Denmark¶

  • 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 09:26:57 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Denmark", weeks=5);
2023-01-26T09:27:00.479370 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 50 50 100 100 150 150 7-day incidence rate (per 100K people) 19.3 Denmark, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 20 40 60 80 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.5 1.0 1.5 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.5 0.5 1.0 1.0 1.5 1.5 R & growth factor (based on cases) Denmark cases daily growth factor Denmark cases daily growth factor (rolling mean) Denmark 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) Denmark deaths daily growth factor Denmark deaths daily growth factor (rolling mean) Denmark estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 5000 10000 15000 cases doubling time [days] Denmark doubling time cases (rolling mean) Denmark doubling time deaths (rolling mean) 0 1167 2335 3502 4670 daily change Denmark new cases (rolling 7d mean) Denmark new cases 0.0 29.2 58.4 87.6 daily change Denmark new deaths (rolling 7d mean) Denmark new deaths 0 362 723 1085 deaths doubling time [days]
In [4]:
overview("Denmark");
2023-01-26T09:27:08.966236 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 2000 2000 4000 4000 7-day incidence rate (per 100K people) 19.3 Denmark, 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 0 200 400 600 800 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 1.5 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 0.5 0.5 1.0 1.0 1.5 1.5 R & growth factor (based on cases) Denmark cases daily growth factor Denmark cases daily growth factor (rolling mean) Denmark estimated R (using cases) Jan 20