Zambia¶

  • 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 09:32:40 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Zambia", weeks=5);
2023-01-26T09:32:43.908874 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 2.5 2.5 5.0 5.0 7.5 7.5 10.0 10.0 7-day incidence rate (per 100K people) 9.0 Zambia, last 5 weeks, last data point from 2023-01-25 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 0.000 0.005 0.010 0.015 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 1.6 1.6 R & growth factor (based on cases) Zambia cases daily growth factor Zambia cases daily growth factor (rolling mean) Zambia estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 1 1 2 2 3 3 R & growth factor (based on deaths) Zambia deaths daily growth factor Zambia deaths daily growth factor (rolling mean) Zambia estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 2000 4000 6000 cases doubling time [days] Zambia doubling time cases (rolling mean) Zambia doubling time deaths (rolling mean) 0.0 183.8 367.7 551.5 daily change Zambia new cases (rolling 7d mean) Zambia new cases 0.000 0.919 1.838 2.758 daily change Zambia new deaths (rolling 7d mean) Zambia new deaths 0 1250 2500 3750 deaths doubling time [days]
In [4]:
overview("Zambia");
2023-01-26T09:32:51.792334 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 50 50 100 100 150 150 7-day incidence rate (per 100K people) 9.0 Zambia, 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 10 20 30 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 0.0 0.1 0.2 0.3 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 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 1.6 1.6 R & growth factor (based on cases) Zambia cases daily growth factor Zambia cases daily growth factor (rolling mean) Zambia estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21