Malaysia¶

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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: 30/06/2022 09:45:38 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Malaysia", weeks=5);
2022-06-30T09:45:41.491053 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 35 35 40 40 45 45 50 50 7-day incidence rate (per 100K people) Malaysia, last 5 weeks, last data point from 2022-06-29 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 2 4 6 8 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.00 0.01 0.02 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Malaysia cases daily growth factor Malaysia cases daily growth factor (rolling mean) Malaysia estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on deaths) Malaysia deaths daily growth factor Malaysia deaths daily growth factor (rolling mean) Malaysia estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 1000 2000 cases doubling time [days] Malaysia doubling time cases (rolling mean) Malaysia doubling time deaths (rolling mean) 0 647 1295 1942 2589 daily change Malaysia new cases (rolling 7d mean) Malaysia new cases 0.000 3.237 6.473 daily change Malaysia new deaths (rolling 7d mean) Malaysia new deaths 0 6778 13556 deaths doubling time [days]
In [4]:
overview("Malaysia");
2022-06-30T09:45:46.662128 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 0 200 200 400 400 600 600 7-day incidence rate (per 100K people) 49.9 Malaysia, last data point from 2022-06-29 Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 25 50 75 100 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 0.0 0.5 1.0 1.5 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 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Malaysia cases daily growth factor Malaysia cases daily growth factor (rolling mean) Malaysia 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 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on deaths)