Bangladesh¶

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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: 04/07/2022 09:41:37 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Bangladesh", weeks=5);
2022-07-04T09:41:40.774945 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 0 2 2 4 4 6 6 8 8 7-day incidence rate (per 100K people) Bangladesh, last 5 weeks, last data point from 2022-07-03 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.0 0.5 1.0 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.000 0.001 0.002 0.003 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 1.0 1.0 1.5 1.5 2.0 2.0 2.5 2.5 R & growth factor (based on cases) Bangladesh cases daily growth factor Bangladesh cases daily growth factor (rolling mean) Bangladesh estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 2 2 4 4 6 6 8 8 R & growth factor (based on deaths) Bangladesh deaths daily growth factor Bangladesh deaths daily growth factor (rolling mean) Bangladesh estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 20000 40000 60000 cases doubling time [days] Bangladesh doubling time cases (rolling mean) Bangladesh doubling time deaths (rolling mean) 0 823 1647 daily change Bangladesh new cases (rolling 7d mean) Bangladesh new cases 0.000 1.647 3.294 4.941 daily change Bangladesh new deaths (rolling 7d mean) Bangladesh new deaths 0 11302 22604 33906 deaths doubling time [days]
In [4]:
overview("Bangladesh");
2022-07-04T09:41:45.760191 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 0 20 20 40 40 60 60 7-day incidence rate (per 100K people) 8.2 Bangladesh, last data point from 2022-07-03 Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 2 4 6 8 daily change normalised per 100K Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.00 0.05 0.10 0.15 daily change normalised per 100K Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 1.0 1.0 1.5 1.5 2.0 2.0 2.5 2.5 R & growth factor (based on cases) Bangladesh cases daily growth factor Bangladesh cases daily growth factor (rolling mean) Bangladesh estimated R (using cases) Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 2 2 4 4 6 6 8 8 R & growth factor (based on deaths)