Germany: LK Jerichower Land (Sachsen-Anhalt)¶

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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 15:36:25 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Jerichower Land", weeks=5);
2023-03-07T15:36:38.055995 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 80 80 90 90 100 100 110 110 7-day incidence rate (per 100K people) 77.4 LK Jerichower Land, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 10 20 30 40 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.00 0.25 0.50 0.75 1.00 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 R & growth factor (based on cases) Germany-LK Jerichower Land cases daily growth factor Germany-LK Jerichower Land cases daily growth factor (rolling mean) Germany-LK Jerichower Land estimated R (using cases) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.0 0.0 0.5 0.5 1.0 1.0 R & growth factor (based on deaths) Germany-LK Jerichower Land deaths daily growth factor Germany-LK Jerichower Land deaths daily growth factor (rolling mean) Germany-LK Jerichower Land estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 1000 2000 3000 4000 cases doubling time [days] Germany-LK Jerichower Land doubling time cases (rolling mean) 0.00 8.91 17.82 26.74 35.65 daily change Germany-LK Jerichower Land new cases (rolling 7d mean) Germany-LK Jerichower Land new cases 0.000 0.223 0.446 0.668 0.891 daily change Germany-LK Jerichower Land new deaths (rolling 7d mean) Germany-LK Jerichower Land new deaths 0.000 0.213 0.427 0.640 0.853
In [4]:
overview(country="Germany", subregion="LK Jerichower Land");
2023-03-07T15:36:55.208924 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) 77.4 LK Jerichower Land, 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 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 2 4 6 8 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 R & growth factor (based on cases) Germany-LK Jerichower Land cases daily growth factor Germany-LK Jerichower Land cases daily growth factor (rolling mean) Germany-LK Jerichower Land estimated R (using cases) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.0 0.0 0.5 0.5 1.0 1.0 R & growth factor (based on deaths) Germany-LK Jerichower Land deaths daily growth factor Germany-LK Jerichower Land deaths daily growth factor (rolling mean) Germany-LK Jerichower Land estimated R (using deaths) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 2000 4000 cases doubling time [days] Germany-LK Jerichower Land doubling time cases (rolling mean) Germany-LK Jerichower Land doubling time deaths (rolling mean) 0.0 178.2 356.5 534.7 daily change Germany-LK Jerichower Land new cases (rolling 7d mean) Germany-LK Jerichower Land new cases 0.000 1.782 3.565 5.347 7.129 daily change Germany-LK Jerichower Land new deaths (rolling 7d mean) Germany-LK Jerichower Land new deaths 0.0 73.4 146.8 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="LK Jerichower Land", dates="2020-03-15:");
2023-03-07T15:39:35.196653 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 Jerichower Land LK Jerichower Land 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 Jerichower Land Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="LK Jerichower Land")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Jerichower Land")
print(f'Population of country="Germany", subregion="LK Jerichower Land": {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 Jerichower Land": 89118 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-06 39550 13 242 0
2023-03-03 39537 7 242 0
2023-03-02 39530 8 242 0
2023-03-01 39522 14 242 0
2023-02-28 39508 27 242 0
2023-02-27 39481 17 242 0
2023-02-24 39464 13 242 0
2023-02-23 39451 13 242 0
2023-02-22 39438 11 242 0
2023-02-21 39427 29 242 0
2023-02-20 39398 16 242 0
2023-02-17 39382 6 242 0
2023-02-16 39376 12 242 0
2023-02-15 39364 19 242 0
2023-02-14 39345 30 242 0
2023-02-13 39315 21 242 0
2023-02-10 39294 12 242 0
2023-02-09 39282 17 242 0
2023-02-08 39265 13 242 0
2023-02-07 39252 17 242 0
2023-02-06 39235 11 242 0
2023-02-03 39224 15 242 1
2023-02-02 39209 9 241 0
2023-02-01 39200 18 241 0
2023-01-31 39182 38 241 0
2023-01-30 39144 20 241 0
2023-01-27 39124 5 241 0
2023-01-26 39119 12 241 0
2023-01-25 39107 10 241 0
2023-01-24 39097 19 241 0
2023-01-23 39078 8 241 0
2023-01-20 39070 11 241 0
2023-01-19 39059 7 241 0
2023-01-18 39052 5 241 0
2023-01-17 39047 15 241 0
2023-01-16 39032 8 241 0
2023-01-13 39024 6 241 0
2023-01-12 39018 8 241 0
2023-01-11 39010 9 241 0
2023-01-10 39001 20 241 0
2023-01-09 38981 26 241 0
2023-01-05 38955 16 241 0
2023-01-04 38939 35 241 0
2023-01-03 38904 40 241 0
2023-01-02 38864 34 241 0
2022-12-30 38830 31 241 0
2022-12-29 38799 36 241 1
2022-12-28 38763 51 240 0
2022-12-27 38712 45 240 0
2022-12-23 38667 24 240 0
2022-12-22 38643 19 240 0
2022-12-21 38624 41 240 0
2022-12-20 38583 68 240 1
2022-12-19 38515 38 239 1
2022-12-16 38477 29 238 0
2022-12-15 38448 39 238 1
2022-12-14 38409 38 237 2
2022-12-13 38371 63 235 0
2022-12-12 38308 31 235 0
2022-12-09 38277 25 235 0
2022-12-08 38252 28 235 0
2022-12-07 38224 31 235 1
2022-12-06 38193 61 234 0
2022-12-05 38132 30 234 0
2022-12-02 38102 36 234 0
2022-12-01 38066 27 234 0
2022-11-30 38039 42 234 2
2022-11-29 37997 68 232 1
2022-11-28 37929 33 231 0
2022-11-25 37896 31 231 2
2022-11-24 37865 29 229 0
2022-11-23 37836 29 229 0
2022-11-22 37807 37 229 1
2022-11-21 37770 27 228 0
2022-11-18 37743 30 228 0
2022-11-17 37713 41 228 1
2022-11-16 37672 29 227 0
2022-11-15 37643 49 227 0
2022-11-14 37594 36 227 0
2022-11-11 37558 23 227 0
2022-11-10 37535 44 227 1
2022-11-09 37491 31 226 0
2022-11-08 37460 103 226 0
2022-11-07 37357 45 226 0
2022-11-04 37312 51 226 0
2022-11-03 37261 55 226 0
2022-11-02 37206 105 226 0
2022-11-01 37101 85 226 1
2022-10-28 37016 66 225 0
2022-10-27 36950 84 225 0
2022-10-26 36866 100 225 0
2022-10-25 36766 182 225 0
2022-10-24 36584 106 225 0
2022-10-21 36478 51 225 0
2022-10-20 36427 115 225 1
2022-10-19 36312 137 224 0
2022-10-18 36175 263 224 0
2022-10-17 35912 137 224 0
2022-10-14 35775 108 224 0
2022-10-13 35667 126 224 1
2022-10-12 35541 155 223 0
2022-10-11 35386 232 223 0
2022-10-10 35154 211 223 1
2022-10-07 34943 52 222 0
2022-10-06 34891 307 222 0
2022-10-05 34584 92 222 0
2022-10-04 34492 113 222 0
2022-09-30 34379 84 222 0
2022-09-29 34295 81 222 0
2022-09-28 34214 156 222 0
2022-09-27 34058 160 222 1
2022-09-26 33898 65 221 0
2022-09-23 33833 67 221 0
2022-09-22 33766 61 221 0
2022-09-21 33705 55 221 0
2022-09-20 33650 95 221 0
2022-09-19 33555 51 221 0
2022-09-16 33504 25 221 0
2022-09-15 33479 43 221 0
2022-09-14 33436 35 221 0
2022-09-13 33401 59 221 1
2022-09-12 33342 36 220 0
2022-09-09 33306 21 220 0
2022-09-08 33285 23 220 0
2022-09-07 33262 22 220 0
2022-09-06 33240 47 220 0
2022-09-05 33193 29 220 0
2022-09-02 33164 27 220 0
2022-09-01 33137 22 220 0
2022-08-31 33115 17 220 0
2022-08-30 33098 61 220 0
2022-08-29 33037 35 220 0
2022-08-26 33002 22 220 0
2022-08-25 32980 32 220 1
2022-08-24 32948 31 219 0
2022-08-23 32917 51 219 0
2022-08-22 32866 51 219 0
2022-08-19 32815 39 219 0
2022-08-18 32776 32 219 0
2022-08-17 32744 39 219 0
2022-08-16 32705 90 219 0
2022-08-15 32615 58 219 0
2022-08-12 32557 31 219 0
2022-08-11 32526 36 219 0
2022-08-10 32490 37 219 0
2022-08-09 32453 67 219 0
2022-08-08 32386 46 219 0
2022-08-05 32340 26 219 0
2022-08-04 32314 33 219 0
2022-08-03 32281 55 219 0
2022-08-02 32226 86 219 0
2022-08-01 32140 63 219 0
2022-07-29 32077 42 219 0
2022-07-28 32035 68 219 0
2022-07-27 31967 97 219 0
2022-07-26 31870 157 219 0
2022-07-25 31713 88 219 0
2022-07-22 31625 69 219 0
2022-07-21 31556 78 219 0
2022-07-20 31478 82 219 0
2022-07-19 31396 148 219 0
2022-07-18 31248 89 219 0
2022-07-15 31159 60 219 0
2022-07-14 31099 70 219 0
2022-07-13 31029 80 219 0
2022-07-12 30949 156 219 2
2022-07-11 30793 75 217 0
2022-07-08 30718 60 217 0
2022-07-07 30658 65 217 0
2022-07-06 30593 120 217 0
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2022-07-04 30362 75 217 0
2022-07-01 30287 73 217 0
2022-06-30 30214 82 217 0
2022-06-29 30132 79 217 0
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2022-06-27 29902 71 217 0
2022-06-24 29831 58 217 0
2022-06-23 29773 74 217 0
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2022-06-21 29619 129 217 0
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2022-06-10 29221 55 217 0
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2022-06-08 29128 72 217 0
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2022-06-03 29017 15 217 0
2022-06-02 29002 20 217 0
2022-06-01 28982 28 217 0
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2022-05-30 28903 60 217 0
2022-05-25 28843 12 217 0
2022-05-24 28831 25 217 0
2022-05-23 28806 30 217 0
2022-05-20 28776 7 217 0
2022-05-19 28769 39 217 0
2022-05-18 28730 27 217 0
2022-05-17 28703 57 217 1
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2022-05-02 28135 84 216 1
2022-04-29 28051 49 215 0
2022-04-28 28002 57 215 1
2022-04-27 27945 51 214 2
2022-04-26 27894 145 212 0
2022-04-25 27749 102 212 0
2022-04-22 27647 91 212 1
2022-04-21 27556 110 211 0
2022-04-20 27446 217 211 0
2022-04-19 27229 166 211 1
2022-04-14 27063 113 210 0
2022-04-13 26950 127 210 1
2022-04-12 26823 172 209 1
2022-04-11 26651 122 208 0
2022-04-08 26529 99 208 0
2022-04-07 26430 99 208 0
2022-04-06 26331 109 208 0
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2022-03-31 25707 177 207 0
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2022-03-28 24976 319 207 0
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2022-03-24 24480 187 207 2
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2022-03-18 23101 227 205 1
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2021-03-04 2161 13 127 0
2021-03-03 2148 8 127 1
2021-03-02 2140 23 126 0
2021-03-01 2117 2 126 1
2021-02-28 2115 1 125 0
2021-02-27 2114 6 125 2
2021-02-26 2108 20 123 1
2021-02-25 2088 11 122 0
2021-02-24 2077 18 122 0
2021-02-23 2059 17 122 0
2021-02-22 2042 1 122 0
2021-02-21 2041 4 122 3
2021-02-20 2037 12 119 0
2021-02-19 2025 13 119 0
2021-02-18 2012 15 119 3
2021-02-17 1997 10 116 0
2021-02-16 1987 23 116 4
2021-02-14 1964 1 112 1
2021-02-13 1963 13 111 0
2021-02-12 1950 10 111 0
2021-02-11 1940 24 111 2
2021-02-10 1916 10 109 0
2021-02-09 1906 19 109 0
2021-02-08 1887 1 109 0
2021-02-07 1886 5 109 0
2021-02-06 1881 17 109 0
2021-02-05 1864 25 109 2
2021-02-04 1839 29 107 4
2021-02-03 1810 25 103 2
2021-02-02 1785 24 101 0
2021-02-01 1761 2 101 0
2021-01-31 1759 1 101 0
2021-01-30 1758 7 101 1
2021-01-29 1751 11 100 0
2021-01-28 1740 21 100 1
2021-01-27 1719 19 99 0
2021-01-26 1700 48 99 7
2021-01-25 1652 1 92 0
2021-01-24 1651 2 92 1
2021-01-23 1649 18 91 2
2021-01-22 1631 18 89 2
2021-01-21 1613 22 87 0
2021-01-20 1591 22 87 5
2021-01-19 1569 39 82 2
2021-01-18 1530 5 80 0
2021-01-17 1525 7 80 2
2021-01-16 1518 14 78 2
2021-01-15 1504 11 76 0
2021-01-14 1493 10 76 2
2021-01-13 1483 34 74 3
2021-01-12 1449 16 71 1
2021-01-11 1433 7 70 0
2021-01-10 1426 3 70 1
2021-01-09 1423 32 69 2
2021-01-08 1391 42 67 3
2021-01-07 1349 23 64 1
2021-01-06 1326 12 63 0
2021-01-05 1314 17 63 2
2021-01-04 1297 10 61 0
2021-01-03 1287 3 61 0
2021-01-02 1284 2 61 0
2021-01-01 1282 13 61 1
2020-12-31 1269 11 60 2
2020-12-30 1258 16 58 0
2020-12-29 1242 89 58 8
2020-12-28 1153 11 50 1
2020-12-27 1142 2 49 0
2020-12-26 1140 3 49 2
2020-12-25 1137 36 47 0
2020-12-24 1101 9 47 1
2020-12-23 1092 28 46 2
2020-12-22 1064 29 44 2
2020-12-21 1035 13 42 2
2020-12-20 1022 4 40 0
2020-12-19 1018 12 40 0
2020-12-18 1006 23 40 0
2020-12-17 983 56 40 2
2020-12-16 927 20 38 0
2020-12-15 907 12 38 1
2020-12-14 895 1 37 1
2020-12-13 894 5 36 0
2020-12-12 889 8 36 1
2020-12-11 881 28 35 0
2020-12-10 853 16 35 0
2020-12-09 837 14 35 1
2020-12-08 823 48 34 7
2020-12-07 775 4 27 0
2020-12-06 771 2 27 0
2020-12-05 769 18 27 1
2020-12-04 751 4 26 0
2020-12-03 747 22 26 1
2020-12-02 725 14 25 0
2020-12-01 711 27 25 2
2020-11-30 684 9 23 0
2020-11-28 675 15 23 0
2020-11-27 660 6 23 0
2020-11-26 654 20 23 0
2020-11-25 634 3 23 0
2020-11-24 631 24 23 0
2020-11-23 607 4 23 0
2020-11-22 603 7 23 1
2020-11-21 596 14 22 1
2020-11-20 582 38 21 1
2020-11-19 544 16 20 0
2020-11-18 528 32 20 3
2020-11-17 496 32 17 3
2020-11-16 464 7 14 2
2020-11-15 457 6 12 0
2020-11-14 451 12 12 0
2020-11-13 439 19 12 0
2020-11-12 420 24 12 1
2020-11-11 396 20 11 0
2020-11-10 376 32 11 2
2020-11-09 344 1 9 0
2020-11-08 343 5 9 2
2020-11-07 338 5 7 0
2020-11-06 333 16 7 1
2020-11-05 317 35 6 0
2020-11-04 282 19 6 1
2020-11-03 263 12 5 0
2020-11-02 251 7 5 1
2020-10-31 244 9 4 0
2020-10-30 235 12 4 1
2020-10-29 223 7 3 0
2020-10-28 216 20 3 0
2020-10-27 196 17 3 0
2020-10-26 179 3 3 1
2020-10-25 176 16 2 0
2020-10-24 160 9 2 0
2020-10-23 151 9 2 0
2020-10-22 142 6 2 0
2020-10-21 136 26 2 0
2020-10-20 110 2 2 0
2020-10-19 108 2 2 0
2020-10-18 106 7 2 0
2020-10-17 99 2 2 0
2020-10-16 97 15 2 0
2020-10-15 82 4 2 0
2020-10-14 78 2 2 0
2020-10-13 76 2 2 0
2020-10-07 74 2 2 0
2020-10-06 72 3 2 0
2020-10-05 69 2 2 0
2020-10-02 67 1 2 0
2020-09-25 66 2 2 0
2020-09-14 64 1 2 0
2020-09-03 63 2 2 0
2020-08-28 61 1 2 0
2020-08-27 60 3 2 0
2020-08-25 57 1 2 0
2020-08-23 56 2 2 0
2020-08-22 54 1 2 0
2020-08-12 53 1 2 0
2020-08-06 52 1 2 0
2020-08-04 51 2 2 0
2020-08-02 49 1 2 0
2020-07-28 48 2 2 0
2020-07-26 46 1 2 0
2020-07-21 45 4 2 0
2020-07-18 41 1 2 0
2020-07-15 40 1 2 0
2020-07-11 39 1 2 0
2020-07-10 38 1 2 0
2020-07-09 37 1 2 0
2020-07-05 36 2 2 0
2020-06-27 34 1 2 0
2020-05-25 33 1 2 0
2020-04-23 32 1 2 0
2020-04-17 31 1 2 0
2020-04-16 30 1 2 0
2020-04-14 29 1 2 0
2020-04-08 28 1 2 0
2020-04-07 27 1 2 0
2020-04-06 26 1 2 0
2020-04-04 25 3 2 1
2020-04-03 22 2 1 0
2020-03-31 20 2 1 0
2020-03-30 18 2 1 0
2020-03-26 16 3 1 0
2020-03-25 13 3 1 0
2020-03-24 10 3 1 1
2020-03-23 7 3 0 0
2020-03-20 4 1 0 0
2020-03-18 3 2 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: 0:03:39.484891