Nepal¶

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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 09:29:55 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Nepal", weeks=5);
2023-01-26T09:29:59.096919 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.06 0.06 0.08 0.08 0.10 0.10 0.12 0.12 7-day incidence rate (per 100K people) 0.0 Nepal, 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 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.000 0.001 0.002 0.003 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Nepal cases daily growth factor Nepal cases daily growth factor (rolling mean) Nepal 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) Nepal deaths daily growth factor Nepal deaths daily growth factor (rolling mean) Nepal estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 200000 400000 600000 cases doubling time [days] Nepal doubling time cases (rolling mean) 0.00 5.83 11.65 daily change Nepal new cases (rolling 7d mean) Nepal new cases 0.000 0.291 0.583 0.874 daily change Nepal new deaths (rolling 7d mean) Nepal new deaths 0.000 0.315 0.629 0.944
In [4]:
overview("Nepal");
2023-01-26T09:30:08.092448 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 50 100 100 150 150 200 200 7-day incidence rate (per 100K people) 0.0 Nepal, 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 0.5 1.0 1.5 2.0 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 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Nepal cases daily growth factor Nepal cases daily growth factor (rolling mean) Nepal estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23