Bahamas¶

  • 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 09:38:29 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Bahamas", weeks=5);
2022-07-03T09:38:32.628035 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 40 40 60 60 80 80 100 100 120 120 7-day incidence rate (per 100K people) 45.8 Bahamas, last 5 weeks, last data point from 2022-07-02 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 10 20 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.2 0.4 0.6 daily change normalised per 100K 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 cases) Bahamas cases daily growth factor Bahamas cases daily growth factor (rolling mean) Bahamas estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 1 1 2 2 3 3 R & growth factor (based on deaths) Bahamas deaths daily growth factor Bahamas deaths daily growth factor (rolling mean) Bahamas estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 500 1000 cases doubling time [days] Bahamas doubling time cases (rolling mean) Bahamas doubling time deaths (rolling mean) 0.0 39.3 78.6 daily change Bahamas new cases (rolling 7d mean) Bahamas new cases 0.000 0.786 1.573 2.359 daily change Bahamas new deaths (rolling 7d mean) Bahamas new deaths 0.0 203.3 406.6 deaths doubling time [days]
In [4]:
overview("Bahamas");
2022-07-03T09:38:37.315036 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 0 200 200 400 400 600 600 800 800 7-day incidence rate (per 100K people) 45.8 Bahamas, 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 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 2 4 6 8 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 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Bahamas cases daily growth factor Bahamas cases daily growth factor (rolling mean) Bahamas 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 1 1 2 2 3 3 R & growth factor (based on deaths)