Australia¶

  • 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 09:38:29 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Australia", weeks=5);
2022-07-03T09:38:32.812758 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 700 700 800 800 900 900 1000 1000 7-day incidence rate (per 100K people) 883.0 Australia, last 5 weeks, last data point from 2022-07-02 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 50 100 150 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.1 0.2 0.3 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 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 cases) Australia cases daily growth factor Australia cases daily growth factor (rolling mean) Australia estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 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) Australia deaths daily growth factor Australia deaths daily growth factor (rolling mean) Australia estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 100 200 300 cases doubling time [days] Australia doubling time cases (rolling mean) Australia doubling time deaths (rolling mean) 0 12730 25460 38190 daily change Australia new cases (rolling 7d mean) Australia new cases 0.0 25.5 50.9 76.4 daily change Australia new deaths (rolling 7d mean) Australia new deaths 0 100 200 300 deaths doubling time [days]
In [4]:
overview("Australia");
2022-07-03T09:38:37.764647 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 1000 1000 2000 2000 3000 3000 7-day incidence rate (per 100K people) 883.0 Australia, 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 0 200 400 600 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 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 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on cases) Australia cases daily growth factor Australia cases daily growth factor (rolling mean) Australia 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 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths)