Panama¶

  • 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 09:30:38 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Panama", weeks=5);
2023-01-26T09:30:41.821860 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 7-day incidence rate (per 100K people) 18.3 Panama, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 20 40 60 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.1 0.2 0.3 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) Panama cases daily growth factor Panama cases daily growth factor (rolling mean) Panama estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.4 0.4 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on deaths) Panama deaths daily growth factor Panama deaths daily growth factor (rolling mean) Panama estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 2000 4000 6000 cases doubling time [days] Panama doubling time cases (rolling mean) Panama doubling time deaths (rolling mean) 0 863 1726 2589 daily change Panama new cases (rolling 7d mean) Panama new cases 0.00 4.31 8.63 12.94 daily change Panama new deaths (rolling 7d mean) Panama new deaths 0 2826 5652 8478 deaths doubling time [days]
In [4]:
overview("Panama");
2023-01-26T09:30:49.935879 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 0 500 500 1000 1000 1500 1500 7-day incidence rate (per 100K people) 18.3 Panama, 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 0 100 200 300 400 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 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) Panama cases daily growth factor Panama cases daily growth factor (rolling mean) Panama estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21