Mauritius¶

  • 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 09:29:30 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Mauritius", weeks=5);
2023-01-26T09:29:33.147634 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 50 50 100 100 150 150 7-day incidence rate (per 100K people) 55.3 Mauritius, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 25 50 75 100 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.00 0.05 0.10 0.15 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on cases) Mauritius cases daily growth factor Mauritius cases daily growth factor (rolling mean) Mauritius estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Mauritius deaths daily growth factor Mauritius deaths daily growth factor (rolling mean) Mauritius estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 500 1000 1500 2000 cases doubling time [days] Mauritius doubling time cases (rolling mean) 0 318 636 954 1272 daily change Mauritius new cases (rolling 7d mean) Mauritius new cases 0.000 0.636 1.272 1.908 daily change Mauritius new deaths (rolling 7d mean) Mauritius new deaths 0.000 0.207 0.414 0.620 0.827
In [4]:
overview("Mauritius");
2023-01-26T09:29:41.351762 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) 55.3 Mauritius, 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 1500 2000 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 0 1 1 2 2 3 3 4 4 R & growth factor (based on cases) Mauritius cases daily growth factor Mauritius cases daily growth factor (rolling mean) Mauritius estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths)