Germany: LK Mettmann (Nordrhein-Westfalen)¶

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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: 07/03/2023 14:01:08 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Mettmann", weeks=5);
2023-03-07T14:01:22.371951 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 100 100 150 150 200 200 250 250 7-day incidence rate (per 100K people) 99.5 LK Mettmann, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 20 40 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.0 0.1 0.2 0.3 0.4 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.6 0.6 0.8 0.8 1.0 1.0 1.2 1.2 R & growth factor (based on cases) Germany-LK Mettmann cases daily growth factor Germany-LK Mettmann cases daily growth factor (rolling mean) Germany-LK Mettmann estimated R (using cases) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-LK Mettmann deaths daily growth factor Germany-LK Mettmann deaths daily growth factor (rolling mean) Germany-LK Mettmann estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 1000 2000 3000 cases doubling time [days] Germany-LK Mettmann doubling time cases (rolling mean) 0.0 96.9 193.8 daily change Germany-LK Mettmann new cases (rolling 7d mean) Germany-LK Mettmann new cases 0.000 0.484 0.969 1.453 1.938 daily change Germany-LK Mettmann new deaths (rolling 7d mean) Germany-LK Mettmann new deaths 0.000 0.276 0.551 0.827
In [4]:
overview(country="Germany", subregion="LK Mettmann");
2023-03-07T14:01:40.260131 image/svg+xml Matplotlib v3.7.1, 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 2000 2000 7-day incidence rate (per 100K people) 99.5 LK Mettmann, Germany, last data point from 2023-03-06 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 1 2 3 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) Germany-LK Mettmann cases daily growth factor Germany-LK Mettmann cases daily growth factor (rolling mean) Germany-LK Mettmann estimated R (using cases) Jan 20 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-LK Mettmann deaths daily growth factor Germany-LK Mettmann deaths daily growth factor (rolling mean) Germany-LK Mettmann 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] Germany-LK Mettmann doubling time cases (rolling mean) Germany-LK Mettmann doubling time deaths (rolling mean) 0 484 969 1453 1938 daily change Germany-LK Mettmann new cases (rolling 7d mean) Germany-LK Mettmann new cases 0.00 4.84 9.69 14.53 daily change Germany-LK Mettmann new deaths (rolling 7d mean) Germany-LK Mettmann new deaths 0 415 830 1245 1660 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="LK Mettmann", dates="2020-03-15:");
2023-03-07T14:04:41.525644 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 2020-05 2020-09 2021-01 2021-05 2021-09 2022-01 2022-05 2022-09 2023-01 0.1 0.1 1 1 10 10 100 100 daily new cases (rolling 7-day mean) normalised by 100K people Daily cases (top) and deaths (below) for Germany: LK Mettmann LK Mettmann Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt 2020-05 2020-09 2021-01 2021-05 2021-09 2022-01 2022-05 2022-09 2023-01 0.001 0.001 0.01 0.01 0.1 0.1 1 1 daily new deaths (rolling 7-day mean) normalised by 100K people LK Mettmann Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="LK Mettmann")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Mettmann")
print(f'Population of country="Germany", subregion="LK Mettmann": {inhabitants} people')

# compose into one table
table = compose_dataframe_summary(cases, deaths)

# show tables with up to 1000 rows
pd.set_option("display.max_rows", 1000)

# display the table
table

Population of country="Germany", subregion="LK Mettmann": 484411 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-06 231809 12 1313 0
2023-03-05 231797 9 1313 0
2023-03-04 231788 33 1313 0
2023-03-03 231755 58 1313 0
2023-03-02 231697 80 1313 0
... ... ... ... ...
2020-03-10 9 2 0 0
2020-03-09 7 3 0 0
2020-03-07 4 1 0 0
2020-03-06 3 1 0 0
2020-03-04 2 1 0 0

1079 rows × 4 columns

Explore the data in your web browser¶

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Acknowledgements:¶

  • Johns Hopkins University provides data for countries
  • Robert Koch Institute provides data for within Germany
  • Atlo Team for gathering and providing data from Hungary (https://atlo.team/koronamonitor/)
  • Open source and scientific computing community for the data tools
  • Github for hosting repository and html files
  • Project Jupyter for the Notebook and binder service
  • The H2020 project Photon and Neutron Open Science Cloud (PaNOSC)
In [7]:
print(f"Download of data from Johns Hopkins university: cases at {fetch_cases_last_execution()} and "
      f"deaths at {fetch_deaths_last_execution()}.")

Download of data from Johns Hopkins university: cases at 07/03/2023 09:31:22 and deaths at 07/03/2023 09:31:21.
In [8]:
# to force a fresh download of data, run "clear_cache()"
In [9]:
print(f"Notebook execution took: {datetime.datetime.now()-start}")

Notebook execution took: 0:04:01.682876