Australia¶

  • Homepage of project: https://oscovida.github.io
  • Plots are explained at http://oscovida.github.io/plots.html
  • Execute this Jupyter Notebook using myBinder
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 09:25:18 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Australia", weeks=5);
2023-01-26T09:25:22.008513 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 100 100 200 200 300 300 400 400 7-day incidence rate (per 100K people) 105.5 Australia, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 100 200 300 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.00 0.25 0.50 0.75 1.00 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.50 0.50 0.75 0.75 1.00 1.00 1.25 1.25 R & growth factor (based on cases) Australia cases daily growth factor Australia cases daily growth factor (rolling mean) Australia estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on deaths) Australia deaths daily growth factor Australia deaths daily growth factor (rolling mean) Australia estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 1000 2000 3000 cases doubling time [days] Australia doubling time cases (rolling mean) Australia doubling time deaths (rolling mean) 0 25460 50919 76379 daily change Australia new cases (rolling 7d mean) Australia new cases 0.0 63.6 127.3 190.9 254.6 daily change Australia new deaths (rolling 7d mean) Australia new deaths 0 261 521 782 deaths doubling time [days]
In [4]:
overview("Australia");
2023-01-26T09:25:29.656068 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 1000 1000 2000 2000 3000 3000 7-day incidence rate (per 100K people) 105.5 Australia, 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 0 200 400 600 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 0.50 0.50 0.75 0.75 1.00 1.00 1.25 1.25 R & growth factor (based on cases)