Germany: LK Saalfeld-Rudolstadt (Thüringen)¶

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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 16:09:06 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Saalfeld-Rudolstadt", weeks=5);
2023-03-07T16:09:19.986842 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 20 20 30 30 40 40 50 50 60 60 7-day incidence rate (per 100K people) 47.5 LK Saalfeld-Rudolstadt, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 5 10 15 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.0 0.2 0.4 0.6 0.8 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 1.6 1.6 R & growth factor (based on cases) Germany-LK Saalfeld-Rudolstadt cases daily growth factor Germany-LK Saalfeld-Rudolstadt cases daily growth factor (rolling mean) Germany-LK Saalfeld-Rudolstadt 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 Saalfeld-Rudolstadt deaths daily growth factor Germany-LK Saalfeld-Rudolstadt deaths daily growth factor (rolling mean) Germany-LK Saalfeld-Rudolstadt estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 2500 5000 7500 10000 cases doubling time [days] Germany-LK Saalfeld-Rudolstadt doubling time cases (rolling mean) 0.00 5.05 10.10 15.15 daily change Germany-LK Saalfeld-Rudolstadt new cases (rolling 7d mean) Germany-LK Saalfeld-Rudolstadt new cases 0.000 0.202 0.404 0.606 0.808 daily change Germany-LK Saalfeld-Rudolstadt new deaths (rolling 7d mean) Germany-LK Saalfeld-Rudolstadt new deaths 0.000 0.248 0.495 0.743 0.990
In [4]:
overview(country="Germany", subregion="LK Saalfeld-Rudolstadt");
2023-03-07T16:09:38.338259 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 1000 1000 2000 2000 3000 3000 7-day incidence rate (per 100K people) 47.5 LK Saalfeld-Rudolstadt, Germany, last data point from 2023-03-06 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 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.0 2.5 5.0 7.5 10.0 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 1.6 1.6 R & growth factor (based on cases) Germany-LK Saalfeld-Rudolstadt cases daily growth factor Germany-LK Saalfeld-Rudolstadt cases daily growth factor (rolling mean) Germany-LK Saalfeld-Rudolstadt estimated R (using cases) 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 Saalfeld-Rudolstadt deaths daily growth factor Germany-LK Saalfeld-Rudolstadt deaths daily growth factor (rolling mean) Germany-LK Saalfeld-Rudolstadt estimated R (using deaths) 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 Saalfeld-Rudolstadt doubling time cases (rolling mean) Germany-LK Saalfeld-Rudolstadt doubling time deaths (rolling mean) 0 202 404 606 808 daily change Germany-LK Saalfeld-Rudolstadt new cases (rolling 7d mean) Germany-LK Saalfeld-Rudolstadt new cases 0.00 2.52 5.05 7.57 10.10 daily change Germany-LK Saalfeld-Rudolstadt new deaths (rolling 7d mean) Germany-LK Saalfeld-Rudolstadt new deaths 0.0 138.4 276.7 415.1 553.4 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="LK Saalfeld-Rudolstadt", dates="2020-03-15:");
2023-03-07T16:11:46.594498 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 Saalfeld-Rudolstadt LK Saalfeld-Rudolstadt 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 0.01 0.01 0.1 0.1 1 1 daily new deaths (rolling 7-day mean) normalised by 100K people LK Saalfeld-Rudolstadt Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="LK Saalfeld-Rudolstadt")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Saalfeld-Rudolstadt")
print(f'Population of country="Germany", subregion="LK Saalfeld-Rudolstadt": {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 Saalfeld-Rudolstadt": 100969 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-03 42049 10 599 0
2023-03-02 42039 9 599 0
2023-03-01 42030 18 599 0
2023-02-28 42012 11 599 0
2023-02-27 42001 14 599 1
2023-02-24 41987 7 598 0
2023-02-23 41980 6 598 0
2023-02-22 41974 20 598 0
2023-02-21 41954 12 598 1
2023-02-20 41942 6 597 0
2023-02-17 41936 5 597 0
2023-02-16 41931 6 597 0
2023-02-15 41925 3 597 0
2023-02-14 41922 10 597 0
2023-02-13 41912 8 597 0
2023-02-10 41904 3 597 0
2023-02-09 41901 8 597 0
2023-02-08 41893 5 597 0
2023-02-07 41888 9 597 0
2023-02-06 41879 3 597 0
2023-02-03 41876 3 597 0
2023-02-02 41873 9 597 0
2023-02-01 41864 5 597 0
2023-01-31 41859 2 597 0
2023-01-30 41857 9 597 0
2023-01-27 41848 4 597 0
2023-01-26 41844 8 597 0
2023-01-25 41836 8 597 0
2023-01-24 41828 4 597 0
2023-01-23 41824 12 597 2
2023-01-20 41812 4 595 0
2023-01-19 41808 10 595 0
2023-01-18 41798 6 595 0
2023-01-17 41792 6 595 0
2023-01-16 41786 10 595 1
2023-01-13 41776 1 594 0
2023-01-12 41775 10 594 1
2023-01-11 41765 12 593 0
2023-01-10 41753 7 593 0
2023-01-09 41746 29 593 0
2023-01-06 41717 6 593 0
2023-01-05 41711 11 593 1
2023-01-04 41700 20 592 0
2023-01-03 41680 9 592 0
2023-01-02 41671 11 592 1
2022-12-30 41660 7 591 0
2022-12-29 41653 11 591 0
2022-12-28 41642 11 591 0
2022-12-27 41631 15 591 0
2022-12-23 41616 16 591 0
2022-12-22 41600 17 591 0
2022-12-21 41583 27 591 0
2022-12-20 41556 9 591 0
2022-12-19 41547 26 591 1
2022-12-16 41521 9 590 0
2022-12-15 41512 10 590 0
2022-12-14 41502 15 590 0
2022-12-13 41487 12 590 0
2022-12-12 41475 23 590 2
2022-12-11 41452 1 588 0
2022-12-09 41451 12 588 0
2022-12-08 41439 19 588 0
2022-12-07 41420 14 588 0
2022-12-06 41406 22 588 0
2022-12-05 41384 10 588 0
2022-12-02 41374 9 588 0
2022-12-01 41365 18 588 0
2022-11-30 41347 25 588 0
2022-11-29 41322 14 588 0
2022-11-28 41308 15 588 0
2022-11-25 41293 10 588 0
2022-11-24 41283 20 588 0
2022-11-23 41263 21 588 0
2022-11-22 41242 26 588 0
2022-11-21 41216 31 588 0
2022-11-18 41185 15 588 0
2022-11-17 41170 17 588 0
2022-11-16 41153 44 588 0
2022-11-15 41109 22 588 1
2022-11-14 41087 31 587 1
2022-11-11 41056 12 586 0
2022-11-10 41044 15 586 0
2022-11-09 41029 27 586 0
2022-11-08 41002 30 586 0
2022-11-07 40972 21 586 1
2022-11-04 40951 20 585 0
2022-11-03 40931 55 585 0
2022-11-02 40876 33 585 0
2022-11-01 40843 52 585 1
2022-10-28 40791 15 584 1
2022-10-27 40776 48 583 0
2022-10-26 40728 82 583 2
2022-10-25 40646 64 581 0
2022-10-24 40582 70 581 1
2022-10-21 40512 48 580 0
2022-10-20 40464 66 580 0
2022-10-19 40398 87 580 0
2022-10-18 40311 83 580 0
2022-10-17 40228 103 580 0
2022-10-14 40125 65 580 0
2022-10-13 40060 98 580 1
2022-10-12 39962 112 579 0
2022-10-11 39850 75 579 2
2022-10-10 39775 145 577 3
2022-10-07 39630 103 574 0
2022-10-06 39527 159 574 2
2022-10-05 39368 91 572 0
2022-10-04 39277 134 572 1
2022-09-30 39143 53 571 0
2022-09-29 39090 93 571 0
2022-09-28 38997 94 571 1
2022-09-27 38903 95 570 1
2022-09-26 38808 101 569 1
2022-09-23 38707 58 568 0
2022-09-22 38649 75 568 1
2022-09-21 38574 87 567 0
2022-09-19 38487 30 567 0
2022-09-16 38457 30 567 0
2022-09-15 38427 36 567 0
2022-09-14 38391 60 567 1
2022-09-13 38331 31 566 0
2022-09-12 38300 40 566 0
2022-09-09 38260 40 566 0
2022-09-08 38220 41 566 0
2022-09-07 38179 48 566 1
2022-09-06 38131 52 565 0
2022-09-05 38079 33 565 0
2022-09-02 38046 14 565 0
2022-09-01 38032 39 565 0
2022-08-31 37993 28 565 0
2022-08-30 37965 29 565 1
2022-08-29 37936 36 564 0
2022-08-26 37900 6 564 0
2022-08-25 37894 22 564 0
2022-08-24 37872 28 564 0
2022-08-23 37844 32 564 0
2022-08-22 37812 30 564 2
2022-08-19 37782 19 562 0
2022-08-18 37763 32 562 0
2022-08-17 37731 36 562 0
2022-08-16 37695 36 562 1
2022-08-15 37659 44 561 1
2022-08-12 37615 29 560 0
2022-08-11 37586 43 560 0
2022-08-10 37543 40 560 2
2022-08-09 37503 53 558 1
2022-08-08 37450 43 557 0
2022-08-05 37407 32 557 1
2022-08-04 37375 35 556 1
2022-08-03 37340 42 555 0
2022-08-02 37298 41 555 0
2022-08-01 37257 58 555 0
2022-07-29 37199 32 555 1
2022-07-28 37167 46 554 0
2022-07-27 37121 69 554 0
2022-07-26 37052 73 554 1
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2022-07-21 36844 45 551 0
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2021-05-18 6611 25 288 0
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2021-05-10 6465 25 286 3
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2021-04-29 6165 69 273 0
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2021-03-01 4456 28 230 1
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2021-02-23 4349 20 223 1
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2021-02-19 4311 12 221 0
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2021-02-17 4280 16 221 0
2021-02-16 4264 18 221 1
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2021-02-12 4213 14 217 1
2021-02-11 4199 26 216 3
2021-02-10 4173 14 213 1
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2021-02-05 4107 9 209 0
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2021-02-01 4016 23 207 1
2021-01-29 3993 15 206 0
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2021-01-22 3810 61 199 1
2021-01-21 3749 63 198 3
2021-01-20 3686 69 195 2
2021-01-19 3617 84 193 6
2021-01-18 3533 81 187 3
2021-01-16 3452 8 184 1
2021-01-15 3444 61 183 2
2021-01-14 3383 91 181 5
2021-01-13 3292 102 176 4
2021-01-12 3190 114 172 2
2021-01-11 3076 136 170 12
2021-01-10 2940 5 158 0
2021-01-09 2935 13 158 0
2021-01-08 2922 82 158 5
2021-01-07 2840 174 153 7
2021-01-06 2666 100 146 6
2021-01-05 2566 110 140 9
2021-01-04 2456 72 131 5
2021-01-03 2384 4 126 1
2021-01-02 2380 23 125 1
2020-12-31 2357 15 124 0
2020-12-30 2342 95 124 8
2020-12-29 2247 113 116 10
2020-12-28 2134 38 106 10
2020-12-26 2096 20 96 4
2020-12-25 2076 21 92 2
2020-12-23 2055 86 90 5
2020-12-22 1969 139 85 7
2020-12-21 1830 88 78 3
2020-12-20 1742 7 75 0
2020-12-19 1735 7 75 0
2020-12-18 1728 89 75 11
2020-12-17 1639 105 64 8
2020-12-16 1534 83 56 2
2020-12-15 1451 84 54 3
2020-12-14 1367 86 51 6
2020-12-13 1281 4 45 0
2020-12-12 1277 13 45 0
2020-12-11 1264 40 45 0
2020-12-10 1224 83 45 3
2020-12-09 1141 48 42 3
2020-12-08 1093 81 39 3
2020-12-07 1012 50 36 4
2020-12-06 962 4 32 0
2020-12-05 958 8 32 0
2020-12-04 950 61 32 2
2020-12-03 889 67 30 3
2020-12-02 822 64 27 1
2020-12-01 758 49 26 2
2020-11-30 709 40 24 2
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2020-11-28 662 22 22 0
2020-11-27 640 20 22 1
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2020-11-25 598 30 20 0
2020-11-24 568 32 20 4
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2020-11-20 465 38 15 2
2020-11-19 427 28 13 3
2020-11-18 399 15 10 0
2020-11-17 384 4 10 0
2020-11-16 380 9 10 0
2020-11-15 371 3 10 0
2020-11-14 368 25 10 0
2020-11-13 343 12 10 1
2020-11-12 331 26 9 0
2020-11-11 305 12 9 0
2020-11-10 293 13 9 1
2020-11-09 280 4 8 0
2020-11-08 276 12 8 2
2020-11-07 264 9 6 0
2020-11-06 255 19 6 0
2020-11-05 236 23 6 2
2020-11-04 213 9 4 2
2020-11-03 204 15 2 0
2020-11-02 189 7 2 0
2020-11-01 182 1 2 0
2020-10-31 181 4 2 1
2020-10-30 177 6 1 1
2020-10-29 171 5 0 0
2020-10-28 166 8 0 0
2020-10-27 158 7 0 0
2020-10-26 151 2 0 0
2020-10-25 149 3 0 0
2020-10-23 146 6 0 0
2020-10-22 140 2 0 0
2020-10-21 138 6 0 0
2020-10-20 132 8 0 0
2020-10-19 124 1 0 0
2020-10-18 123 3 0 0
2020-10-16 120 3 0 0
2020-10-14 117 2 0 0
2020-10-13 115 1 0 0
2020-10-10 114 1 0 0
2020-10-08 113 2 0 0
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2020-10-05 110 1 0 0
2020-10-03 109 3 0 0
2020-10-02 106 2 0 0
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2020-09-30 101 6 0 0
2020-09-29 95 1 0 0
2020-09-28 94 1 0 0
2020-09-26 93 1 0 0
2020-09-25 92 3 0 0
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2020-09-18 84 2 0 0
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2020-06-22 72 1 0 0
2020-05-28 71 1 0 0
2020-05-27 70 1 0 0
2020-05-16 69 2 0 0
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2020-05-12 66 1 0 0
2020-05-07 65 1 0 0
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2020-04-28 63 4 0 0
2020-04-27 59 1 0 0
2020-04-24 58 1 0 0
2020-04-23 57 1 0 0
2020-04-21 56 2 0 0
2020-04-08 54 2 0 0
2020-04-07 52 1 0 0
2020-04-04 51 1 0 0
2020-04-03 50 2 0 0
2020-04-02 48 1 0 0
2020-04-01 47 4 0 0
2020-03-31 43 4 0 0
2020-03-30 39 1 0 0
2020-03-29 38 2 0 0
2020-03-28 36 3 0 0
2020-03-26 33 4 0 0
2020-03-25 29 7 0 0
2020-03-24 22 4 0 0
2020-03-23 18 1 0 0
2020-03-20 17 5 0 0
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2020-03-18 11 6 0 0

Explore the data in your web browser¶

  • If you want to execute this notebook, click here to use myBinder
  • and wait (~1 to 2 minutes)
  • Then press SHIFT+RETURN to advance code cell to code cell
  • See http://jupyter.org for more details on how to use Jupyter Notebook

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: 0:02:54.034868