Germany: LK Rostock (Mecklenburg-Vorpommern)¶

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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 12:34:23 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Rostock", weeks=5);
2022-06-30T12:34:34.459913 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) LK Rostock, 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 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.1 0.2 0.3 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 1.4 1.4 1.6 1.6 R & growth factor (based on cases) Germany-LK Rostock cases daily growth factor Germany-LK Rostock cases daily growth factor (rolling mean) Germany-LK Rostock 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 Rostock deaths daily growth factor Germany-LK Rostock deaths daily growth factor (rolling mean) Germany-LK Rostock estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 500 1000 cases doubling time [days] Germany-LK Rostock doubling time cases (rolling mean) 0.0 108.5 217.1 325.6 daily change Germany-LK Rostock new cases (rolling 7d mean) Germany-LK Rostock new cases 0.000 0.217 0.434 0.651 0.868 daily change Germany-LK Rostock new deaths (rolling 7d mean) Germany-LK Rostock new deaths 0.000 0.387 0.775
In [4]:
overview(country="Germany", subregion="LK Rostock");
2022-06-30T12:34:45.565943 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) 658.3 LK Rostock, 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 0 200 400 600 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 1 2 3 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 Rostock cases daily growth factor Germany-LK Rostock cases daily growth factor (rolling mean) Germany-LK Rostock 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 1 1 2 2 3 3 4 4 R & growth factor (based on deaths)