United States: South Carolina¶

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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: 04/07/2022 15:37:56 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="US", region="South Carolina", weeks=5);
2022-07-04T15:37:59.222622 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 0 100 100 200 200 300 300 7-day incidence rate (per 100K people) 213.9 South Carolina, US, last 5 weeks, last data point from 2022-07-03 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 50 100 150 200 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.00 0.25 0.50 0.75 1.00 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) United States: South Carolina cases daily growth factor United States: South Carolina cases daily growth factor (rolling mean) United States: South Carolina estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.5 0.5 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on deaths) United States: South Carolina deaths daily growth factor United States: South Carolina deaths daily growth factor (rolling mean) United States: South Carolina estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 200 400 600 800 cases doubling time [days] United States: South Carolina doubling time cases (rolling mean) United States: South Carolina doubling time deaths (rolling mean) 0 2574 5149 7723 10297 daily change United States: South Carolina new cases (rolling 7d mean) United States: South Carolina new cases 0.00 12.87 25.74 38.62 51.49 daily change United States: South Carolina new deaths (rolling 7d mean) United States: South Carolina new deaths 0 1638 3275 4913 6550 deaths doubling time [days]
In [4]:
overview(country="US", region="South Carolina");
2022-07-04T15:38:04.768985 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 1000 1000 2000 2000 7-day incidence rate (per 100K people) 213.9 South Carolina, US, last data point from 2022-07-03 Jan 20 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 500 1000 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 1 2 3 4 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) United States: South Carolina cases daily growth factor United States: South Carolina cases daily growth factor (rolling mean) United States: South Carolina 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 0.5 0.5 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on deaths)