Russia¶

  • 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 09:30:51 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Russia", weeks=5);
2023-01-26T09:30:54.877104 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 15 15 20 20 25 25 30 30 35 35 7-day incidence rate (per 100K people) 26.9 Russia, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 2 4 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.00 0.01 0.02 0.03 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Russia cases daily growth factor Russia cases daily growth factor (rolling mean) Russia estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths) Russia deaths daily growth factor Russia deaths daily growth factor (rolling mean) Russia estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 2000 4000 cases doubling time [days] Russia doubling time cases (rolling mean) Russia doubling time deaths (rolling mean) 0 2919 5837 daily change Russia new cases (rolling 7d mean) Russia new cases 0.00 14.59 29.19 43.78 daily change Russia new deaths (rolling 7d mean) Russia new deaths 0 2541 5082 deaths doubling time [days]
In [4]:
overview("Russia");
2023-01-26T09:31:03.547506 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 0 200 200 400 400 600 600 800 800 7-day incidence rate (per 100K people) 26.9 Russia, 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 50 100 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 0.2 0.4 0.6 0.8 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 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Russia cases daily growth factor Russia cases daily growth factor (rolling mean) Russia estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21