Saudi Arabia¶

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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 09:31:10 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Saudi Arabia", weeks=5);
2023-01-26T09:31:14.193420 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.5 0.5 0.6 0.6 0.7 0.7 0.8 0.8 7-day incidence rate (per 100K people) 0.7 Saudi Arabia, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.00 0.05 0.10 0.15 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.000 0.002 0.004 0.006 0.008 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 R & growth factor (based on cases) Saudi Arabia cases daily growth factor Saudi Arabia cases daily growth factor (rolling mean) Saudi Arabia estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on deaths) Saudi Arabia deaths daily growth factor Saudi Arabia deaths daily growth factor (rolling mean) Saudi Arabia estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 10000 20000 30000 cases doubling time [days] Saudi Arabia doubling time cases (rolling mean) Saudi Arabia doubling time deaths (rolling mean) 0.00 17.41 34.81 52.22 daily change Saudi Arabia new cases (rolling 7d mean) Saudi Arabia new cases 0.000 0.696 1.393 2.089 2.785 daily change Saudi Arabia new deaths (rolling 7d mean) Saudi Arabia new deaths 0 1952 3903 5855 deaths doubling time [days]
In [4]:
overview("Saudi Arabia");
2023-01-26T09:31:23.000634 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 25 25 50 50 75 75 100 100 7-day incidence rate (per 100K people) 0.7 Saudi Arabia, 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 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 0.05 0.10 0.15 0.20 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 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases)