Sweden¶

  • 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 09:31:37 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Sweden", weeks=5);
2023-01-26T09:31:41.624110 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 25 25 50 50 75 75 100 100 125 125 7-day incidence rate (per 100K people) 26.1 Sweden, 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 1 2 3 4 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Sweden cases daily growth factor Sweden cases daily growth factor (rolling mean) Sweden estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 R & growth factor (based on deaths) Sweden deaths daily growth factor Sweden deaths daily growth factor (rolling mean) Sweden estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 2000 4000 6000 cases doubling time [days] Sweden doubling time cases (rolling mean) Sweden doubling time deaths (rolling mean) 0 5050 10099 daily change Sweden new cases (rolling 7d mean) Sweden new cases 0 101 202 303 404 daily change Sweden new deaths (rolling 7d mean) Sweden new deaths 0.0 211.6 423.2 634.8 deaths doubling time [days]
In [4]:
overview("Sweden");
2023-01-26T09:31:49.948917 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 7-day incidence rate (per 100K people) 26.1 Sweden, 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 0 500 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 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Sweden cases daily growth factor Sweden cases daily growth factor (rolling mean) Sweden estimated R (using cases) Jan 20