Botswana¶

  • 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("Botswana", weeks=5);
2023-01-26T09:25:42.923419 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 10 10 20 20 7-day incidence rate (per 100K people) 13.0 Botswana, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 5 10 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 1 2 3 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.5 0.5 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on cases) Botswana cases daily growth factor Botswana cases daily growth factor (rolling mean) Botswana estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan −150 −150 −100 −100 −50 −50 0 0 R & growth factor (based on deaths) Botswana deaths daily growth factor Botswana deaths daily growth factor (rolling mean) Botswana estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 2500 5000 7500 10000 cases doubling time [days] Botswana doubling time cases (rolling mean) Botswana doubling time deaths (rolling mean) 0.0 117.6 235.2 daily change Botswana new cases (rolling 7d mean) Botswana new cases 0.00 23.52 47.03 70.55 daily change Botswana new deaths (rolling 7d mean) Botswana new deaths 0 975 1951 2926 3901 deaths doubling time [days]
In [4]:
overview("Botswana");
2023-01-26T09:25:50.619810 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 0 500 500 1000 1000 1500 1500 7-day incidence rate (per 100K people) 13.0 Botswana, 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 0 500 1000 1500 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 2 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 0.5 0.5 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on cases) Botswana cases daily growth factor Botswana cases daily growth factor (rolling mean) Botswana estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 −150 −150 −100 −100 −50 −50 0 0 R & growth factor (based on deaths)