Belgium¶

  • 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 09:25:39 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Belgium", weeks=5);
2023-01-26T09:25:42.551947 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 50 50 100 100 7-day incidence rate (per 100K people) 24.2 Belgium, 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 0.0 0.5 1.0 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 1 1 2 2 3 3 4 4 R & growth factor (based on cases) Belgium cases daily growth factor Belgium cases daily growth factor (rolling mean) Belgium 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) Belgium deaths daily growth factor Belgium deaths daily growth factor (rolling mean) Belgium estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 2500 5000 7500 10000 cases doubling time [days] Belgium doubling time cases (rolling mean) Belgium doubling time deaths (rolling mean) 0 2873 5746 8619 11493 daily change Belgium new cases (rolling 7d mean) Belgium new cases 0.0 57.5 114.9 daily change Belgium new deaths (rolling 7d mean) Belgium new deaths 0 1057 2114 3170 4227 deaths doubling time [days]
In [4]:
overview("Belgium");
2023-01-26T09:25:50.298107 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) 24.2 Belgium, 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 1 2 3 4 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 1 1 2 2 3 3 4 4 R & growth factor (based on cases) Belgium cases daily growth factor Belgium cases daily growth factor (rolling mean) Belgium 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 1