Kenya¶

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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 09:28:45 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Kenya", weeks=5);
2023-01-26T09:28:48.442554 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.1 0.1 0.2 0.2 0.3 0.3 7-day incidence rate (per 100K people) 0.1 Kenya, 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 0.06 0.08 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.00 0.00 0.05 0.05 0.10 0.10 0.15 0.15 0.20 0.20 daily change Kenya new deaths (rolling 7d mean) Kenya new deaths 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 1.0 1.0 1.5 1.5 2.0 2.0 2.5 2.5 R & growth factor (based on cases) Kenya cases daily growth factor Kenya cases daily growth factor (rolling mean) Kenya 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) Kenya deaths daily growth factor Kenya deaths daily growth factor (rolling mean) Kenya estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 20000 40000 60000 cases doubling time [days] Kenya doubling time cases (rolling mean) 0.00 10.75 21.51 32.26 43.02 daily change Kenya new cases (rolling 7d mean) Kenya new cases 0.000 0.258 0.516 0.774
In [4]:
overview("Kenya");
2023-01-26T09:28:56.273381 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) 0.1 Kenya, 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 2 4 6 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 1.0 1.0 1.5 1.5 2.0 2.0 2.5 2.5 R & growth factor (based on cases) Kenya cases daily growth factor Kenya cases daily growth factor (rolling mean) Kenya estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22