Coronavirus in France

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DISCLAIMER ✋

The estimates and predictions presented here are based partially on speculative mathematical models. All statements without guarantee!

How were the past few days in France and how could it go on?

Coronavirus infections

160,000Apr 24135,000Apr 15164,000May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in France of about 0.271% each day. That corresponds to a doubling of the numbers approx. every 260 days.

The graph above and the following table show the course of reported coronavirus infections in France assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

135,000

-

Apr 16

147,000

+12,500 (+9.29%)

Apr 17

149,000

+2,040 (+1.39%)

Apr 18

149,000

+19 (+0.0127%)

Apr 19

154,000

+4,950 (+3.32%)

Apr 20

156,000

+2,380 (+1.55%)

Apr 21

159,000

+2,820 (+1.8%)

Apr 22

157,000

+-2,170 (+-1.36%)

Apr 23

159,000

+2,340 (+1.49%)

Apr 24

160,000

+492 (+0.309%)

Apr 25

160,000
158,000 - 162,000

+82 (+0.0511%)

Apr 26

160,000
159,000 - 162,000

+434 (+0.271%)

Apr 27

161,000
159,000 - 163,000

+435 (+0.271%)

Apr 28

161,000
159,000 - 163,000

+436 (+0.271%)

Apr 29

162,000
160,000 - 164,000

+437 (+0.271%)

Apr 30

162,000
160,000 - 164,000

+438 (+0.271%)

May 1

163,000
161,000 - 165,000

+440 (+0.271%)

May 2

163,000
161,000 - 165,000

+441 (+0.271%)

May 3

164,000
162,000 - 166,000

+442 (+0.271%)

May 4

164,000
162,000 - 166,000

+443 (+0.271%)

Deaths by coronavirus

22,300Apr 2417,200Apr 1528,000May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in France of about 2.28% each day. That corresponds to a doubling of the numbers approx. every 31 days.

The graph above and the following table show the course of reported deaths by coronavirus in France assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

17,200

-

Apr 16

17,900

+753 (+4.38%)

Apr 17

18,700

+762 (+4.25%)

Apr 18

19,300

+642 (+3.43%)

Apr 19

19,700

+399 (+2.06%)

Apr 20

20,300

+548 (+2.78%)

Apr 21

20,800

+537 (+2.65%)

Apr 22

21,400

+544 (+2.61%)

Apr 23

21,900

+516 (+2.41%)

Apr 24

22,300

+390 (+1.78%)

Apr 25

22,800
22,700 - 22,900

+560 (+2.51%)

Apr 26

23,400
23,300 - 23,500

+521 (+2.28%)

Apr 27

23,900
23,800 - 24,000

+533 (+2.28%)

Apr 28

24,400
24,300 - 24,500

+546 (+2.28%)

Apr 29

25,000
24,900 - 25,100

+558 (+2.28%)

Apr 30

25,600
25,500 - 25,700

+571 (+2.28%)

May 1

26,200
26,000 - 26,300

+584 (+2.28%)

May 2

26,700
26,600 - 26,900

+597 (+2.28%)

May 3

27,400
27,200 - 27,500

+611 (+2.28%)

May 4

28,000
27,900 - 28,100

+625 (+2.28%)

What is the mortality rate in France?

Deaths by coronavirus versus statistical death rate

1,7101,440753762642399548537544516390Apr 15Apr 24)}

In France, approx. 0.93% of the population die each year. With a population of roughly 67,000,000 people in France, that corresponds to about 1,710 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.

Coronavirus mortality rate with time-lag correction

14%14%14%14%14%14%15%15%15%17%17%16%17%17%18%0 days14 days)}

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 France would be approx. 15%.

The graph aboves shows the mortality depending on different presumed lag.

What was the daily increase in the last days in France?

Coronavirus infections

2.45%9.29%1.39%0.0127%3.32%1.55%1.8%-1.36%1.49%0.309%Apr 15Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in France in the previous days.

Deaths by coronavirus

9.14%4.38%4.25%3.43%2.06%2.78%2.65%2.61%2.41%1.78%Apr 15Apr 24)}

The graph shows the daily increase of reported deaths by coronavirus in France in the previous days.

How could the occupation of intensive care beds in France develop?

High standardMedium standard443Apr 25

The graph tries to predict the number of required intensive care units in France. We assume the following:

  • The exponential trend of the past few days has continued and reported cases are active for around 12 days. 2% of active cases are so critical that an intensive care bed is required.
  • High standard: There are 30 intensive care beds per 100,000 inhabitants (20,100 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (10,000 total).

Coronavirus in Auvergne-Rhône-Alpes

How were the past few days in Auvergne-Rhône-Alpes and how could it go on?

Coronavirus infections

2,090Mar 25710Mar 175,260Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Auvergne-Rhône-Alpes of about 9.75% each day. That corresponds to a doubling of the numbers approx. every 7.5 days.

The graph above and the following table show the course of reported coronavirus infections in Auvergne-Rhône-Alpes assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

710

-

Mar 18

858

+148 (+20.8%)

Mar 19

1,010

+156 (+18.2%)

Mar 20

1,100

+87 (+8.58%)

Mar 21

1,270

+165 (+15%)

Mar 22

1,430

+165 (+13%)

Mar 23

1,730

+299 (+20.9%)

Mar 23

1,730

+0 (+0%)

Mar 24

1,860

+127 (+7.34%)

Mar 25

2,090

+236 (+12.7%)

Mar 26

2,280
2,230 - 2,320

+184 (+8.78%)

Mar 27

2,500
2,450 - 2,550

+222 (+9.75%)

Mar 28

2,740
2,690 - 2,800

+244 (+9.75%)

Mar 29

3,010
2,950 - 3,070

+267 (+9.75%)

Mar 30

3,300
3,230 - 3,370

+293 (+9.75%)

Mar 31

3,620
3,550 - 3,700

+322 (+9.75%)

Apr 1

3,980
3,900 - 4,060

+353 (+9.75%)

Apr 2

4,370
4,280 - 4,460

+388 (+9.75%)

Apr 3

4,790
4,690 - 4,890

+426 (+9.75%)

Apr 4

5,260
5,150 - 5,370

+467 (+9.75%)

What was the daily increase in the last days in Auvergne-Rhône-Alpes?

Coronavirus infections

14.9%20.8%18.2%8.58%15%13%20.9%0%7.34%12.7%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Auvergne-Rhône-Alpes in the previous days.

Coronavirus in Bourgogne-Franche-Comté

How were the past few days in Bourgogne-Franche-Comté and how could it go on?

Coronavirus infections

1,570Mar 25549Mar 173,530Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Bourgogne-Franche-Comté of about 8.3% each day. That corresponds to a doubling of the numbers approx. every 8.7 days.

The graph above and the following table show the course of reported coronavirus infections in Bourgogne-Franche-Comté assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

549

-

Mar 18

593

+44 (+8.01%)

Mar 19

696

+103 (+17.4%)

Mar 20

770

+74 (+10.6%)

Mar 21

903

+133 (+17.3%)

Mar 22

1,180

+275 (+30.5%)

Mar 23

1,350

+169 (+14.3%)

Mar 23

1,350

+0 (+0%)

Mar 24

1,510

+163 (+12.1%)

Mar 25

1,570

+59 (+3.91%)

Mar 26

1,720
1,670 - 1,780

+154 (+9.8%)

Mar 27

1,870
1,810 - 1,930

+143 (+8.3%)

Mar 28

2,020
1,960 - 2,090

+155 (+8.3%)

Mar 29

2,190
2,120 - 2,260

+168 (+8.3%)

Mar 30

2,370
2,290 - 2,450

+182 (+8.3%)

Mar 31

2,570
2,480 - 2,650

+197 (+8.3%)

Apr 1

2,780
2,690 - 2,870

+213 (+8.3%)

Apr 2

3,010
2,910 - 3,110

+231 (+8.3%)

Apr 3

3,260
3,160 - 3,370

+250 (+8.3%)

Apr 4

3,530
3,420 - 3,650

+271 (+8.3%)

What was the daily increase in the last days in Bourgogne-Franche-Comté?

Coronavirus infections

8.28%8.01%17.4%10.6%17.3%30.5%14.3%0%12.1%3.91%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Bourgogne-Franche-Comté in the previous days.

Coronavirus in Bretagne

How were the past few days in Bretagne and how could it go on?

Coronavirus infections

603Mar 25247Mar 171,630Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Bretagne of about 10.6% each day. That corresponds to a doubling of the numbers approx. every 6.9 days.

The graph above and the following table show the course of reported coronavirus infections in Bretagne assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

247

-

Mar 18

273

+26 (+10.5%)

Mar 19

297

+24 (+8.79%)

Mar 20

346

+49 (+16.5%)

Mar 21

359

+13 (+3.76%)

Mar 22

397

+38 (+10.6%)

Mar 23

490

+93 (+23.4%)

Mar 23

490

+0 (+0%)

Mar 24

526

+36 (+7.35%)

Mar 25

603

+77 (+14.6%)

Mar 26

659
641 - 678

+56 (+9.29%)

Mar 27

729
709 - 750

+70 (+10.6%)

Mar 28

806
784 - 829

+77 (+10.6%)

Mar 29

892
867 - 917

+85 (+10.6%)

Mar 30

986
959 - 1,010

+95 (+10.6%)

Mar 31

1,090
1,060 - 1,120

+105 (+10.6%)

Apr 1

1,210
1,170 - 1,240

+116 (+10.6%)

Apr 2

1,330
1,300 - 1,370

+128 (+10.6%)

Apr 3

1,480
1,430 - 1,520

+141 (+10.6%)

Apr 4

1,630
1,590 - 1,680

+156 (+10.6%)

What was the daily increase in the last days in Bretagne?

Coronavirus infections

6.01%10.5%8.79%16.5%3.76%10.6%23.4%0%7.35%14.6%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Bretagne in the previous days.

Coronavirus in Centre-Val de Loire

How were the past few days in Centre-Val de Loire and how could it go on?

Coronavirus infections

561Mar 25103Mar 175,080Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Centre-Val de Loire of about 24.7% each day. That corresponds to a doubling of the numbers approx. every 3.1 days.

The graph above and the following table show the course of reported coronavirus infections in Centre-Val de Loire assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

103

-

Mar 18

128

+25 (+24.3%)

Mar 19

157

+29 (+22.7%)

Mar 20

219

+62 (+39.5%)

Mar 21

254

+35 (+16%)

Mar 22

291

+37 (+14.6%)

Mar 23

361

+70 (+24.1%)

Mar 23

361

+0 (+0%)

Mar 24

450

+89 (+24.7%)

Mar 25

561

+111 (+24.7%)

Mar 26

699
699 - 699

+138 (+24.7%)

Mar 27

872
872 - 872

+172 (+24.7%)

Mar 28

1,090
1,090 - 1,090

+215 (+24.7%)

Mar 29

1,350
1,350 - 1,350

+268 (+24.7%)

Mar 30

1,690
1,690 - 1,690

+334 (+24.7%)

Mar 31

2,110
2,110 - 2,110

+416 (+24.7%)

Apr 1

2,620
2,620 - 2,620

+519 (+24.7%)

Apr 2

3,270
3,270 - 3,270

+647 (+24.7%)

Apr 3

4,080
4,080 - 4,080

+807 (+24.7%)

Apr 4

5,080
5,080 - 5,080

+1,010 (+24.7%)

What was the daily increase in the last days in Centre-Val de Loire?

Coronavirus infections

14.4%24.3%22.7%39.5%16%14.6%24.1%0%24.7%24.7%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Centre-Val de Loire in the previous days.

Coronavirus in Corse

How were the past few days in Corse and how could it go on?

Coronavirus infections

225Mar 25145Mar 17496Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Corse of about 8.07% each day. That corresponds to a doubling of the numbers approx. every 8.9 days.

The graph above and the following table show the course of reported coronavirus infections in Corse assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

145

-

Mar 18

152

+7 (+4.83%)

Mar 19

162

+10 (+6.58%)

Mar 20

168

+6 (+3.7%)

Mar 21

173

+5 (+2.98%)

Mar 22

183

+10 (+5.78%)

Mar 23

194

+11 (+6.01%)

Mar 23

194

+0 (+0%)

Mar 24

217

+23 (+11.9%)

Mar 25

225

+8 (+3.69%)

Mar 26

247
239 - 255

+22 (+9.57%)

Mar 27

266
258 - 275

+20 (+8.07%)

Mar 28

288
279 - 297

+21 (+8.07%)

Mar 29

311
301 - 321

+23 (+8.07%)

Mar 30

336
326 - 347

+25 (+8.07%)

Mar 31

363
352 - 375

+27 (+8.07%)

Apr 1

393
380 - 406

+29 (+8.07%)

Apr 2

424
411 - 438

+32 (+8.07%)

Apr 3

459
444 - 474

+34 (+8.07%)

Apr 4

496
480 - 512

+37 (+8.07%)

What was the daily increase in the last days in Corse?

Coronavirus infections

15.1%4.83%6.58%3.7%2.98%5.78%6.01%0%11.9%3.69%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Corse in the previous days.

Coronavirus in Grand Est

How were the past few days in Grand Est and how could it go on?

Coronavirus infections

5,480Mar 251,820Mar 1719,800Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Grand Est of about 13.7% each day. That corresponds to a doubling of the numbers approx. every 5.4 days.

The graph above and the following table show the course of reported coronavirus infections in Grand Est assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

1,820

-

Mar 18

2,160

+343 (+18.8%)

Mar 19

2,640

+480 (+22.2%)

Mar 20

3,010

+363 (+13.7%)

Mar 21

3,090

+83 (+2.76%)

Mar 22

3,400

+306 (+9.91%)

Mar 23

4,260

+861 (+25.4%)

Mar 23

4,260

+0 (+0%)

Mar 24

4,920

+666 (+15.6%)

Mar 25

5,480

+557 (+11.3%)

Mar 26

6,270
6,170 - 6,370

+792 (+14.5%)

Mar 27

7,130
7,010 - 7,240

+857 (+13.7%)

Mar 28

8,100
7,970 - 8,230

+974 (+13.7%)

Mar 29

9,210
9,060 - 9,360

+1,110 (+13.7%)

Mar 30

10,500
10,300 - 10,600

+1,260 (+13.7%)

Mar 31

11,900
11,700 - 12,100

+1,430 (+13.7%)

Apr 1

13,500
13,300 - 13,700

+1,620 (+13.7%)

Apr 2

15,400
15,100 - 15,600

+1,850 (+13.7%)

Apr 3

17,500
17,200 - 17,800

+2,100 (+13.7%)

Apr 4

19,800
19,500 - 20,200

+2,390 (+13.7%)

What was the daily increase in the last days in Grand Est?

Coronavirus infections

18%18.8%22.2%13.7%2.76%9.91%25.4%0%15.6%11.3%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Grand Est in the previous days.

Coronavirus in Guadeloupe

How were the past few days in Guadeloupe and how could it go on?

Coronavirus infections

76Mar 2527Mar 17227Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Guadeloupe of about 11.3% each day. That corresponds to a doubling of the numbers approx. every 6.5 days.

The graph above and the following table show the course of reported coronavirus infections in Guadeloupe assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

27

-

Mar 18

33

+6 (+22.2%)

Mar 19

45

+12 (+36.4%)

Mar 20

51

+6 (+13.3%)

Mar 21

56

+5 (+9.8%)

Mar 22

58

+2 (+3.57%)

Mar 23

62

+4 (+6.9%)

Mar 23

62

+0 (+0%)

Mar 24

73

+11 (+17.7%)

Mar 25

76

+3 (+4.11%)

Mar 26

87
82 - 91

+11 (+13.9%)

Mar 27

96
91 - 102

+10 (+11.3%)

Mar 28

107
102 - 113

+11 (+11.3%)

Mar 29

119
113 - 126

+12 (+11.3%)

Mar 30

133
126 - 140

+14 (+11.3%)

Mar 31

148
140 - 156

+15 (+11.3%)

Apr 1

165
156 - 174

+17 (+11.3%)

Apr 2

184
174 - 193

+19 (+11.3%)

Apr 3

204
194 - 215

+21 (+11.3%)

Apr 4

227
216 - 240

+23 (+11.3%)

What was the daily increase in the last days in Guadeloupe?

Coronavirus infections

50%22.2%36.4%13.3%9.8%3.57%6.9%0%17.7%4.11%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Guadeloupe in the previous days.

Coronavirus in Guyane

How were the past few days in Guyane and how could it go on?

Coronavirus infections

28Mar 2511Mar 17145Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Guyane of about 18% each day. That corresponds to a doubling of the numbers approx. every 4.2 days.

The graph above and the following table show the course of reported coronavirus infections in Guyane assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

11

-

Mar 18

11

+0 (+0%)

Mar 19

15

+4 (+36.4%)

Mar 20

15

+0 (+0%)

Mar 21

18

+3 (+20%)

Mar 22

19

+1 (+5.56%)

Mar 23

20

+1 (+5.26%)

Mar 23

20

+0 (+0%)

Mar 24

23

+3 (+15%)

Mar 25

28

+5 (+21.7%)

Mar 26

33
32 - 34

+5 (+16.8%)

Mar 27

39
38 - 40

+6 (+18%)

Mar 28

46
44 - 47

+7 (+18%)

Mar 29

54
52 - 55

+8 (+18%)

Mar 30

63
62 - 65

+10 (+18%)

Mar 31

75
73 - 77

+11 (+18%)

Apr 1

88
86 - 91

+13 (+18%)

Apr 2

104
102 - 107

+16 (+18%)

Apr 3

123
120 - 126

+19 (+18%)

Apr 4

145
142 - 149

+22 (+18%)

What was the daily increase in the last days in Guyane?

Coronavirus infections

0%0%36.4%0%20%5.56%5.26%0%15%21.7%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Guyane in the previous days.

Coronavirus in Hauts-de-France

How were the past few days in Hauts-de-France and how could it go on?

Coronavirus infections

1,750Mar 25612Mar 179,120Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Hauts-de-France of about 17.8% each day. That corresponds to a doubling of the numbers approx. every 4.2 days.

The graph above and the following table show the course of reported coronavirus infections in Hauts-de-France assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

612

-

Mar 18

665

+53 (+8.66%)

Mar 19

700

+35 (+5.26%)

Mar 20

759

+59 (+8.43%)

Mar 21

791

+32 (+4.22%)

Mar 22

936

+145 (+18.3%)

Mar 23

1,270

+333 (+35.6%)

Mar 23

1,270

+0 (+0%)

Mar 24

1,530

+263 (+20.7%)

Mar 25

1,750

+221 (+14.4%)

Mar 26

2,090
2,040 - 2,130

+333 (+19%)

Mar 27

2,460
2,400 - 2,510

+372 (+17.8%)

Mar 28

2,900
2,830 - 2,960

+438 (+17.8%)

Mar 29

3,410
3,330 - 3,490

+516 (+17.8%)

Mar 30

4,020
3,930 - 4,110

+608 (+17.8%)

Mar 31

4,740
4,630 - 4,840

+716 (+17.8%)

Apr 1

5,580
5,450 - 5,710

+844 (+17.8%)

Apr 2

6,570
6,420 - 6,720

+994 (+17.8%)

Apr 3

7,740
7,570 - 7,920

+1,170 (+17.8%)

Apr 4

9,120
8,920 - 9,340

+1,380 (+17.8%)

What was the daily increase in the last days in Hauts-de-France?

Coronavirus infections

4.62%8.66%5.26%8.43%4.22%18.3%35.6%0%20.7%14.4%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Hauts-de-France in the previous days.

Coronavirus in Ile-de-France

How were the past few days in Ile-de-France and how could it go on?

Coronavirus infections

7,660Mar 252,180Mar 1721,500Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Ile-de-France of about 10.9% each day. That corresponds to a doubling of the numbers approx. every 6.7 days.

The graph above and the following table show the course of reported coronavirus infections in Ile-de-France assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

2,180

-

Mar 18

2,690

+516 (+23.7%)

Mar 19

3,380

+691 (+25.7%)

Mar 20

3,820

+434 (+12.8%)

Mar 21

4,700

+877 (+23%)

Mar 22

5,280

+588 (+12.5%)

Mar 23

6,210

+928 (+17.6%)

Mar 23

6,210

+0 (+0%)

Mar 24

6,800

+587 (+9.45%)

Mar 25

7,660

+862 (+12.7%)

Mar 26

8,450
8,350 - 8,560

+791 (+10.3%)

Mar 27

9,370
9,260 - 9,490

+922 (+10.9%)

Mar 28

10,400
10,300 - 10,500

+1,020 (+10.9%)

Mar 29

11,500
11,400 - 11,700

+1,130 (+10.9%)

Mar 30

12,800
12,600 - 12,900

+1,260 (+10.9%)

Mar 31

14,200
14,000 - 14,400

+1,390 (+10.9%)

Apr 1

15,700
15,500 - 15,900

+1,550 (+10.9%)

Apr 2

17,400
17,200 - 17,700

+1,720 (+10.9%)

Apr 3

19,300
19,100 - 19,600

+1,900 (+10.9%)

Apr 4

21,500
21,200 - 21,700

+2,110 (+10.9%)

What was the daily increase in the last days in Ile-de-France?

Coronavirus infections

23.6%23.7%25.7%12.8%23%12.5%17.6%0%9.45%12.7%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Ile-de-France in the previous days.

Coronavirus in La Réunion

How were the past few days in La Réunion and how could it go on?

Coronavirus infections

94Mar 2512Mar 17390Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in La Réunion of about 15.2% each day. That corresponds to a doubling of the numbers approx. every 4.9 days.

The graph above and the following table show the course of reported coronavirus infections in La Réunion assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

12

-

Mar 18

14

+2 (+16.7%)

Mar 19

19

+5 (+35.7%)

Mar 20

38

+19 (+100%)

Mar 21

47

+9 (+23.7%)

Mar 22

64

+17 (+36.2%)

Mar 23

71

+7 (+10.9%)

Mar 23

71

+0 (+0%)

Mar 24

83

+12 (+16.9%)

Mar 25

94

+11 (+13.3%)

Mar 26

109
107 - 110

+15 (+15.9%)

Mar 27

126
124 - 127

+17 (+15.2%)

Mar 28

145
143 - 147

+19 (+15.2%)

Mar 29

167
164 - 169

+22 (+15.2%)

Mar 30

192
189 - 195

+25 (+15.2%)

Mar 31

221
218 - 224

+29 (+15.2%)

Apr 1

255
252 - 258

+34 (+15.2%)

Apr 2

294
290 - 298

+39 (+15.2%)

Apr 3

339
334 - 343

+45 (+15.2%)

Apr 4

390
385 - 395

+52 (+15.2%)

What was the daily increase in the last days in La Réunion?

Coronavirus infections

33.3%16.7%35.7%100%23.7%36.2%10.9%0%16.9%13.3%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in La Réunion in the previous days.

Coronavirus in Martinique

How were the past few days in Martinique and how could it go on?

Coronavirus infections

66Mar 2519Mar 17189Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Martinique of about 11.2% each day. That corresponds to a doubling of the numbers approx. every 6.5 days.

The graph above and the following table show the course of reported coronavirus infections in Martinique assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

19

-

Mar 18

23

+4 (+21.1%)

Mar 19

32

+9 (+39.1%)

Mar 20

32

+0 (+0%)

Mar 21

37

+5 (+15.6%)

Mar 22

44

+7 (+18.9%)

Mar 23

53

+9 (+20.5%)

Mar 23

53

+0 (+0%)

Mar 24

57

+4 (+7.55%)

Mar 25

66

+9 (+15.8%)

Mar 26

72
70 - 75

+6 (+9.74%)

Mar 27

81
78 - 83

+8 (+11.2%)

Mar 28

90
87 - 92

+9 (+11.2%)

Mar 29

100
97 - 103

+10 (+11.2%)

Mar 30

111
107 - 114

+11 (+11.2%)

Mar 31

123
119 - 127

+12 (+11.2%)

Apr 1

137
133 - 141

+14 (+11.2%)

Apr 2

152
148 - 157

+15 (+11.2%)

Apr 3

170
164 - 175

+17 (+11.2%)

Apr 4

189
183 - 195

+19 (+11.2%)

What was the daily increase in the last days in Martinique?

Coronavirus infections

18.8%21.1%39.1%0%15.6%18.9%20.5%0%7.55%15.8%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Martinique in the previous days.

Coronavirus in Mayotte

How were the past few days in Mayotte and how could it go on?

Coronavirus infections

35Mar 253Mar 17241Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Mayotte of about 21.1% each day. That corresponds to a doubling of the numbers approx. every 3.6 days.

The graph above and the following table show the course of reported coronavirus infections in Mayotte assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

3

-

Mar 18

3

+0 (+0%)

Mar 19

6

+3 (+100%)

Mar 20

7

+1 (+16.7%)

Mar 21

11

+4 (+57.1%)

Mar 22

14

+3 (+27.3%)

Mar 23

24

+10 (+71.4%)

Mar 23

24

+0 (+0%)

Mar 24

30

+6 (+25%)

Mar 25

35

+5 (+16.7%)

Mar 26

43
42 - 44

+8 (+22.7%)

Mar 27

52
51 - 54

+9 (+21.1%)

Mar 28

63
61 - 65

+11 (+21.1%)

Mar 29

76
74 - 79

+13 (+21.1%)

Mar 30

92
90 - 95

+16 (+21.1%)

Mar 31

112
109 - 115

+20 (+21.1%)

Apr 1

136
132 - 140

+24 (+21.1%)

Apr 2

164
160 - 169

+29 (+21.1%)

Apr 3

199
193 - 205

+35 (+21.1%)

Apr 4

241
234 - 248

+42 (+21.1%)

What was the daily increase in the last days in Mayotte?

Coronavirus infections

200%0%100%16.7%57.1%27.3%71.4%0%25%16.7%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Mayotte in the previous days.

Coronavirus in Metropolis

How were the past few days in Metropolis and how could it go on?

Coronavirus infections

24,900Mar 257,650Mar 1782,100Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Metropolis of about 12.7% each day. That corresponds to a doubling of the numbers approx. every 5.8 days.

The graph above and the following table show the course of reported coronavirus infections in Metropolis assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

7,650

-

Mar 18

9,040

+1,390 (+18.2%)

Mar 19

10,900

+1,830 (+20.2%)

Mar 20

12,500

+1,590 (+14.6%)

Mar 21

14,300

+1,820 (+14.6%)

Mar 22

16,500

+2,200 (+15.4%)

Mar 23

19,600

+3,130 (+19%)

Mar 23

19,600

+0 (+0%)

Mar 24

22,000

+2,410 (+12.3%)

Mar 25

24,900

+2,900 (+13.1%)

Mar 26

28,000
27,900 - 28,100

+3,120 (+12.5%)

Mar 27

31,600
31,500 - 31,700

+3,550 (+12.7%)

Mar 28

35,600
35,500 - 35,700

+4,000 (+12.7%)

Mar 29

40,100
40,000 - 40,200

+4,510 (+12.7%)

Mar 30

45,200
45,000 - 45,300

+5,080 (+12.7%)

Mar 31

50,900
50,800 - 51,100

+5,730 (+12.7%)

Apr 1

57,400
57,200 - 57,600

+6,450 (+12.7%)

Apr 2

64,700
64,400 - 64,900

+7,270 (+12.7%)

Apr 3

72,800
72,600 - 73,100

+8,200 (+12.7%)

Apr 4

82,100
81,800 - 82,300

+9,230 (+12.7%)

What was the daily increase in the last days in Metropolis?

Coronavirus infections

16.4%18.2%20.2%14.6%14.6%15.4%19%0%12.3%13.1%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Metropolis in the previous days.

Coronavirus in Normandie

How were the past few days in Normandie and how could it go on?

Coronavirus infections

688Mar 25174Mar 173,000Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Normandie of about 15.9% each day. That corresponds to a doubling of the numbers approx. every 4.7 days.

The graph above and the following table show the course of reported coronavirus infections in Normandie assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

174

-

Mar 18

208

+34 (+19.5%)

Mar 19

241

+33 (+15.9%)

Mar 20

287

+46 (+19.1%)

Mar 21

345

+58 (+20.2%)

Mar 22

462

+117 (+33.9%)

Mar 23

511

+49 (+10.6%)

Mar 23

511

+0 (+0%)

Mar 24

586

+75 (+14.7%)

Mar 25

688

+102 (+17.4%)

Mar 26

794
786 - 802

+106 (+15.4%)

Mar 27

920
911 - 930

+126 (+15.9%)

Mar 28

1,070
1,060 - 1,080

+146 (+15.9%)

Mar 29

1,240
1,220 - 1,250

+170 (+15.9%)

Mar 30

1,430
1,420 - 1,450

+197 (+15.9%)

Mar 31

1,660
1,640 - 1,680

+228 (+15.9%)

Apr 1

1,930
1,910 - 1,950

+264 (+15.9%)

Apr 2

2,230
2,210 - 2,250

+306 (+15.9%)

Apr 3

2,590
2,560 - 2,610

+355 (+15.9%)

Apr 4

3,000
2,970 - 3,030

+412 (+15.9%)

What was the daily increase in the last days in Normandie?

Coronavirus infections

11.5%19.5%15.9%19.1%20.2%33.9%10.6%0%14.7%17.4%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Normandie in the previous days.

Coronavirus in Nouvelle-Aquitaine

How were the past few days in Nouvelle-Aquitaine and how could it go on?

Coronavirus infections

912Mar 25200Mar 174,100Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Nouvelle-Aquitaine of about 16.2% each day. That corresponds to a doubling of the numbers approx. every 4.6 days.

The graph above and the following table show the course of reported coronavirus infections in Nouvelle-Aquitaine assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

200

-

Mar 18

237

+37 (+18.5%)

Mar 19

280

+43 (+18.1%)

Mar 20

432

+152 (+54.3%)

Mar 21

521

+89 (+20.6%)

Mar 22

612

+91 (+17.5%)

Mar 23

676

+64 (+10.5%)

Mar 23

676

+0 (+0%)

Mar 24

789

+113 (+16.7%)

Mar 25

912

+123 (+15.6%)

Mar 26

1,060
1,060 - 1,070

+150 (+16.4%)

Mar 27

1,230
1,230 - 1,240

+172 (+16.2%)

Mar 28

1,430
1,430 - 1,440

+200 (+16.2%)

Mar 29

1,670
1,660 - 1,670

+232 (+16.2%)

Mar 30

1,940
1,930 - 1,940

+270 (+16.2%)

Mar 31

2,250
2,240 - 2,260

+314 (+16.2%)

Apr 1

2,610
2,600 - 2,620

+364 (+16.2%)

Apr 2

3,040
3,020 - 3,050

+423 (+16.2%)

Apr 3

3,530
3,510 - 3,540

+492 (+16.2%)

Apr 4

4,100
4,080 - 4,120

+572 (+16.2%)

What was the daily increase in the last days in Nouvelle-Aquitaine?

Coronavirus infections

12.4%18.5%18.1%54.3%20.6%17.5%10.5%0%16.7%15.6%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Nouvelle-Aquitaine in the previous days.

Coronavirus in Occitanie

How were the past few days in Occitanie and how could it go on?

Coronavirus infections

1,080Mar 25311Mar 175,950Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Occitanie of about 18.6% each day. That corresponds to a doubling of the numbers approx. every 4.1 days.

The graph above and the following table show the course of reported coronavirus infections in Occitanie assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

311

-

Mar 18

371

+60 (+19.3%)

Mar 19

444

+73 (+19.7%)

Mar 20

537

+93 (+20.9%)

Mar 21

611

+74 (+13.8%)

Mar 22

671

+60 (+9.82%)

Mar 23

767

+96 (+14.3%)

Mar 23

767

+0 (+0%)

Mar 24

900

+133 (+17.3%)

Mar 25

1,080

+182 (+20.2%)

Mar 26

1,280
1,260 - 1,290

+196 (+18.1%)

Mar 27

1,520
1,500 - 1,530

+238 (+18.6%)

Mar 28

1,800
1,780 - 1,820

+283 (+18.6%)

Mar 29

2,130
2,110 - 2,160

+335 (+18.6%)

Mar 30

2,530
2,510 - 2,560

+398 (+18.6%)

Mar 31

3,000
2,970 - 3,040

+472 (+18.6%)

Apr 1

3,560
3,530 - 3,600

+560 (+18.6%)

Apr 2

4,230
4,190 - 4,270

+664 (+18.6%)

Apr 3

5,020
4,970 - 5,070

+788 (+18.6%)

Apr 4

5,950
5,890 - 6,010

+935 (+18.6%)

What was the daily increase in the last days in Occitanie?

Coronavirus infections

18.7%19.3%19.7%20.9%13.8%9.82%14.3%0%17.3%20.2%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Occitanie in the previous days.

Coronavirus in Oversea

How were the past few days in Oversea and how could it go on?

Coronavirus infections

313Mar 2578Mar 171,170Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Oversea of about 14.1% each day. That corresponds to a doubling of the numbers approx. every 5.3 days.

The graph above and the following table show the course of reported coronavirus infections in Oversea assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

78

-

Mar 18

91

+13 (+16.7%)

Mar 19

124

+33 (+36.3%)

Mar 20

153

+29 (+23.4%)

Mar 21

177

+24 (+15.7%)

Mar 22

208

+31 (+17.5%)

Mar 23

241

+33 (+15.9%)

Mar 23

241

+0 (+0%)

Mar 24

277

+36 (+14.9%)

Mar 25

313

+36 (+13%)

Mar 26

358
355 - 361

+45 (+14.4%)

Mar 27

408
405 - 411

+50 (+14.1%)

Mar 28

466
462 - 469

+57 (+14.1%)

Mar 29

531
527 - 535

+65 (+14.1%)

Mar 30

606
601 - 610

+75 (+14.1%)

Mar 31

691
686 - 696

+85 (+14.1%)

Apr 1

788
782 - 794

+97 (+14.1%)

Apr 2

899
892 - 905

+111 (+14.1%)

Apr 3

1,030
1,020 - 1,030

+126 (+14.1%)

Apr 4

1,170
1,160 - 1,180

+144 (+14.1%)

What was the daily increase in the last days in Oversea?

Coronavirus infections

30%16.7%36.3%23.4%15.7%17.5%15.9%0%14.9%13%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Oversea in the previous days.

Coronavirus in Pays de la Loire

How were the past few days in Pays de la Loire and how could it go on?

Coronavirus infections

368Mar 25126Mar 171,220Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Pays de la Loire of about 12.5% each day. That corresponds to a doubling of the numbers approx. every 5.9 days.

The graph above and the following table show the course of reported coronavirus infections in Pays de la Loire assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

126

-

Mar 18

128

+2 (+1.59%)

Mar 19

160

+32 (+25%)

Mar 20

190

+30 (+18.8%)

Mar 21

234

+44 (+23.2%)

Mar 22

270

+36 (+15.4%)

Mar 23

293

+23 (+8.52%)

Mar 23

293

+0 (+0%)

Mar 24

343

+50 (+17.1%)

Mar 25

368

+25 (+7.29%)

Mar 26

421
405 - 437

+53 (+14.3%)

Mar 27

473
456 - 491

+53 (+12.5%)

Mar 28

533
513 - 553

+59 (+12.5%)

Mar 29

599
577 - 622

+67 (+12.5%)

Mar 30

674
650 - 700

+75 (+12.5%)

Mar 31

759
731 - 787

+84 (+12.5%)

Apr 1

854
822 - 886

+95 (+12.5%)

Apr 2

960
925 - 997

+107 (+12.5%)

Apr 3

1,080
1,040 - 1,120

+120 (+12.5%)

Apr 4

1,220
1,170 - 1,260

+135 (+12.5%)

What was the daily increase in the last days in Pays de la Loire?

Coronavirus infections

16.7%1.59%25%18.8%23.2%15.4%8.52%0%17.1%7.29%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Pays de la Loire in the previous days.

Coronavirus in Provence-Alpes-Côte d’Azur

How were the past few days in Provence-Alpes-Côte d’Azur and how could it go on?

Coronavirus infections

1,930Mar 25478Mar 175,990Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Provence-Alpes-Côte d’Azur of about 12.3% each day. That corresponds to a doubling of the numbers approx. every 6 days.

The graph above and the following table show the course of reported coronavirus infections in Provence-Alpes-Côte d’Azur assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

478

-

Mar 18

574

+96 (+20.1%)

Mar 19

693

+119 (+20.7%)

Mar 20

826

+133 (+19.2%)

Mar 21

1,040

+215 (+26%)

Mar 22

1,370

+331 (+31.8%)

Mar 23

1,510

+138 (+10.1%)

Mar 23

1,510

+0 (+0%)

Mar 24

1,600

+85 (+5.63%)

Mar 25

1,930

+332 (+20.8%)

Mar 26

2,110
1,990 - 2,240

+184 (+9.57%)

Mar 27

2,370
2,240 - 2,510

+259 (+12.3%)

Mar 28

2,660
2,510 - 2,820

+291 (+12.3%)

Mar 29

2,990
2,820 - 3,160

+327 (+12.3%)

Mar 30

3,360
3,170 - 3,550

+367 (+12.3%)

Mar 31

3,770
3,560 - 3,990

+412 (+12.3%)

Apr 1

4,230
3,990 - 4,480

+463 (+12.3%)

Apr 2

4,750
4,490 - 5,030

+519 (+12.3%)

Apr 3

5,330
5,040 - 5,650

+583 (+12.3%)

Apr 4

5,990
5,650 - 6,340

+655 (+12.3%)

What was the daily increase in the last days in Provence-Alpes-Côte d’Azur?

Coronavirus infections

18%20.1%20.7%19.2%26%31.8%10.1%0%5.63%20.8%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Provence-Alpes-Côte d’Azur in the previous days.

Coronavirus in Saint-Barthélémy

How were the past few days in Saint-Barthélémy and how could it go on?

Coronavirus infections

3Mar 253Mar 173Apr 40

The graph above and the following table show the course of reported coronavirus infections in Saint-Barthélémy assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

3

-

Mar 18

3

+0 (+0%)

Mar 19

3

+0 (+0%)

Mar 20

3

+0 (+0%)

Mar 21

3

+0 (+0%)

Mar 22

3

+0 (+0%)

Mar 23

3

+0 (+0%)

Mar 23

3

+0 (+0%)

Mar 24

3

+0 (+0%)

Mar 25

3

+0 (+0%)

Mar 26

3
3 - 3

+0 (+-1.11e-14%)

Mar 27

3
3 - 3

+0 (+0%)

Mar 28

3
3 - 3

+0 (+0%)

Mar 29

3
3 - 3

+0 (+0%)

Mar 30

3
3 - 3

+0 (+0%)

Mar 31

3
3 - 3

+0 (+0%)

Apr 1

3
3 - 3

+0 (+0%)

Apr 2

3
3 - 3

+0 (+0%)

Apr 3

3
3 - 3

+0 (+0%)

Apr 4

3
3 - 3

+0 (+0%)

What was the daily increase in the last days in Saint-Barthélémy?

Coronavirus infections

0%0%0%0%0%0%0%0%0%0%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Saint-Barthélémy in the previous days.

Coronavirus in Saint-Martin

How were the past few days in Saint-Martin and how could it go on?

Coronavirus infections

11Mar 253Mar 1744Apr 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Saint-Martin of about 15.6% each day. That corresponds to a doubling of the numbers approx. every 4.8 days.

The graph above and the following table show the course of reported coronavirus infections in Saint-Martin assuming that the numbers are following an exponential trend without any slowdown.

Mar 17

3

-

Mar 18

4

+1 (+33.3%)

Mar 19

4

+0 (+0%)

Mar 20

4

+0 (+0%)

Mar 21

5

+1 (+25%)

Mar 22

6

+1 (+20%)

Mar 23

8

+2 (+33.3%)

Mar 23

8

+0 (+0%)

Mar 24

8

+0 (+0%)

Mar 25

11

+3 (+37.5%)

Mar 26

12
10 - 14

+0 (+9.07%)

Mar 27

14
12 - 16

+2 (+15.6%)

Mar 28

16
14 - 18

+2 (+15.6%)

Mar 29

19
16 - 21

+2 (+15.6%)

Mar 30

21
19 - 25

+3 (+15.6%)

Mar 31

25
22 - 28

+3 (+15.6%)

Apr 1

29
25 - 33

+4 (+15.6%)

Apr 2

33
29 - 38

+4 (+15.6%)

Apr 3

38
33 - 44

+5 (+15.6%)

Apr 4

44
39 - 51

+6 (+15.6%)

What was the daily increase in the last days in Saint-Martin?

Coronavirus infections

50%33.3%0%0%25%20%33.3%0%0%37.5%Mar 17Mar 25)}

The graph above shows the daily increase of reported coronavirus infections in Saint-Martin in the previous days.

How can I protect myself and others?

The German Federal Ministry of Health recommends:

  • Keep the greatest possible distance when coughing or sneezing - it is best to turn away.
  • Sneeze into the crook of the arm or a handkerchief, which you can then dispose of.
  • Avoid touching when greeting other people and wash your hands regularly and thoroughly with soap and water for at least 20 seconds.

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