Switzerland¶

  • 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 09:31:26 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Switzerland", weeks=5);
2023-01-26T09:31:29.744280 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 50 50 100 100 150 150 7-day incidence rate (per 100K people) 0.0 Switzerland, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 50 100 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.1 0.2 0.3 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.25 0.25 0.50 0.50 0.75 0.75 1.00 1.00 1.25 1.25 R & growth factor (based on cases) Switzerland cases daily growth factor Switzerland cases daily growth factor (rolling mean) Switzerland estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 1 1 2 2 3 3 R & growth factor (based on deaths) Switzerland deaths daily growth factor Switzerland deaths daily growth factor (rolling mean) Switzerland estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 5000 10000 15000 20000 cases doubling time [days] Switzerland doubling time cases (rolling mean) Switzerland doubling time deaths (rolling mean) 0 4327 8655 daily change Switzerland new cases (rolling 7d mean) Switzerland new cases 0.00 8.65 17.31 25.96 daily change Switzerland new deaths (rolling 7d mean) Switzerland new deaths 0 2914 5829 8743 11658 deaths doubling time [days]
In [4]:
overview("Switzerland");
2023-01-26T09:31:38.001783 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) 0.0 Switzerland, 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 0.0 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 0.25 0.25 0.50 0.50 0.75 0.75 1.00 1.00 1.25 1.25 R & growth factor (based on cases) Switzerland cases daily growth factor Switzerland cases daily growth factor (rolling mean) Switzerland estimated R (using cases) Jan 20 May 20