Benin¶

  • 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 09:25:39 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Benin", weeks=5);
2023-01-26T09:25:42.580562 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.00 0.00 0.02 0.02 0.04 0.04 0.06 0.06 7-day incidence rate (per 100K people) 0.0 Benin, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.00 0.02 0.04 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 Benin new deaths (rolling 7d mean) Benin 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) Benin cases daily growth factor Benin cases daily growth factor (rolling mean) Benin 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) Benin deaths daily growth factor Benin deaths daily growth factor (rolling mean) Benin estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 10000 20000 cases doubling time [days] Benin doubling time cases (rolling mean) 0.000 2.425 4.849 daily change Benin new cases (rolling 7d mean) Benin new cases 0.000 0.367 0.734
In [4]:
overview("Benin");
2023-01-26T09:25:50.437768 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 10 10 20 20 30 30 7-day incidence rate (per 100K people) 0.0 Benin, 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 5 10 15 20 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 0.00 0.02 0.04 0.06 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) Benin cases daily growth factor Benin cases daily growth factor (rolling mean) Benin 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)