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: 26/01/2023 09:32:37 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("United Kingdom", weeks=5);
2023-01-26T09:32:41.094945 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 25 25 50 50 75 75 100 100 7-day incidence rate (per 100K people) 23.6 United Kingdom, 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 0.00 0.05 0.10 0.15 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 2 2 4 4 6 6 8 8 10 10 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) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan −30 −30 −20 −20 −10 −10 0 0 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) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.5 1.0 1.5 cases doubling time [days] 1e6 United Kingdom doubling time cases (rolling mean) United Kingdom doubling time deaths (rolling mean) 0 16972 33943 50915 67886 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 64046 128093 192139 deaths doubling time [days]
In [4]:
overview("United Kingdom");
2023-01-26T09:32:48.689214 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ Jan 20 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 2000 2000 7-day incidence rate (per 100K people) 23.6 United Kingdom, last data point from 2023-01-25 Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 250 500 750 1000 daily change normalised per 100K Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.0 0.5 1.0 1.5 2.0 daily change normalised per 100K Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 2 2 4 4 6 6 8 8 10 10 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 May 20 Sep 20