REPORT OF COVID-19 CASES

Date: 30 May 2020

Time: 10:00 AM

Analytics: Medical Education and Drugs

Department

Data: Public Health Department

Government of Maharashtra
01
/0
2/
20
08 1
2
/0 3
3
2/
20 3
3
15 3
3
/0 3
3
2/ 3
3
20 3
3
22 3
3
/0 3
3
VARIABLES

NEW CASES

2/ 3
3
MORTALITY
20
3
NEW DEATHS
3
TOTAL CASES

29
/0 3
3
TOTAL DEATHS

2/ 3
3
20 3
3
07 3
5
/0 6
29
3/
20 30
31
14 34
43
/0 44
60
3/ 73
74
20 82
101
21 110
121
/0 147
151
3/
20 168
174
28 223
284
367
4354

/0 397
537
357688
107740

6.27 %
5701337

3/ 600
WORLD

20 649
728
04 847
974
/0 1112
1227
4/
20 1463
1867
11 2371
2969
/0 3522
4125
Figure No. 1: Trend of Daily COVID-19 Cases in India

4/ 4542
5194
5734
Table No 1: Comparison of COVID-19 Cases and Deaths

20
6412
7447
265

18
4971
7964

8356
9163
2.86 %

/0
INDIA
173763

4/ 10369
11442
20 12380
13386
25 14378
15712
/0 17266
18611
4/
20 19995
21390
02 23074
24506
/0 26496
27892
5/ 29435
31332
20 33050
35043
09 37336
39980
/0 42533
46433
5/ 49391
116

52952
2098
2682

20
56342
62228

3.37 %

16 59662
62939
/0 67152
70756
5/
20 74281
78003
23 81970
85940
90927
MAHARASHTRA

/0 96169
101139
5/
20 106750
112359
30 118447
125101
/0 131868
138845
5/ 145380
151767
20 158333
165799
173763
Table No. 2: Statewise Distribution of COVID-19 Cases & Deaths in India

Sr No Name of States / Union Territory Cases Deaths Mortality (%)

1 West Bengal 4813 302 6.27
2 Gujarat 15934 980 6.15
3 Madhya Pradesh 7645 334 4.37
4 Meghalaya 27 1 3.70
5 Maharashtra 62228 2098 3.37
6 Telangana 2425 71 2.93
7 Uttar Pradesh 7284 198 2.72
8 Delhi 17386 398 2.29
9 Rajasthan 8365 184 2.20
10 Punjab 2197 42 1.91
11 Andhra Pradesh 3436 60 1.75
12 Karnataka 2781 48 1.73
13 Himachal Pradesh 295 5 1.69
14 Chandigarh 289 4 1.38
15 Jammu & Kashmir 2164 28 1.29
16 Haryana 1721 19 1.10
17 Jharkhand 511 5 0.98
18 Tamil Nadu 20246 154 0.76
19 Uttarakhand 716 5 0.70
20 Kerala 1150 8 0.70
21 Bihar 3376 15 0.44
22 Odisha 1723 7 0.41
23 Assam 1024 4 0.39
24 Chhattisgarh 415 1 0.24
25 Andaman and Nicobar 33 0 0.00
26 Arunachal Pradesh 3 0 0.00
27 Dadar Nagar Haveli 2 0 0.00
28 Goa 69 0 0.00
29 Ladakh 74 0 0.00
30 Manipur 59 0 0.00
31 Mizoram 1 0 0.00
32 Nagaland 25 0 0.00
33 Puducherry 51 0 0.00
34 Sikkim 1 0 0.00
35 Tripura 251 0 0.00
TOTAL 173763 4971 2.86
*Data as per MOHFW report dated 30/05/2020 -8:00 AM
Figure No 2: Statewise Distribution of COVID-19 Cases in India

Tripura 251
Sikkim 1
Puducherry 51
Nagaland 25
Mizoram 1
Manipur 59
Ladakh 74
Goa 69
Dadar Nagar Haveli 2
Arunachal Pradesh 3
Andaman and Nicobar 33
Chhattisgarh 415
Assam 1024
Odisha 1723
Bihar 3376
Kerala 1150
Uttarakhand 716
Tamil Nadu 20246
Jharkhand 511
Haryana 1721
Jammu & Kashmir 2164
Chandigarh 289
Himachal Pradesh 295
Karnataka 2781
Andhra Pradesh 3436
Punjab 2197
Rajasthan 8365
Delhi 17386
Uttar Pradesh 7284
Telangana 2425
Maharashtra 62228
Meghalaya 27
Madhya Pradesh 7645
Gujarat 15934
West Bengal 4813

0 10000 20000 30000 40000 50000 60000 70000

 (N=62228)
(N=62228)

0
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000
0
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000

2nd DAY 01/02/20

6th DAY
10th DAY 08/02/20
14th DAY
18th DAY 15/02/20
22nd DAY 22/02/20
26th DAY
30th DAY 29/02/20
34th DAY
38th DAY 07/03/20
42nd DAY
14/03/20

INDIA

INDIA
46th DAY
50th DAY 21/03/20
54th DAY
58th DAY 28/03/20
62nd DAY
66th DAY 04/04/20
70th DAY 11/04/20
74th DAY
78th DAY 18/04/20
MAHARASHTRA

MAHARASHTRA
82nd DAY
86th DAY 25/04/20
90th DAY
02/05/20
94th DAY
98th DAY 09/05/20
102nd DAY
106th DAY 16/05/20
110th DAY
23/05/20
114th DAY
118th DAY 30/05/20
Figure No 4: Day wise trend of COVID-19 Cases in India (N=173763) & Maharashtra
Figure No 3: Date wise trend of COVID-19 Cases in India (N=173763) & Maharashtra
Figure No 5: Datewise Distribution of COVID-19 New Cases in India & Maharashtra

7964

7466

6977
6767
6654
6566
6535
6387

6088

5611
5609

5242
4987
4970

4213
3970
3967
3900
3722
3561 3604
3525
3390
3320
3277
3041
2958 2940

2644 2682
2608 2598
2553
2436
2293 2347 2345
2250 2190
2127 2091
1990 1993 2033
1897
1684 1718
1554 1543 1606
1602
1576
1432 1495
1395
1384
1345
1334 1396
1233
1216 1278
1230
1206 1165
1035 1073 1089 1026
1006
992 1008
909 938 841
807 778811 728 790771
598 603652678 597
678
504553467540 553553
472 522 583
414 431394440
350288328
344
236 229
210235 226
6183
140 79 119 138
127 10088148
115 121
110 117 187
149 119
13 526
1 819911
5110115 2 449
1 42176 511 301015
1023 21020272217 15 69
6349
10/03/20 17/03/20 24/03/20 31/03/20 07/04/20 14/04/20 21/04/20 28/04/20 05/05/20 12/05/20 19/05/20 26/05/20

INDIA MAHARASHTRA
 Figure No 6: Datewise Distribution of COVID-19 Cases in Maharashtra (N= 62228)

a) Datewise Distribution of New cases

3041
2940
2682
2608 2598
2436
2347 2345
2250 2190
2127 2091
2033

1606
1602
1576
1495
1233
1216 1278
1230
1165
1089 1026
1008
778811 728 790771841
678
553553
472431 440522597
583
350288328
344 394
229
210235 226
187
148
100 88 110149
121117 119
3 4110114 5 1 2 2 3 5111023101521220272217 15 67
09/03/20 16/03/20 23/03/20 30/03/20 06/04/20 13/04/20 20/04/20 27/04/20 04/05/20 11/05/20 18/05/20 25/05/20

b) Datewise Distribution of Cumulative cases

70000

60000

50000

40000

30000

20000

10000

0
0

0
2

2
3/

3/

3/

3/

4/

4/

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4/

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5/

5/

5/
/0

/0

/0

/0

/0

/0

/0

/0

/0

/0

/0

/0
09

16

23

30

06

13

20

27

04

11

18

25
 1ST DAY 3 1ST DAY 3
7 4
3RD DAY 18 3RD DAY 11
18 0
5TH DAY 29 5TH DAY 11
33 4
7TH DAY 38 7TH DAY 5
39 1
9TH DAY 41 9TH DAY 2
43 2
11TH DAY 46 11TH DAY 3
51 5
13TH DAY 62 13TH DAY 11
72 10
15TH DAY 95 15TH DAY 23
105 10
17TH DAY 120 17TH DAY 15
122 2
19TH DAY 134 19TH DAY 12
154 20
21ST DAY 181 21ST DAY 27
203 22
23RD DAY 220 23RD DAY 17
320 100
25TH DAY 335 25TH DAY 15
423 88
27TH DAY 490 27TH DAY 67
635 148
29TH DAY 748 29TH DAY 110
869 121
31ST DAY 1018 31ST DAY 149
1135 117
33RD DAY 1364 33RD DAY 229
1574 210
35TH DAY 1761 35TH DAY 187
1996 235
37TH DAY 2340 37TH DAY 344
a) Daywise Distribution of New cases

2690 350
39TH DAY 2916 39TH DAY 226
3204 288
41ST DAY 3323 41ST DAY 119
3651 328
43RD DAY 4204 43RD DAY 553

b) Daywise Distribution of Cumulative cases

4676 472
45TH DAY 5229 45TH DAY 553
5649 431
47TH DAY 6427 47TH DAY 778
6817 394
49TH DAY 7628 49TH DAY 811
8068 440
51ST DAY 8590 51ST DAY 522
9318 728
53RD DAY 9915 53RD DAY 597
10498 583
55TH DAY 11506 55TH DAY 1008
12296 790
57TH DAY 12974 57TH DAY 678
14541 771
59TH DAY 15525 59TH DAY 841
16758 1233
61ST DAY 17974 61ST DAY 1216
19063 1089
63RD DAY 20228 63RD DAY 1165
22171 1278
65TH DAY 23401 65TH DAY 1230
24427 1026
67TH DAY 25922 67TH DAY 1495
27524 1602
69TH DAY 29100 69TH DAY 1576
30706 1606
71ST DAY 33053 71ST DAY 2347
35058 2033
73RD DAY 37136 73RD DAY 2127
39297 2250
75TH DAY 41642 75TH DAY 2345
44582 2940
Figure No 7: Daywise Distribution of COVID-19 Cases in Maharashtra (N= 62228)

77TH DAY 47190 77TH DAY 2608

50231 3041
79TH DAY 52667 79TH DAY 2436
54758 2091
81ST DAY 56948 81ST DAY 2190
59546 2598
83RD DAY 62228 83RD DAY 2682
 Figure No 8: Date wise Distribution of New Deaths due to COVID-19 in India and
Maharashtra

265

195 194

175
170

157
154
148147146
140
137
134 134132
126 128
122 120
116

103 103 105

100
95 97 97
89 87
83 85
76
73 7371 72
67 67 656463
62 63
605860
57
53 5354 51
50 4948 48 49
47
43 43 44
40 41
3837 36 37 36 353434 37 36
33 343432 3132
28 27 27 2726 27
24 25 23
21 22
18 18 1918 18 19
15 13 17 1317 14
10 1212 12 12
7 7 7 7 8 9 7 710 9
6 6
1 0 21 2 314 4 35
01 0
1000100
10 02 12
00 0 02021
12/03/20
14/03/20
16/03/20
18/03/20
20/03/20
22/03/20
24/03/20
26/03/20
28/03/20
30/03/20
01/04/20
03/04/20
05/04/20
07/04/20
09/04/20
11/04/20
13/04/20
15/04/20
17/04/20
19/04/20
21/04/20
23/04/20
25/04/20
27/04/20
29/04/20
01/05/20
03/05/20
05/05/20
07/05/20
09/05/20
11/05/20
13/05/20
15/05/20
17/05/20
19/05/20
21/05/20
23/05/20
25/05/20
27/05/20
29/05/20

INDIA MAHARASHTRA
 Table No 3: District/Corporation wise Distribution of COVID-19 cases in Maharashtra
TOTAL NEW CASES NEW RECOVERED ACTIVE
S.N DISTRICT/CORPORATION TOTAL DEATHS
CASES DEATHS CASES
1 Mumbai Municipal Corporation 36932 1447 1173 38 16008 19745
2 Thane 577 40 7 1
3 Thane Municipal Corporations 3409 183 71 0
Navi Mumbai Municipal
4
Corporation 2461 71 50 9
Kalyan-Dombivali Municipal
5
Corporation 1191 62 19 1
2729 5737
Ulhasnagar Municipal
6
Corporation 267 26 6 0
Bhivandi-Nizampur Municipal
7
Corporation 108 1 6 3
Mira-Bhayandar Municipal
8
Corporation 625 35 13 3
9 Palghar 137 8 3 0
Vasai-Virar Municipal 280 610
10
Corporation 776 80 20 0
11 Raigad 553 33 15 2
518 450
12 Panvel Municipal Corporation 446 22 14 1
13 Nashik 148 1 0 0
14 Nashik Municipal Corporation 190 16 8 3
818 192
Malegaon Municipal
15
Corporation 732 10 52 5
16 Ahmednagar 75 4 6 0
Ahmednagar Municipal 52 38
17
Corporation 21 0 0 0
18 Dhule 34 5 8 5
70 49
19 Dhule Municipal Corporation 101 1 8 2
20 Jalgaon 399 14 60 13
263 223
21 Jalgaon Municipal Corporation 156 15 9 4
22 Nandurbar 33 1 3 0 20 10
23 Pune 471 14 9 1
24 Pune Municipal Corporation 6321 271 296 10
3425 3484
Pimpri-Chinchwad Municipal
25
Corporation 431 42 9 2
26 Solapur 42 11 2 0
314 393
27 Solapur Municipal Corporation 727 47 60 3
28 Satara 459 30 16 0 145 298
29 Kolhapur 350 28 4 3
Kolhapur Municipal 87 288
30
Corporation 29 0 0 0
31 Sangli 93 3 0 0
Sangli-Miraj-Kupwad 53 50
32
Municipal Corporation 11 0 1 0
33 Sindhudurg 21 2 0 0 7 14
34 Ratnagiri 216 12 5 0 88 123
35 Aurangabad

30 1 1 0 959 386
Aurangabad Municipal
36
Corporation 1380 39 64 5
37 Jalna 117 30 0 0 32 85
38 Hingoli 143 0 0 0 97 46
39 Parbhani 33 1 1 0
1 40
40 Parbhani Municipal Corporation 9 1 0 0
41 Latur 98 0 3 0
52 53
42 Latur Municipal Corporation 10 1 0 0
43 Osmanabad 64 10 0 0 13 51
44 Beed 46 5 0 0 5 41
45 Nanded 22 0 0 0
82 20
46 Nanded Municipal Corporation 86 0 6 0
47 Akola 42 0 5 0
275 233
48 Akola Municipal Corporation 495 8 23 0
49 Amaravati 16 0 2 0
Amaravati Municipal 117 69
50
Corporation 186 5 14 2
51 Yavatmal 128 12 0 0 92 36
52 Buldhana 56 1 3 0 29 24
53 Washim 8 0 0 0 6 2
54 Nagpur 13 3 0 0
342 160
55 Nagpur Municipal Corporation 498 13 9 0
56 Wardha 11 0 1 0 0 10
57 Bhandara 25 5 0 0 1 24
58 Gondia 58 7 0 0 3 55
59 Chandrapur 16 0 0 0
Chandrapur Municipal 9 16
60
Corporation 9 0 0 0
61 Gadchiroli 31 3 0 0 5 26
62 Other States 56 2 13 0 0 43
TOTAL 62228 2682 2098 116 26997 33124

Note:
Data is taken from Public Health Department press note Dated- 29-05-2020. 9 Deaths in COVID 19 Cases are due to other causes in MCGM (6), Raigad (2) and Akola (1)
 Figure No 9: District/Corporation wise Distribution of COVID-19 Cases in Maharashtra (N=62228)

Other states 56
Gadchiroli 31
Chandrapur Municipal Corporation 9
Chandrapur 16
Gondia 58
Bhandara 25
Wardha 11
Nagpur Municipal Corporation 498
Nagpur 13
Washim 8
Buldhana 56
Yavatmal 128
Amaravati Municipal Corporation 186
Amaravati 16
Akola Municipal Corporation 495
Akola 42
Nanded Municipal Corporation 86
Nanded 22
Beed 46
Osmanabad 64
Latur Municipal Corporation 10
Latur 98
Parbhani Municipal Corporation 9
Parbhani 33
Hingoli 143
Jalna 117
Aurangabad Municipal Corporation 1380
Aurangabad 30
Ratnagiri 216
Sindhudurg 21
Sangli-Miraj-Kupwad Municipal Corporation 11
Sangli 93
Kolhapur Municipal Corporation 29
Kolhapur 350
Satara 459
Solapur Municipal Corporation 727
Solapur 42
Pimpri Chinchwad Municipal Corporation 431
Pune Municipal Corporation 6321
Pune 471
Nandurbar 33
Jalgaon Municipal Corporation 156
Jalgaon 399
Dhule Municipal Corporation 101
Dhule 34
Ahmednagar Municipal Corporation 21
Ahmednagar 75
Malegaon Municipal Corporation 732
Nashik Municipal Corporation 190
Nashik 148
Panvel Municipal Corporation 446
Raigad 553
Vasai-Virar Municipal Corporation 776
Palghar 137
Mira-Bhayandar Municipal Corporation 625
Bhivandi-Nizampur Municipal Corporation 108
Ulhasnagar Municipal Corporation 267
Kalyan-Dombivali Municipal Corporation 1191
Navi Mumbai Municipal Corporation 2461
Thane Municipal Corporation 3409
Thane 577
Mumbai Municipal Corporation 36932
0 5000 10000 15000 20000 25000 30000 35000 40000
Figure No 10: Age wise distribution of COVID-19 Cases in Maharashtra (N =59357)*

12138 12444

10652
9753

5423

3982

2097 2199
594 74 1
UP TO 10 11-20 21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100 101-110
YRS YRS YRS YRS YRS YRS YRS YRS YRS YRS YRS

*Details are available for 59357 cases

Table. 4:Age wise distribution of COVID 19 cases (N=59357) in Maharashtra

S.NO AGE GROUP NO. OF CASES % OF TOTAL CASES

1 UP TO 10 YRS 2097 3.53
2 11-20 YRS 3982 6.71
3 21-30 YRS 12138 20.45
4 31-40 YRS 12444 20.96
5 41-50 YRS 10652 17.95
6 51-60 YRS 9753 16.43
7 61-70 YRS 5423 9.14
8 71-80 YRS 2199 3.70
9 81-90 YRS 594 1.00
10 91-100 YRS 74 0.12
11 101-110 YRS 1 0.00
TOTAL 59357 100.00

*Details are available for 59357 Cases

Figure No 11: Co-morbidity Status of COVID-19 deaths in Maharashtra (N=2051)*

Co-Morbidity status among Deaths

633, 31%
PRESENT
ABSENT

1418, 69%

*Details are available for 2051 Deaths

Figure No 12: Gender wise distribution of COVID-19 Cases in Maharashtra (N=59534) *

Gender wise cases

22441; 38%
MALE
FEMALE
37093; 62%

*Details are available for 59534 cases

Figure No 13: Genderwise distribution of COVID-19 Deaths in Maharashtra (N=2098)

Gender Wise Deaths

749; 36%
MALE
FEMALE
1349; 64%

Figure No 14: Total samples tested for COVID-19 in Maharashtra (N=448661)*

15%

NEGATIVE RESULT
POSITIVE RESULT

85%

* Data is taken from ICMR Portal Dated 30/05/2020 9:00 AM

Table No 5: COVID-19 Testing status in Maharashtra.(N=448661)*

STATUS GOVERNMENT LABS PRIVATE LABS TOTAL

SAMPLES TESTED 241089 207572 448661
NEGATIVE 209567 (86.93 %) 170858 (82.31 %) 380425 (84.79 %)
POSITIVE 31522 (13.07 %) 36714 (17.69 %) 68236 (15.21 %)

*Data is taken from ICMR Portal Dated 30/05/2020 9:00 AM

Figure No 15: Status of COVID-19 Cases in Maharashtra (N=59537)*

1982; 3%

TOTAL CASES ASYMPTOMATIC

18616; 31% TOTAL CASES SYMPTOMATIC

31959; 54%
TOTAL CASES CRITICAL
1252; 2%
TOTAL CASES RECOVERED

5728; 10% TOTAL DEATH

*Details are available for 59537 cases

Figure No 16: Current Status of COVID-19 admitted Patients in Maharashtra (N=38939)*

1252; 3%

5728; 15%
TOTAL CASES ASYMPTOMATIC

TOTAL CASES SYMPTOMATIC

TOTAL CASES CRITICAL

31959; 82%

*Details are available for 38939 cases

 Table No 6: Comparison of weekly COVID-19 cases with other countries

WEEKS INDIA USA FRANCE ITALY JAPAN IRAN SPAIN CHINA

1ST WEEK 3 11 6 3 4 95 1 278
ND
2 WEEK 3 13 6 3 20 2336 2 2761
RD
3 WEEK 3 15 11 400 26 8042 2 17238
4TH WEEK 3 53 12 3089 59 16169 25 40235
TH
5 WEEK 34 108 38 12462 144 24811 257 70635
TH
6 WEEK 101 696 420 31506 254 35408 2965 77262
7TH WEEK 223 3536 2860 74386 488 55743 13716 80174
TH
8 WEEK 724 51914 9043 92472 814 62589 78797 80904
TH
9 WEEK 1112 103321 28786 124632 1089 74877 130759 81077
TH
10 WEEK 4125 122653 37145 147577 1693 84802 152446 81601
11TH WEEK 7447 273808 67757 168941 3271 92584 182816 82351
TH
12 WEEK 13387 395030 85351 187327 6238 99970 213024 82930

13TH WEEK 23077 604070 107778 203591 9167 110767 213435 83597

14TH WEEK 35043 776907 119583 214457 10751 124603 221447 84237

15TH WEEK 56342 983457 128121 222104 13385 229540 84341

16TH WEEK 81970 1171185 135980 227364 15057 233037 84400

17TH WEEK 131868 1322054 139152 15798 84450

18TH WEEK 1477459 141590 16305 84494

Table No 7:Doubling time of COVID-19 cases comparison with other countries

No. of cases CHINA INDIA USA FRANCE ITALY JAPAN SPAIN IRAN
100 1ST DAY 42ND DAY 44TH DAY 41ST DAY 25TH DAY 33RD DAY 32RD DAY 8TH DAY

1000 5TH DAYS 58TH DAY 53RD DAY 49TH DAY 31ST DAY 63RD DAY 39TH DAY 13TH DAY

2000 6TH DAY 63RD DAY 56TH DAY 52ND DAY 33RD DAY 74TH DAY 41ND DAY 14TH DAY

4000 8TH DAY 66TH DAY 60ST DAY 55TH DAY 37TH DAY 79TH DAY 43TH DAY 17TH DAY

8000 11TH DAY 72TH DAY 61ST DAY 60TH DAY 40TH DAY 86TH DAY 46TH DAY 21ST DAY

16000 14TH DAY 80TH DAY 62nd DAY 64TH DAY 44TH DAY 113TH DAY 50TH DAY 28TH DAY

32000 19TH DAY 90TH DAY 64TH DAY 68TH DAY 50TH DAY 53RD DAY 38TH DAY

64000 28TH DAY 101ST DAY 67TH DAY 73RD DAY 55TH DAY 57TH DAY 50TH DAY

128000 114TH DAY 71ST DAY 98THDAY 67TH DAY 65TH DAY

256000 73RDDAY

512000 83RD DAY

1024000 101THDAY

2048000

Reference:
Source:Report is prepared on the basis of information published by World Health Organization Daily Situation Report,
Ministry of Health Family Welfare mohfw.gov.in and Daily Press Note released by Public Health Department.
Data Collection timing: 9:00 AM – 9:00 AM