Haiti¶

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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: 03/07/2022 09:40:21 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Haiti", weeks=5);
2022-07-03T09:40:24.390040 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 1 1 2 2 3 3 7-day incidence rate (per 100K people) 2.6 Haiti, last 5 weeks, last data point from 2022-07-02 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.0 0.2 0.4 0.6 0.8 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.000 0.005 0.010 0.015 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0.5 0.5 1.0 1.0 1.5 1.5 2.0 2.0 2.5 2.5 R & growth factor (based on cases) Haiti cases daily growth factor Haiti cases daily growth factor (rolling mean) Haiti estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Haiti deaths daily growth factor Haiti deaths daily growth factor (rolling mean) Haiti estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 0 1000 2000 cases doubling time [days] Haiti doubling time cases (rolling mean) 0.0 22.8 45.6 68.4 91.2 daily change Haiti new cases (rolling 7d mean) Haiti new cases 0.00 0.57 1.14 1.71 daily change Haiti new deaths (rolling 7d mean) Haiti new deaths 0.000 0.365 0.730
In [4]:
overview("Haiti");
2022-07-03T09:40:29.418950 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 5 5 10 10 7-day incidence rate (per 100K people) 2.6 Haiti, last data point from 2022-07-02 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 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 0.2 0.4 0.6 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 0.5 0.5 1.0 1.0 1.5 1.5 2.0 2.0 2.5 2.5 R & growth factor (based on cases) Haiti cases daily growth factor Haiti cases daily growth factor (rolling mean) Haiti 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 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths)