Kuwait¶

  • 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 09:28:45 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Kuwait", weeks=5);
2023-01-26T09:28:48.542168 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 1 1 2 2 7-day incidence rate (per 100K people) 0.0 Kuwait, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 1 2 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change Kuwait new deaths (rolling 7d mean) Kuwait new deaths 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 1 1 2 2 3 3 4 4 R & growth factor (based on cases) Kuwait cases daily growth factor Kuwait cases daily growth factor (rolling mean) Kuwait 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) Kuwait deaths daily growth factor Kuwait deaths daily growth factor (rolling mean) Kuwait estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 10000 20000 30000 40000 cases doubling time [days] Kuwait doubling time cases (rolling mean) 0.0 42.7 85.4 daily change Kuwait new cases (rolling 7d mean) Kuwait new cases 0.000 0.246 0.492 0.737 0.983
In [4]:
overview("Kuwait");
2023-01-26T09:28:56.005178 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 0 250 250 500 500 750 750 1000 1000 7-day incidence rate (per 100K people) 0.0 Kuwait, 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 50 100 150 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 0.1 0.2 0.3 0.4 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 1 1 2 2 3 3 4 4 R & growth factor (based on cases) Kuwait cases daily growth factor Kuwait cases daily growth factor (rolling mean) Kuwait estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths)