United Kingdom¶

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  • Plots are explained at http://oscovida.github.io/plots.html
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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 09:43:15 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("United Kingdom", weeks=5);
2022-07-03T09:43:18.772842 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 50 50 100 100 150 150 200 200 7-day incidence rate (per 100K people) United Kingdom, last 5 weeks, last data point from 2022-07-02 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 20 40 60 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.00 0.05 0.10 0.15 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) United Kingdom cases daily growth factor United Kingdom cases daily growth factor (rolling mean) United Kingdom estimated R (using cases) 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 deaths) United Kingdom deaths daily growth factor United Kingdom deaths daily growth factor (rolling mean) United Kingdom estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 2000 4000 6000 cases doubling time [days] United Kingdom doubling time cases (rolling mean) United Kingdom doubling time deaths (rolling mean) 0 13577 27154 40732 daily change United Kingdom new cases (rolling 7d mean) United Kingdom new cases 0.0 33.9 67.9 101.8 daily change United Kingdom new deaths (rolling 7d mean) United Kingdom new deaths 0 2000 4000 6000 deaths doubling time [days]
In [4]:
overview("United Kingdom");
2022-07-03T09:43:24.163195 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 0 500 500 1000 1000 1500 1500 2000 2000 7-day incidence rate (per 100K people) 227.7 United Kingdom, 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 0 250 500 750 1000 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 4 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 1.4 1.4 1.6 1.6 R & growth factor (based on cases) United Kingdom cases daily growth factor United Kingdom cases daily growth factor (rolling mean) United Kingdom 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 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on deaths)