Vanuatu¶

  • 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 09:32:37 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview("Vanuatu", weeks=5);
2023-01-26T09:32:41.202722 image/svg+xml Matplotlib v3.6.3, https://matplotlib.org/ 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.0 2.5 2.5 5.0 5.0 7.5 7.5 10.0 10.0 7-day incidence rate (per 100K people) 0.0 Vanuatu, last 5 weeks, last data point from 2023-01-25 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.2 0.4 0.6 daily change normalised per 100K 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change Vanuatu new deaths (rolling 7d mean) Vanuatu new deaths 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on cases) Vanuatu cases daily growth factor Vanuatu cases daily growth factor (rolling mean) Vanuatu estimated R (using cases) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths) Vanuatu deaths daily growth factor Vanuatu deaths daily growth factor (rolling mean) Vanuatu estimated R (using deaths) 26 Dec 02 Jan 09 Jan 16 Jan 23 Jan 0.0 0.2 0.4 0.6 0.8 1.0 0.000 0.585 1.171 1.756 daily change Vanuatu new cases (rolling 7d mean) Vanuatu new cases 0.0 0.2 0.4 0.6 0.8 1.0
In [4]:
overview("Vanuatu");
2023-01-26T09:32:48.855743 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 7-day incidence rate (per 100K people) 0.0 Vanuatu, 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 50 100 150 200 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 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 1 1 2 2 3 3 4 4 R & growth factor (based on cases) Vanuatu cases daily growth factor Vanuatu cases daily growth factor (rolling mean) Vanuatu estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths) Vanuatu deaths daily growth factor Vanuatu deaths daily growth factor (rolling mean) Vanuatu estimated R (using deaths) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 2500 5000 7500 10000 cases doubling time [days] Vanuatu doubling time cases (rolling mean) Vanuatu doubling time deaths (rolling mean) 0.0 146.3 292.7 439.0 585.4 daily change