Germany: LK Prignitz (Brandenburg)¶

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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: 26/01/2023 12:20:48 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Prignitz", weeks=5);
2023-01-26T12:21:04.706514 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 100 100 200 200 300 300 7-day incidence rate (per 100K people) 30.4 LK Prignitz, Germany, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 25 50 75 100 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change Germany-LK Prignitz new deaths (rolling 7d mean) Germany-LK Prignitz new deaths 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-LK Prignitz cases daily growth factor Germany-LK Prignitz cases daily growth factor (rolling mean) Germany-LK Prignitz estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 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 Prignitz deaths daily growth factor Germany-LK Prignitz deaths daily growth factor (rolling mean) Germany-LK Prignitz estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 5000 10000 cases doubling time [days] Germany-LK Prignitz doubling time cases (rolling mean) 0.00 18.89 37.79 56.68 75.57 daily change Germany-LK Prignitz new cases (rolling 7d mean) Germany-LK Prignitz new cases 0.000 0.338 0.675
In [4]:
overview(country="Germany", subregion="LK Prignitz");
2023-01-26T12:21:24.962622 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 1000 1000 2000 2000 7-day incidence rate (per 100K people) 30.4 LK Prignitz, Germany, last data point from 2023-01-25 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 200 400 600 800 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 5 10 15 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-LK Prignitz cases daily growth factor Germany-LK Prignitz cases daily growth factor (rolling mean) Germany-LK Prignitz estimated R (using cases) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 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)