Laos¶

  • 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 09:40:57 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Laos", weeks=5);
2022-07-03T09:41:00.167849 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 1 1 2 2 3 3 7-day incidence rate (per 100K people) 0.9 Laos, last 5 weeks, last data point from 2022-07-02 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.2 0.4 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.000 0.005 0.010 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 1.4 1.4 R & growth factor (based on cases) Laos cases daily growth factor Laos cases daily growth factor (rolling mean) Laos estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Laos deaths daily growth factor Laos deaths daily growth factor (rolling mean) Laos estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 10000 20000 30000 cases doubling time [days] Laos doubling time cases (rolling mean) 0.00 14.55 29.10 daily change Laos new cases (rolling 7d mean) Laos new cases 0.000 0.364 0.728 daily change Laos new deaths (rolling 7d mean) Laos new deaths 0.000 0.305 0.610 0.916
In [4]:
overview("Laos");
2022-07-03T09:41:05.519281 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 0 100 100 200 200 7-day incidence rate (per 100K people) 0.9 Laos, 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 20 40 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 0.00 0.05 0.10 0.15 0.20 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 1.4 1.4 R & growth factor (based on cases) Laos cases daily growth factor Laos cases daily growth factor (rolling mean) Laos 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 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Laos deaths daily growth factor Laos deaths daily growth factor (rolling mean) Laos estimated R (using deaths) Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 10000 20000 30000 cases doubling time [days]