San Marino¶

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  • Plots are explained at http://oscovida.github.io/plots.html
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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 09:30:58 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("San Marino", weeks=5);
2023-01-26T09:31:02.052771 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 200 200 400 400 600 600 7-day incidence rate (per 100K people) 97.2 San Marino, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 200 400 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 1 2 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.50 0.50 0.75 0.75 1.00 1.00 1.25 1.25 R & growth factor (based on cases) San Marino cases daily growth factor San Marino cases daily growth factor (rolling mean) San Marino estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) San Marino deaths daily growth factor San Marino deaths daily growth factor (rolling mean) San Marino estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 1000 2000 3000 4000 cases doubling time [days] San Marino doubling time cases (rolling mean) 0.0 67.9 135.8 daily change San Marino new cases (rolling 7d mean) San Marino new cases 0.000 0.339 0.679 daily change San Marino new deaths (rolling 7d mean) San Marino new deaths 0.000 0.243 0.486 0.729 0.972
In [4]:
overview("San Marino");
2023-01-26T09:31:09.673398 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 1000 1000 2000 2000 3000 3000 4000 4000 7-day incidence rate (per 100K people) 97.2 San Marino, 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 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 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 0.50 0.50 0.75 0.75 1.00 1.00 1.25 1.25 R & growth factor (based on cases) San Marino cases daily growth factor San Marino cases daily growth factor (rolling mean) San Marino 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 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths)