Eswatini¶

  • Homepage of project: https://oscovida.github.io
  • 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 09:39:53 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Eswatini", weeks=5);
2022-07-03T09:39:56.730221 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 5 5 10 10 15 15 20 20 25 25 7-day incidence rate (per 100K people) 5.3 Eswatini, last 5 weeks, last data point from 2022-07-02 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 2 4 6 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 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Eswatini cases daily growth factor Eswatini cases daily growth factor (rolling mean) Eswatini estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.0 2.5 2.5 5.0 5.0 7.5 7.5 10.0 10.0 R & growth factor (based on deaths) Eswatini deaths daily growth factor Eswatini deaths daily growth factor (rolling mean) Eswatini estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 2500 5000 7500 10000 cases doubling time [days] Eswatini doubling time cases (rolling mean) Eswatini doubling time deaths (rolling mean) 0.00 23.20 46.41 69.61 daily change Eswatini new cases (rolling 7d mean) Eswatini new cases 0.00 0.58 1.16 1.74 daily change Eswatini new deaths (rolling 7d mean) Eswatini new deaths 0 304 609 913 1217 deaths doubling time [days]
In [4]:
overview("Eswatini");
2022-07-03T09:40:01.926849 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 0 200 200 400 400 600 600 7-day incidence rate (per 100K people) 5.3 Eswatini, 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 50 100 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 0.0 0.5 1.0 1.5 2.0 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 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Eswatini cases daily growth factor Eswatini cases daily growth factor (rolling mean) Eswatini 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 0.0 0.0 2.5 2.5 5.0 5.0 7.5 7.5 10.0 10.0 R & growth factor (based on deaths)