Paraguay¶

  • Homepage of project: https://oscovida.github.io
  • Plots are explained at http://oscovida.github.io/plots.html
  • Execute this Jupyter Notebook using myBinder
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 09:30:24 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Paraguay", weeks=5);
2023-01-26T09:30:27.697649 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 50 50 100 100 150 150 7-day incidence rate (per 100K people) 74.6 Paraguay, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 20 40 60 80 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.1 0.2 0.3 0.4 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 1 1 2 2 R & growth factor (based on cases) Paraguay cases daily growth factor Paraguay cases daily growth factor (rolling mean) Paraguay estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 1.75 1.75 R & growth factor (based on deaths) Paraguay deaths daily growth factor Paraguay deaths daily growth factor (rolling mean) Paraguay estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 500 1000 1500 2000 cases doubling time [days] Paraguay doubling time cases (rolling mean) Paraguay doubling time deaths (rolling mean) 0 1427 2853 4280 5706 daily change Paraguay new cases (rolling 7d mean) Paraguay new cases 0.00 7.13 14.27 21.40 28.53 daily change Paraguay new deaths (rolling 7d mean) Paraguay new deaths 0 1191 2382 3573 4764 deaths doubling time [days]
In [4]:
overview("Paraguay");
2023-01-26T09:30:35.954888 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 0 200 200 400 400 600 600 800 800 7-day incidence rate (per 100K people) 74.6 Paraguay, 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 0 200 400 600 800 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 1 1 2 2 R & growth factor (based on cases) Paraguay cases daily growth factor Paraguay cases daily growth factor (rolling mean) Paraguay estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22