Chad¶

  • 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 09:39:12 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Chad", weeks=5);
2022-07-03T09:39:15.637435 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.00 0.00 0.01 0.01 0.02 0.02 7-day incidence rate (per 100K people) 0.0 Chad, last 5 weeks, last data point from 2022-07-02 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.000 0.005 0.010 0.015 0.020 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change Chad new deaths (rolling 7d mean) Chad new deaths 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) Chad cases daily growth factor Chad cases daily growth factor (rolling mean) Chad estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 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) Chad deaths daily growth factor Chad deaths daily growth factor (rolling mean) Chad estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 2000 4000 6000 8000 cases doubling time [days] Chad doubling time cases (rolling mean) 0.000 0.821 1.643 2.464 3.285 daily change Chad new cases (rolling 7d mean) Chad new cases 0.000 0.220 0.441 0.661 0.881
In [4]:
overview("Chad");
2022-07-03T09:39:20.634474 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 1 1 2 2 3 3 7-day incidence rate (per 100K people) 0.0 Chad, 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 1 2 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 0.00 0.02 0.04 0.06 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) Chad cases daily growth factor Chad cases daily growth factor (rolling mean) Chad 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) Chad deaths daily growth factor Chad deaths daily growth factor (rolling mean) Chad estimated R (using deaths) Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21