Timor-Leste¶

  • 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: 30/06/2022 09:47:47 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Timor-Leste", weeks=5);
2022-06-30T09:47:50.338830 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.5 0.5 1.0 1.0 1.5 1.5 7-day incidence rate (per 100K people) 0.9 Timor-Leste, last 5 weeks, last data point from 2022-06-29 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 0.00 0.02 0.04 0.06 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.5 0.5 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on cases) Timor-Leste cases daily growth factor Timor-Leste cases daily growth factor (rolling mean) Timor-Leste estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 0 2 2 4 4 6 6 8 8 R & growth factor (based on deaths) Timor-Leste deaths daily growth factor Timor-Leste deaths daily growth factor (rolling mean) Timor-Leste estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 5000 10000 15000 20000 cases doubling time [days] Timor-Leste doubling time cases (rolling mean) 0.000 2.637 5.274 daily change Timor-Leste new cases (rolling 7d mean) Timor-Leste new cases 0.000 0.264 0.527 0.791 daily change Timor-Leste new deaths (rolling 7d mean) Timor-Leste new deaths 0.000 0.227 0.454 0.680 0.907
In [4]:
overview("Timor-Leste");
2022-06-30T09:47:55.365852 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 50 50 100 100 150 150 7-day incidence rate (per 100K people) 0.9 Timor-Leste, last data point from 2022-06-29 Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 10 20 30 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 0.0 0.1 0.2 0.3 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 0.5 0.5 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on cases) Timor-Leste cases daily growth factor Timor-Leste cases daily growth factor (rolling mean) Timor-Leste 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 2 2 4 4 6 6 8 8 R & growth factor (based on deaths) Timor-Leste deaths daily growth factor Timor-Leste deaths daily growth factor (rolling mean) Timor-Leste 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 cases doubling time [days]