Analytics: Medical Education and Drugs Department

Data: Public Health Department Government of Maharashtra





Table No 1: Comparison of COVID-19 Cases and Deaths

VARIABLES

WORLD

INDIA



MAHARASHTRA

TOTAL CASES

1696588

9163

1996



NEW CASES

85679

807

235

TOTAL DEATHS

105952

307



148



NEW DEATHS

6262

34

21

MORTALITY

6.24 %

3.35 %

7.41 %

Figure No. 1: Trend of Daily COVID-19 Cases in India

                                        

01/02/20 03/02/20 05/02/20 07/02/20 09/02/20 11/02/20 13/02/20 15/02/20 17/02/20 19/02/20 21/02/20 23/02/20 25/02/20 27/02/20 29/02/20 02/03/20 04/03/20 06/03/20 08/03/20 10/03/20 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

1

2

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

5

6

29

30

31

34

43

44

60

73

74

82 101 110 121

147

151

168

174

223 284

367 397

537 600 649

728 847

974 1112

1227 1463

18672371 2969

3522 4125
4542 5194

5734 6412

7447

8356

9163



Table No. 2: Statewise Distribution of COVID-19 Cases & Deaths in India



Deaths

 

Mortality (%)



2



 

10.53

 

148

7.41



11

 

7.28



36

 

6.38



25



 

4.84

 

7

4.61



1

 

3.45



1



 

3.13

 

6

2.59



24

 

2.08

1

1.85



9



 

1.79

 

7

1.64

4

1.63

3



1.62

 

1

1.56



11

 

1.05

5

1.04

2



0.53

 

3

0.37



0

 

0.00

0

0.00

0

0.00

0

0.00

0



0.00

 

0

0.00

0

0.00



0

 

0.00

0

0.00

0

0.00

0

0.00

307

3.35

  

Sr No

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

Name of States / Union Territory Cases

Jharkhand 19 Maharashtra 1996 Punjab 151 Madhya Pradesh 564 Gujarat 516 West Bengal 152 Assam 29 Himachal Pradesh 32 Karnataka 232 Delhi 1154 Odisha 54 Telangana 504 Andhra Pradesh 427 Jammu & Kashmir 245 Haryana 185 Bihar 64 Tamil Nadu 1043 Uttar Pradesh 483 Kerala 376 Rajasthan 804 Manipur 2 Mizoram 1 Goa 7 Andaman and Nicobar 11 Arunachal Pradesh 1 Tripura 2 Chhattisgarh 31 Uttarakhand 35 Puducherry 7 Chandigarh 21 Ladakh 15 TOTAL

             

9163

 



Figure No 2: Statewise Distribution of COVID-19 Cases in India

     

Ladakh Chandigarh Puducherry Uttarakhand Chhattisgarh Tripura Arunachal Pradesh Andaman and Nicobar Goa Mizoram Manipur Rajasthan Kerala Uttar Pradesh Tamil Nadu Bihar Haryana Jammu & Kashmir Andhra Pradesh Telangana Odisha Delhi Karnataka Himachal Pradesh Assam West Bengal Gujarat Madhya Pradesh Punjab Maharashtra Jharkhand

0

15 21

7 35

31 2

1 11 7

1 2

64
185

245
427

504 54

232 32

29
152

151 19

                     

804 376

483

     

1043

1154

                       

516 564

         

500

1000

1500

1996

2000 2500





Figure No 3: Date wise trend of COVID-19 Cases in India (N=9163) & Maharashtra (N=1996)

10000

9000

8000

7000

6000

5000

4000

3000

2000

1000

0

                       

INDIA

MAHARASHTRA

 

Figure No 4: Day wise trend of COVID-19 Cases in India (N=9163) & Maharashtra (N=1996)

10000

9000

8000

7000

6000

5000

4000

3000

2000

1000

0

            

INDIA

MAHARASHTRA

 



01/02/20 08/02/20

15/02/20 22/02/20

29/02/20 07/03/20

14/03/20 21/03/20

28/03/20 04/04/20

11/04/20

1ST DAY 4th DAY 7th DAY

10th DAY 13th DAY 16th DAY 19th DAY 22nd DAY 25th DAY 28th DAY 31st DAY 34th DAY 37th DAY 40th DAY 43rd DAY 46th DAY 49th DAY 52nd DAY 55th DAY 58th DAY 61st DAY 64th DAY 67th DAY 70th DAY 73rd DAY



Figure No 5: Datewise Distribution of COVID-19 New Cases in India & Maharashtra



1035

909 807

   

678 652

603 553

504 414

236

127138
119 115100 88

  

598

 

540 467

      

140

229210 235 187

148 149 110121 117



6183 63 79
49 30 49 27

69



13 11
5 8

19

26

17 23 20 22 17
11 10 10 15  10       15

11 101

11
95 5   42 2 64 5      2

INDIA

                    

MAHARASHTRA

   



10/03/20 11/03/20 12/03/20 13/03/20 14/03/20 15/03/20 16/03/20 17/03/20 18/03/20 19/03/20 20/03/20 21/03/20 22/03/20 23/03/20 24/03/20 25/03/20 26/03/20 27/03/20 28/03/20 29/03/20 30/03/20 31/03/20 01/04/20 02/04/20 03/04/20 04/04/20 05/04/20 06/04/20 07/04/20 08/04/20 09/04/20 10/04/20 11/04/20 12/04/20 13/04/20



Figure No 6: Datewise Distribution of COVID-19 Cases in Maharashtra (N= 1996) a) Datewise Distribution of New cases



229

235 210

187

     

100
67

3 4110114 5 1 2 2 3 5111023101521220272217 15

148 149

121 117 110



88

                     

b) DatewiseDistributionofCumulativecases

2500

2000

1500

1000

500 0

                        



09/03/20 11/03/20

06/04/20 08/04/20

13/03/20 15/03/20

10/04/20 12/04/20

17/03/20 19/03/20

21/03/20 23/03/20

25/03/20 27/03/20

29/03/20 31/03/20

02/04/20 04/04/20

09/03/20 11/03/20

06/04/20 08/04/20

13/03/20 15/03/20

10/04/20 12/04/20

17/03/20 19/03/20

21/03/20 23/03/20

25/03/20 27/03/20

29/03/20 31/03/20

02/04/20 04/04/20



Figure No 7: Daywise Distribution of COVID-19 Cases in Maharashtra (N= 1996) a) Daywise Distribution of New cases

                                        

b) DaywiseDistributionofCumulativecases

                                         

1ST DAY 3 2ND DAY 7 3RD DAY 18

1ST DAY 2ND DAY 3RD DAY 4TH DAY 5TH DAY 6TH DAY 7TH DAY 8TH DAY 9TH DAY

3 4

4TH DAY 18 5TH DAY 29 6TH DAY 33 7TH DAY 38 8TH DAY 39 9TH DAY 41

11 0

10TH DAY 43 11TH DAY 46 12TH DAY 51 13TH DAY 62 14TH DAY 72 15TH DAY 95 16TH DAY 105 17TH DAY 120 18TH DAY 122 19TH DAY 134 20TH DAY 154

10TH DAY 11TH DAY 12TH DAY 13TH DAY 14TH DAY 15TH DAY 16TH DAY 17TH DAY 18TH DAY 19TH DAY 20TH DAY 21ST DAY 22ND DAY 23RD DAY 24TH DAY 25TH DAY 26TH DAY 27TH DAY 28TH DAY 29TH DAY 30TH DAY 31ST DAY 32ND DAY 33RD DAY 34TH DAY 35TH DAY 36TH DAY

2 2 3

21ST DAY 181 22ND DAY 203 23RD DAY 220

20 27

24TH DAY 320
25TH DAY 335
26TH DAY 423
27TH DAY 490
28TH DAY 635 29TH DAY 748 30TH DAY 869

22 17

31ST DAY 1018
32ND DAY 1135 33RD DAY 1364

121
149

34TH DAY 1574 35TH DAY 1761 36TH DAY

229 210

1996

187
235

11 4

5 1

5 11

10 23

10 15

2
12

15
88

67

100

148 110

117



Figure No 8: Date wise Distribution of New Deaths due to COVID-19 in India and Maharashtra

       

24

18
15

10
7 77667

40
34 34

33

28
25

17

8



21

  

17

  

13 12 12

13

       

445 33



222222 11111111 1

0 0 0 0 0   0 0 0 0  0 0 0 0   0  0

                         

INDIA  MAHARASHTRA

 



12/03/20 13/03/20 14/03/20 15/03/20 16/03/20 17/03/20 18/03/20 19/03/20 20/03/20 21/03/20 22/03/20 23/03/20 24/03/20 25/03/20 26/03/20 27/03/20 28/03/20 29/03/20 30/03/20 31/03/20 01/04/20 02/04/20 03/04/20 04/04/20 05/04/20 06/04/20 07/04/20 08/04/20 09/04/20 10/04/20 11/04/20 12/04/20 13/04/20



Table No 3: District/ Corporation wise Distribution of COVID-19 cases in Maharashtra (N= 1996)

S.N O

. 1  Mumbai

. 2  Pune Municipal Corporation

. 3  Pimpri-Chinchwad Municipal Corporation

. 4  Pune

. 5  Thane Municipal Corporations

. 6  Kalyan-Dombivali Municipal Corporation

. 7  Navi Mumbai Municipal Corporation

. 8  Mira-Bhayandar Municipal Corporation

. 9  Vasai-Virar Municipal Corporation

. 10  Bhivandi-Nizampur Municipal Corporation

. 11  Raigad

. 12  Panvel Municipal Corporation

. 13  Thane

. 14  Ulhasnagar Municipal Corporation

. 15  Palghar

. 16  Ratnagiri

. 17  Yavatmal

. 18  Satara

. 19  Sangli

. 20  Nagpur

. 21  Nagpur Municipal Corporation

. 22  Ahmednagar Municipal Corporation

. 23  Ahmednagar

. 24  Buldhana

. 25  Aurangabad Municipal Corporation

. 26  Aurangabad

. 27  Latur Municipal Corporation

. 28  Osmanabad

. 29  Solapur Municipal Corporation

. 30  Kolhapur

. 31  Kolhapur Municipal Corporation

. 32  Nashik Municipal Corporation

33Nashik 2000

 



TOTAL CASES

 

NEW CASES



TOTAL DEATHS



NEW DEATHS



1298

 

152



92



16



233

 

5



30



3

23

1

0

0



7



 

0

 



0





0



44

15

3

0



46

 

11



2



0



45

 

9



3



1

42

6

1

0



21

 

7



3



0



1

 

1



0



0



4

 

4



0



0

8

1

1

0

6

0

0

0



1

 

0



0



0



4

 

0



1



0



5

 

0



1



0



4

 

0



0



0



6

 

0



2



0



26

 

0



0



0



1

 

1



0



0

41

16

1

0



16



 

0

 



0





0



10

0

0

0

13

0

1

0



16

 

0



1



0

3

0

0

0



8

 

0



0



0

4

0

0

0



1

 

1



1



1



1

 

0



0



0



5

 

0



0



0



1

 

0



0



0

DISTRICT / CORPORATION

. 34  Jalgaon Municipal Corporation

. 35  Jalgaon

. 36  Jalna

. 37  Hingoli

1 0 1 0 1 0 0 0 1 0 0 0 1 0 0 0

 

38Washim 1000 39Gondia 1000

TOTAL

1996 235 148 21

51 1 0 154 2 0 120 0 0

. 40  Amaravati Municipal Corporation

. 41  Malegaon Municipal Corporation

. 42  Akola Municipal Corporation

43Beed 1000 44Dhule 1010

. 45  Sindhudurg 1000

. 46  Other States 9000





Figure No 9: District/ Corporation wise Distribution of COVID-19 Cases in Maharashtra (N= 1996)

                                                 

MUMBAI PUNE MUNICIPAL CORPORATION PIMPRI-CHINCHWAD MUNICIPAL CORPORATION PUNE THANE MUNICIPAL CORPORATIONS KALYAN-DOMBIVALI MUNICIPAL CORPORATION NAVI MUMBAI MUNICIPAL CORPORATION MIRA-BHAYANDAR MUNICIPAL CORPORATION VASAI-VIRAR MUNICIPAL CORPORATION BHIVANDI-NIZAMPUR MUNICIPAL CORPORATION RAIGAD PANVEL MUNICIPAL CORPORATION THANE ULHASNAGAR MUNICIPAL CORPORATION PALGHAR RATNAGIRI YAVATMAL SATARA SANGLI

1298

NAGPUR NAGPUR MUNICIPAL CORPORATION AHMEDNAGAR MUNICIPAL CORPORATION AHMEDNAGAR BULDHANA AURANGABAD MUNICIPAL CORPORATION AURANGABAD LATUR MUNICIPAL CORPORATION OSMANABAD SOLAPUR MUNICIPAL CORPORATION KOLHAPUR KOLHAPUR MUNICIPAL CORPORATION NASHIK MUNICIPAL CORPORATION NASHIK JALGAON MUNICIPAL CORPORATION JALGAON JALNA HINGOLI WASHIM GONDIA AMARAVATI MUNICIPAL CORPORATION MALEGAON MUNICIPAL CORPORATION AKOLA MUNICIPAL CORPORATION BEED DHULE SINDHUDURG OTHER STATES

26 1

1

1

5

1

2

1

1

1

1

1

1

5

233 23

7
44

21 1

4 8 6

1 4 5 4 6

46 45 42

41 16

10 13 16

3 8 4

15

12 1

1 1 9



Figure No 10: Age wise distribution of COVID-19 Cases in Maharashtra (N = 1761)*

   

66

1-10 YRS

127

11-20 YRS

170

61-70 YRS

67

20 4 1

351

352

328
275

31-40 YRS

        

21-30 YRS

41-50 51-60 YRS YRS

71-80 81-90 91-100 101-110 YRS YRS YRS YRS

*Details are available for 1761 cases
Figure No 11: Sex wise distribution of COVID-19 Cases in Maharashtra (N=1756) *

*Details are available for 1756 cases

685; 39%

Sex wise Cases

     

MALE FEMALE

  

1071; 61%





Figure No 12: Sexwise distribution of COVID-19 Deaths in Maharashtra (N= 148)



Sex Wise Deaths



49; 33%



MALE FEMALE

  

99; 67%

Figure No 13: Total samples tested for COVID-19 in Maharashtra (N=39725)*

*Details are available for 39725 tested samples

Table No 4: COVID-19 Testing status in Maharashtra.(N=39725)*

    

4%

96%



NEGATIVE RESULT POSITIVE RESULT

  

 

STATUS

GOVERNMENT LABS

PRIVATE LABS



TOTAL



SAMPLES TESTED

22707

17018

39725

NEGATIVE

21474 (94.57)

16490 (96.90)

37964 (95.57)

 

POSITIVE

 

1233 (5.43)

528 (3.10)

1761 (4.43)

*Details are available for 39725 tested samples





Figure No 14: Status of COVID-19 Cases in Maharashtra (N=1531)*



   

127; 8%

217; 14% 27; 2%

169; 11%

991; 65%

        

TOTAL CASES ASYMPTOMATIC

TOTAL CASES SYMPTOMATIC TOTAL CASES CRITICAL TOTAL CASES RECOVERED TOTAL DEATH

    

*Details are available for 1531 cases

Figure No 15: Current Status of COVID-19 admitted Patients in Maharashtra (N=1187)*

*Details are available for 1187 cases

      

27; 2% 169; 14%

991; 84%

 

TOTAL CASES ASYMPTOMATIC

TOTAL CASES SYMPTOMATIC TOTAL CASES CRITICAL

   





Table No 5: 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

2ND WEEK

3

13

6

3

20

2336

2

2761

3rd WEEK

3

15



11

400



26



8042

2

 

17238

4th WEEK

3

53



12

3089



59



16169

25

 

40235

5th WEEK

34

108



38

12462



144



24811

257

 

70635

6th WEEK

101

696

420

31506

254

35408

2965

77262

7th WEEK

223

3536



2860

74386



488



55743

13716

 

80174

8th WEEK

724

51914



9043

92472



814



62589

78797

 

80904

9th WEEK

1112

103321



28786

124632



1089



130759

 

81077

10thWEEK

4125

122653

37145

147577

1693

152446

81601

11thWEEK

7447

273808



67757



3271



 

82351

12THWEEK

395030



85351



6238



 

82930

13th WEEK









 

83369

Table No 6:Doubling time of COVID-19 cases comparison with other countries

No. of cases

CHINA

KOREA

INDIA

USA

FRANCE

 

ITALY

JAPAN

SPAIN

IRAN

100



1ST DAY

31ST DAY

42ND DAY

 

44TH DAY

41ST DAY

25TH DAY

33RD DAY

 

32RD DAY



8TH DAY

1000

5TH DAYS

37TH DAY

58TH DAY

53RD DAY

49TH DAY

 

31ST DAY

 

63RD DAY

39TH DAY

13TH DAY

2000

6TH DAY

39TH DAY

63RD DAY

56TH DAY

52ND DAY

33RD DAY

74TH DAY

41ND DAY

14TH DAY

4000

8TH DAY

42ND DAY

66TH DAY

60ST DAY

55TH DAY

 

37TH DAY

79TH DAY

43TH DAY

17TH DAY

8000



11TH DAY

54TH DAY

72TH DAY

 

61ST DAY

60TH DAY

40TH DAY

 

46TH DAY



21ST DAY

16000

14TH DAY

62nd DAY

64TH DAY

 

44TH DAY

 

50TH DAY

28TH DAY

32000

19TH DAY

64TH DAY

68TH DAY

50TH DAY

53RD DAY

38TH DAY

64000

28TH DAY

67TH DAY

73RD DAY

 

55TH DAY

57TH DAY

50TH DAY

128000

71ST DAY

 

67TH DAY

65TH DAY

256000







 

73RDDAY

 



512000





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