Seychelles¶

  • 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: 04/07/2022 09:45:37 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Seychelles", weeks=5);
2022-07-04T09:45:40.806898 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 0 100 100 200 200 300 300 7-day incidence rate (per 100K people) 181.0 Seychelles, last 5 weeks, last data point from 2022-07-03 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 50 100 150 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change Seychelles new deaths (rolling 7d mean) Seychelles new deaths 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.50 0.50 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 R & growth factor (based on cases) Seychelles cases daily growth factor Seychelles cases daily growth factor (rolling mean) Seychelles estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 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) Seychelles deaths daily growth factor Seychelles deaths daily growth factor (rolling mean) Seychelles estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 500 1000 1500 cases doubling time [days] Seychelles doubling time cases (rolling mean) 0.0 49.2 98.3 147.5 daily change Seychelles new cases (rolling 7d mean) Seychelles new cases 0.000 0.274 0.548 0.822
In [4]:
overview("Seychelles");
2022-07-04T09:45:45.994656 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 1000 1000 2000 2000 3000 3000 4000 4000 7-day incidence rate (per 100K people) 181.0 Seychelles, last data point from 2022-07-03 Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 500 1000 1500 2000 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 2.5 5.0 7.5 10.0 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 0.50 0.50 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 R & growth factor (based on cases) Seychelles cases daily growth factor Seychelles cases daily growth factor (rolling mean) Seychelles 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 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths)