Germany: SK Gelsenkirchen (Nordrhein-Westfalen)¶

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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: 07/03/2023 14:17:35 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="SK Gelsenkirchen", weeks=5);
2023-03-07T14:17:51.474608 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 80 80 100 100 120 120 140 140 160 160 7-day incidence rate (per 100K people) 82.7 SK Gelsenkirchen, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 10 20 30 40 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.00 0.25 0.50 0.75 1.00 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-SK Gelsenkirchen cases daily growth factor Germany-SK Gelsenkirchen cases daily growth factor (rolling mean) Germany-SK Gelsenkirchen estimated R (using cases) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 0 1 1 2 2 3 3 R & growth factor (based on deaths) Germany-SK Gelsenkirchen deaths daily growth factor Germany-SK Gelsenkirchen deaths daily growth factor (rolling mean) Germany-SK Gelsenkirchen estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 1000 2000 3000 cases doubling time [days] Germany-SK Gelsenkirchen doubling time cases (rolling mean) Germany-SK Gelsenkirchen doubling time deaths (rolling mean) 0 26 52 78 104 daily change Germany-SK Gelsenkirchen new cases (rolling 7d mean) Germany-SK Gelsenkirchen new cases 0.000 0.650 1.301 1.951 2.601 daily change Germany-SK Gelsenkirchen new deaths (rolling 7d mean) Germany-SK Gelsenkirchen new deaths 0 253 507 760 deaths doubling time [days]
In [4]:
overview(country="Germany", subregion="SK Gelsenkirchen");
2023-03-07T14:18:11.493059 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 500 500 1000 1000 1500 1500 7-day incidence rate (per 100K people) 82.7 SK Gelsenkirchen, Germany, last data point from 2023-03-06 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 100 200 300 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 1 2 3 4 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases)