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Bengaluru Using Technology To Test, Trace And Treat COVID-19 Cases In The City

Bengaluru is tackling the COVID-19 pandemic using their IT resource base and technology like Global Positioning System (GPS)

Bengaluru Using Technology To Test, Trace And Treat COVID-19 Cases In The City
Highlights
  • Bengaluru authorities have set up a ‘war room’ in the city
  • Using GPS containment zones are identified and heat map shows the status
  • We can scale up the testing in a cluster based on heat map : Nodal Officer 

New Delhi: COVID-19 pandemic has brought the world economy down to its knees. government and authorities look for different measures to control the spread of the infection. Battling against COVID-19 in a city like Bengaluru is a huge challenge. But the city has taken inspiration from countries like South Korea and Singapore, Bengaluru is tackling the pandemic using their IT resource base and technology like Global Positioning System (GPS).

Bengaluru authorities have set up a ‘war room’ in the city’s corporate headquarters and are working around the clock – gathering data, processing it – and deciding the course of action based on these inputs.

A COVID-19 task force, comprising IAS officers with expertise in the fields of technology, medicine and healthcare have been assigned to work in this war room.

Also Read: Indian Council for Medical Research Fast-Tracks Roll Out Of Global COVID-19 ‘Solidarity’ Trial

An IAS trainee, working in the war room explained to NDTV,

So we have different containment zones marked on our GPS. On screen, if we open one of the containment zone in the city of Bengaluru,  say, Padanaipura, it will show me the first case reported in the containment zone, in this zone, it was on April 6 and this is what we call the time series.

He further explained,

Here using exact location via GPS, with an accuracy of 5 meters, we have plotted it on the heat map. This helps us understand the progression of cases in this containment zone, which as of now has reached 46 cases, from April 6 till today.

Also Read: COVID-19 Pandemic: The Coronavirus May Never Go Away, Warns The World Health Organization

The IAS trainee further explained that the data s recorded in a heat map, where the colour starts with yellow and based on the concentration of cases it moves on to orange and red.

So, we will see that the red spots are most concentrated area and accordingly we can scale up the testing in this particular cluster, he added.

The Nodal officer in charge of the war room told NDTV,

Technology helps us to track the cases in real-time and the data is dynamic in nature. So, we can ensure there’s no gap left behind in tracing, testing and treating of the COVID-19 cases. Using technology we are able to find out the right people to be treated, right people to be tested and the right household to be contacted.

World

26,14,68,997Cases
22,22,61,229Active
3,40,08,183Recovered
51,99,585Deaths
Coronavirus has spread to 196 countries. The total confirmed cases worldwide are 26,14,68,997 and 51,99,585 have died; 22,22,61,229 are active cases and 3,40,08,183 have recovered as on November 29, 2021 at 3:42 am.

India

3,45,72,523 8,774Cases
1,05,6911,328Active
3,39,98,278 9,481Recovered
4,68,554 621Deaths
In India, there are 3,45,72,523 confirmed cases including 4,68,554 deaths. The number of active cases is 1,05,691 and 3,39,98,278 have recovered as on November 28, 2021 at 2:30 am.

State Details

State Cases Active Recovered Deaths
Maharashtra

66,33,612 507

11,905 248

64,80,799 738

1,40,908 17

Kerala

51,29,359 4,741

49,152 957

50,40,528 5,144

39,679 554

Karnataka

29,95,285 322

6,783 143

29,50,306 176

38,196 3

Tamil Nadu

27,24,731 740

8,382 36

26,79,895 765

36,454 11

Andhra Pradesh

20,72,446 248

2,158 5

20,55,856 253

14,432

Uttar Pradesh

17,10,373 5

86 5

16,87,377 9

22,910 1

West Bengal

16,14,152 701

7,820 27

15,86,882 717

19,450 11

Delhi

14,40,834 27

290 11

14,15,448 37

25,096 1

Odisha

10,48,492 264

2,222 6

10,37,864 255

8,406 3

Chhattisgarh

10,06,733 27

326 7

9,92,814 20

13,593

Rajasthan

9,54,741 26

187 13

9,45,599 13

8,955

Gujarat

8,27,382 28

291 17

8,16,999 45

10,092

Madhya Pradesh

7,93,120 23

112 9

7,82,480 14

10,528

Haryana

7,71,654 11

159 1

7,61,441 10

10,054

Bihar

7,26,212 3

39 6

7,16,510 9

9,663

Telangana

6,75,479 160

3,545 11

6,67,946 148

3,988 1

Assam

6,16,435 123

2,720 71

6,07,624 189

6,091 5

Punjab

6,03,190 17

313 22

5,86,284 39

16,593

Jharkhand

3,49,216 20

109 0

3,43,967 20

5,140

Uttarakhand

3,44,183 14

150 6

3,36,626 8

7,407

Jammu And Kashmir

3,36,386 149

1,724 5

3,30,189 141

4,473 3

Himachal Pradesh

2,26,941 82

809 18

2,22,287 97

3,845 3

Goa

1,78,839 40

275 9

1,75,183 31

3,381

Mizoram

1,34,279 358

4,117 110

1,29,672 466

490 2

Puducherry

1,28,860 35

326 5

1,26,662 30

1,872

Manipur

1,25,117 19

673 1

1,22,474 18

1,970 2

Tripura

84,784 13

89 9

83,874 3

821 1

Meghalaya

84,414 20

308 27

82,635 44

1,471 3

Chandigarh

65,443 5

52 4

64,571 1

820

Arunachal Pradesh

55,269 9

37 4

54,952 5

280

Sikkim

32,211 4

114 5

31,694 9

403

Nagaland

32,100 4

135 1

31,269 5

696

Ladakh

21,494 27

249 6

21,032 21

213

Dadra And Nagar Haveli

10,683

1 0

10,678

4

Lakshadweep

10,394

28 1

10,315 1

51

Andaman And Nicobar Islands

7,680 2

5 2

7,546

129

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