US¶

  • 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: 03/07/2022 09:43:20 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("US", weeks=5);
2022-07-03T09:43:23.507471 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 200 200 220 220 240 240 260 260 7-day incidence rate (per 100K people) 247.1 US, last 5 weeks, last data point from 2022-07-02 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 20 40 60 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.1 0.2 0.3 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 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 cases) US cases daily growth factor US cases daily growth factor (rolling mean) US estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on deaths) US deaths daily growth factor US deaths daily growth factor (rolling mean) US estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 200 400 600 800 cases doubling time [days] US doubling time cases (rolling mean) US doubling time deaths (rolling mean) 0 65893 131787 197680 daily change US new cases (rolling 7d mean) US new cases 0 329 659 988 daily change US new deaths (rolling 7d mean) US new deaths 0 830 1661 2491 3322 deaths doubling time [days]
In [4]:
overview("US");
2022-07-03T09:43:29.051395 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 0 500 500 1000 1000 1500 1500 7-day incidence rate (per 100K people) 247.1 US, last data point from 2022-07-02 Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 100 200 300 400 daily change normalised per 100K Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.0 0.5 1.0 daily change normalised per 100K Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 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 cases) US cases daily growth factor US cases daily growth factor (rolling mean) US estimated R (using cases) Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on deaths)