South Africa¶

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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 09:31:08 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("South Africa", weeks=5);
2023-01-26T09:31:12.117531 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 2 2 3 3 4 4 7-day incidence rate (per 100K people) 3.1 South Africa, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.5 1.0 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.00 0.01 0.02 0.03 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 R & growth factor (based on cases) South Africa cases daily growth factor South Africa cases daily growth factor (rolling mean) South Africa estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) South Africa deaths daily growth factor South Africa deaths daily growth factor (rolling mean) South Africa estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 10000 20000 30000 cases doubling time [days] South Africa doubling time cases (rolling mean) South Africa doubling time deaths (rolling mean) 0.0 296.5 593.1 daily change South Africa new cases (rolling 7d mean) South Africa new cases 0.00 5.93 11.86 17.79 daily change South Africa new deaths (rolling 7d mean) South Africa new deaths 0 10575 21150 31725 deaths doubling time [days]
In [4]:
overview("South Africa");
2023-01-26T09:31:20.123524 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 0 100 100 200 200 7-day incidence rate (per 100K people) 3.1 South Africa, 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 20 40 60 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 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 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 R & growth factor (based on cases) South Africa cases daily growth factor South Africa cases daily growth factor (rolling mean) South Africa estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 1