rolling mean) Germany-LK Freising estimated R (using cases) Jan 20 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)