Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Austria of about 0.449% each day. That corresponds to a doubling of the numbers approx. every 150 days.
The graph above and the following table show the course of reported coronavirus infections in Austria assuming that the numbers are following an exponential trend without any slowdown.
14,300

14,500
+140 (+0.977%)
14,600
+119 (+0.822%)
14,700
+76 (+0.521%)
14,700
+78 (+0.532%)
14,800
+46 (+0.312%)
14,900
+78 (+0.527%)
14,900
+52 (+0.35%)
15,000
+77 (+0.516%)
15,100
+69 (+0.46%)
15,100
15,100  15,100
+65 (+0.433%)
15,200
15,200  15,200
+68 (+0.449%)
15,300
15,300  15,300
+68 (+0.449%)
15,300
15,300  15,400
+69 (+0.449%)
15,400
15,400  15,400
+69 (+0.449%)
15,500
15,500  15,500
+69 (+0.449%)
15,500
15,500  15,600
+70 (+0.449%)
15,600
15,600  15,600
+70 (+0.449%)
15,700
15,700  15,700
+70 (+0.449%)
15,800
15,700  15,800
+70 (+0.449%)
Using loglinear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Austria of about 2.56% each day. That corresponds to a doubling of the numbers approx. every 27 days.
The graph above and the following table show the course of reported deaths by coronavirus in Austria assuming that the numbers are following an exponential trend without any slowdown.
393

410
+17 (+4.33%)
431
+21 (+5.12%)
443
+12 (+2.78%)
452
+9 (+2.03%)
470
+18 (+3.98%)
491
+21 (+4.47%)
510
+19 (+3.87%)
522
+12 (+2.35%)
530
+8 (+1.53%)
546
540  553
+16 (+3.11%)
560
554  567
+14 (+2.56%)
575
568  581
+14 (+2.56%)
589
583  596
+15 (+2.56%)
605
598  612
+15 (+2.56%)
620
613  627
+15 (+2.56%)
636
629  643
+16 (+2.56%)
652
645  660
+16 (+2.56%)
669
661  677
+17 (+2.56%)
686
678  694
+17 (+2.56%)
In Austria, approx. 0.96% of the population die each year. With a population of roughly 8,850,000 people in Austria, that corresponds to about 233 deaths per day on the statistical average.
The graph above shows the reported daily deaths by coronavirus in contrast to the statistical number as baseline.
To estimate the mortality rate of coronavirus infections, we need to consider that a reported death already showed up in the reported cases a few days before. It is presumed that this lag is between 7 and 14 days. If we assumed that the lag was about 7 days, the mortality rate in Austria would be approx. 3.6%.
The graph aboves shows the mortality depending on different presumed lag.
The graph above shows the daily increase of reported coronavirus infections in Austria in the previous days.
The graph shows the daily increase of reported deaths by coronavirus in Austria in the previous days.
The graph tries to predict the number of required intensive care units in Austria. We assume the following:
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Burgenland of about 0.106% each day. That corresponds to a doubling of the numbers approx. every 660 days.
The graph above and the following table show the course of reported coronavirus infections in Burgenland assuming that the numbers are following an exponential trend without any slowdown.
311

313
+2 (+0.643%)
313
+0 (+0%)
314
+1 (+0.319%)
314
+0 (+0%)
314
+0 (+0%)
315
+1 (+0.318%)
315
+0 (+0%)
315
+0 (+0%)
316
+1 (+0.317%)
316
315  316
+0 (+0.106%)
316
315  317
+0 (+0.106%)
316
316  317
+0 (+0.106%)
317
316  317
+0 (+0.106%)
317
316  318
+0 (+0.106%)
317
317  318
+0 (+0.106%)
318
317  318
+0 (+0.106%)
318
317  319
+0 (+0.106%)
318
318  319
+0 (+0.106%)
319
318  320
+0 (+0.106%)
The graph above shows the daily increase of reported coronavirus infections in Burgenland in the previous days.
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Kärnten of about 0.166% each day. That corresponds to a doubling of the numbers approx. every 420 days.
The graph above and the following table show the course of reported coronavirus infections in Kärnten assuming that the numbers are following an exponential trend without any slowdown.
402

402
+0 (+0%)
402
+0 (+0%)
402
+0 (+0%)
402
+0 (+0%)
402
+0 (+0%)
402
+0 (+0%)
402
+0 (+0%)
402
+0 (+0%)
404
+2 (+0.498%)
403
402  405
+0 (+0.165%)
404
402  406
+0 (+0.166%)
405
403  406
+0 (+0.166%)
405
404  407
+0 (+0.166%)
406
404  408
+0 (+0.166%)
407
405  408
+0 (+0.166%)
407
406  409
+0 (+0.166%)
408
406  410
+0 (+0.166%)
409
407  410
+0 (+0.166%)
409
408  411
+0 (+0.166%)
The graph above shows the daily increase of reported coronavirus infections in Kärnten in the previous days.
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Niederösterreich of about 0.118% each day. That corresponds to a doubling of the numbers approx. every 590 days.
The graph above and the following table show the course of reported coronavirus infections in Niederösterreich assuming that the numbers are following an exponential trend without any slowdown.
2,520

2,530
+10 (+0.397%)
2,530
+0 (+0%)
2,530
+2 (+0.0791%)
2,530
+2 (+0.079%)
2,530
+0 (+0%)
2,550
+13 (+0.513%)
2,550
+1 (+0.0393%)
2,550
+0 (+0%)
2,550
+6 (+0.236%)
2,550
2,550  2,560
+0 (+0.0392%)
2,560
2,550  2,560
+3 (+0.118%)
2,560
2,550  2,560
+3 (+0.118%)
2,560
2,560  2,570
+3 (+0.118%)
2,560
2,560  2,570
+3 (+0.118%)
2,570
2,560  2,570
+3 (+0.118%)
2,570
2,570  2,580
+3 (+0.118%)
2,570
2,570  2,580
+3 (+0.118%)
2,580
2,570  2,580
+3 (+0.118%)
2,580
2,570  2,580
+3 (+0.118%)
The graph above shows the daily increase of reported coronavirus infections in Niederösterreich in the previous days.
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Oberösterreich of about 0.284% each day. That corresponds to a doubling of the numbers approx. every 240 days.
The graph above and the following table show the course of reported coronavirus infections in Oberösterreich assuming that the numbers are following an exponential trend without any slowdown.
2,220

2,220
+1 (+0.0451%)
2,220
+0 (+0%)
2,220
+3 (+0.135%)
2,230
+8 (+0.36%)
2,230
+0 (+0%)
2,230
+2 (+0.0897%)
2,240
+6 (+0.269%)
2,240
+0 (+0%)
2,240
+1 (+0.0447%)
2,240
2,240  2,250
+6 (+0.254%)
2,250
2,250  2,250
+6 (+0.284%)
2,260
2,260  2,260
+6 (+0.284%)
2,260
2,260  2,260
+6 (+0.284%)
2,270
2,270  2,270
+6 (+0.284%)
2,280
2,280  2,280
+6 (+0.284%)
2,280
2,280  2,280
+6 (+0.284%)
2,290
2,290  2,290
+6 (+0.284%)
2,300
2,300  2,300
+6 (+0.284%)
2,300
2,300  2,300
+7 (+0.284%)
The graph above shows the daily increase of reported coronavirus infections in Oberösterreich in the previous days.
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Salzburg of about 0.138% each day. That corresponds to a doubling of the numbers approx. every 500 days.
The graph above and the following table show the course of reported coronavirus infections in Salzburg assuming that the numbers are following an exponential trend without any slowdown.
1,210

1,200
+1 (+0.083%)
1,200
+0 (+0%)
1,210
+2 (+0.166%)
1,210
+0 (+0%)
1,210
+0 (+0%)
1,210
+1 (+0.0829%)
1,210
+1 (+0.0829%)
1,210
+0 (+0%)
1,210
+2 (+0.166%)
1,210
1,210  1,210
+0 (+0.0277%)
1,210
1,210  1,210
+2 (+0.138%)
1,210
1,210  1,220
+2 (+0.138%)
1,220
1,210  1,220
+2 (+0.138%)
1,220
1,220  1,220
+2 (+0.138%)
1,220
1,220  1,220
+2 (+0.138%)
1,220
1,220  1,220
+2 (+0.138%)
1,220
1,220  1,220
+2 (+0.138%)
1,220
1,220  1,230
+2 (+0.138%)
1,230
1,220  1,230
+2 (+0.138%)
The graph above shows the daily increase of reported coronavirus infections in Salzburg in the previous days.
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Steiermark of about 0.626% each day. That corresponds to a doubling of the numbers approx. every 110 days.
The graph above and the following table show the course of reported coronavirus infections in Steiermark assuming that the numbers are following an exponential trend without any slowdown.
1,680

1,690
+7 (+0.417%)
1,690
+0 (+0%)
1,690
+7 (+0.415%)
1,700
+4 (+0.236%)
1,700
+0 (+0%)
1,700
+3 (+0.177%)
1,710
+5 (+0.294%)
1,710
+0 (+0%)
1,720
+17 (+0.997%)
1,720
1,710  1,740
+0 (+0.037%)
1,730
1,720  1,750
+11 (+0.626%)
1,740
1,730  1,760
+11 (+0.626%)
1,750
1,740  1,770
+11 (+0.626%)
1,760
1,750  1,780
+11 (+0.626%)
1,780
1,760  1,790
+11 (+0.626%)
1,790
1,770  1,800
+11 (+0.626%)
1,800
1,780  1,810
+11 (+0.626%)
1,810
1,790  1,820
+11 (+0.626%)
1,820
1,810  1,840
+11 (+0.626%)
The graph above shows the daily increase of reported coronavirus infections in Steiermark in the previous days.
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Tirol of about 0.231% each day. That corresponds to a doubling of the numbers approx. every 300 days.
The graph above and the following table show the course of reported coronavirus infections in Tirol assuming that the numbers are following an exponential trend without any slowdown.
3,440

3,440
+1 (+0.0291%)
3,440
+0 (+0%)
3,450
+4 (+0.116%)
3,450
+1 (+0.029%)
3,450
+0 (+0%)
3,460
+11 (+0.319%)
3,460
+6 (+0.174%)
3,460
+0 (+0%)
3,470
+6 (+0.173%)
3,470
3,470  3,480
+4 (+0.116%)
3,480
3,480  3,490
+8 (+0.231%)
3,490
3,480  3,490
+8 (+0.231%)
3,500
3,490  3,500
+8 (+0.231%)
3,510
3,500  3,510
+8 (+0.231%)
3,510
3,510  3,520
+8 (+0.231%)
3,520
3,520  3,530
+8 (+0.231%)
3,530
3,520  3,530
+8 (+0.231%)
3,540
3,530  3,540
+8 (+0.231%)
3,550
3,540  3,550
+8 (+0.231%)
The graph above shows the daily increase of reported coronavirus infections in Tirol in the previous days.
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Vorarlberg of about 7.76e9% each day. That corresponds to a doubling of the numbers approx. every 8,900,000,000 days.
The graph above and the following table show the course of reported coronavirus infections in Vorarlberg assuming that the numbers are following an exponential trend without any slowdown.
868

868
+0 (+0%)
868
+0 (+0%)
869
+1 (+0.115%)
869
+0 (+0%)
869
+0 (+0%)
868
+1 (+0.115%)
868
+0 (+0%)
868
+0 (+0%)
868
+0 (+0%)
868
868  868
+0 (+9.7e9%)
868
868  868
+0 (+7.76e9%)
868
868  868
+0 (+7.76e9%)
868
868  868
+0 (+7.76e9%)
868
868  868
+0 (+7.76e9%)
868
868  868
+0 (+7.76e9%)
868
868  868
+0 (+7.76e9%)
868
868  868
+0 (+7.76e9%)
868
868  868
+0 (+7.76e9%)
868
868  868
+0 (+7.76e9%)
The graph above shows the daily increase of reported coronavirus infections in Vorarlberg in the previous days.
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Wien of about 0.706% each day. That corresponds to a doubling of the numbers approx. every 98 days.
The graph above and the following table show the course of reported coronavirus infections in Wien assuming that the numbers are following an exponential trend without any slowdown.
2,250

2,270
+23 (+1.02%)
2,270
+0 (+0%)
2,280
+11 (+0.485%)
2,290
+9 (+0.395%)
2,290
+0 (+0%)
2,310
+21 (+0.917%)
2,320
+12 (+0.519%)
2,320
+0 (+0%)
2,340
+13 (+0.56%)
2,340
2,330  2,350
+8 (+0.332%)
2,360
2,350  2,370
+17 (+0.706%)
2,380
2,370  2,390
+17 (+0.706%)
2,390
2,380  2,400
+17 (+0.706%)
2,410
2,400  2,420
+17 (+0.706%)
2,430
2,420  2,440
+17 (+0.706%)
2,440
2,430  2,460
+17 (+0.706%)
2,460
2,450  2,470
+17 (+0.706%)
2,480
2,470  2,490
+17 (+0.706%)
2,500
2,490  2,510
+18 (+0.706%)
The graph above shows the daily increase of reported coronavirus infections in Wien in the previous days.
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