Coronavirus Outbreak: Understanding What Is Flattening The Curve And Its ImportanceExperts explain the meaning of the term “Flattening the curve” of #Coronavirus and the importance of the ongoing lockdown 

New Delhi: On March 24, Prime Minister Narendra Modi announced a complete lockdown in India for 21 days (starting March 25) due to the spread of the highly contagious virus – COVID-19 that started last December from the Chinese city of Wuhan and soon spread to over 180 countries (according to Johns Hopkins University, national public health agencies). Since then India has come to a standstill as 1.3 billion people practice social distancing in the hope to break the chain of the infection in the country. The novel Coronavirus has spread to many parts of the country and as of April 1, according to Ministry of Health and Family Welfare, India confirmed 1637 cases, of which, 38 people have lost their lives due to COVID-19.

Also Read: Coronavirus Outbreak: Experts Explain What India Needs To Focus On, In Its Fight Against The Pandemic

Explaining the impact of the virus and why lockdown at this crucial time has become the only survival option, an expert from the Indian Council of Medical Research (ICMR) adds,

Think of your health care system as one car, which can only accommodate a certain number of people at once. What happens, if there is an emergency and you want to accommodate 100 people in one car, you won’t be able to do it, as a result, people will have to wait for their chance or their turn to ride. Similarly,  if COVID-19 spreads and infect more people at once there will be a shortage of hospital beds, hospital facilities for example ventilators and other equipment which are needed. To avoid this surge of coronavirus cases the important thing is to break the chain of infection and flatten down the curve, which can only happen if public practice social-distancing and isolation from others.

Also Read: Coronavirus Outbreak: A Complete List Of Places In India Where You Can Get Tested For COVID-19

Not just India, many other countries too are under lockdown. The worst-affected in the world – Italy that reported 10,779 deaths to date has also confirmed the positive impact of lockdown. According to Italian government adviser Luca Richeldi, the number of new people being taken into intensive care with the disease each day is dropping, courtesy Italy’s 3-week lockdown.

In China, which was earlier the epicentre of the virus, according to a paper by researchers in China, the United States and Britain, published in the journal Science, the lockdown in China may have prevented more than 700,000 new cases by delaying the spread of the virus.

As India goes through its 21-day lockdown, we speak to the experts to know about what “Flattening The Curve” being used in the context of this pandemic means and the role lockdowns play in the process.

Also Read: Why Does Coronavirus Spread So Easily? Experts Explain

What is Flattening The Curve?

Explaining what “Flattening the curve example of coronavirus” means, a spokesperson from Indian Council Of Medical Research said,

In Epidemiology, the idea to slow the spread of the virus or break the chain of infection in the community at one given time so that number of cases of the pandemic in a day gets reduced, which can then lessen the burden on hospitals, health care system in the country and healthcare staff is known as “flattening the curve”.

The spokesperson further explaining the term and added,

The crucial thing here to understand is that we all must know that no country in this world is prepared enough to treat all its population at one given time. Our health care system has a capacity, there is a certain number of beds, ventilators, resources and health care staff. If the pandemic becomes huge and there are more and more number of people infected with the virus, our health care system will result in selective servicing, meaning doctors or health care facilities will be limited. A tough decision from the system will need to be taken on who gets treatment and who doesn’t. Since this virus spreads at an exponential level (when the growth rate becomes ever more rapid in proportion to the growing total number or size), there might be a shortage of health care facilities and this gap between the people affected by the virus and facilities there in the country to treat them is where the curve comes from.

What Does The Curve Signify?

Explaining what the curve signifies, Los Angeles County Department of Public Health has recently come up with a visualisation depicting why the need of the hour is “flattening the curve”. The dotted line shows the capacity of the healthcare system, if there are more cases reported on a given day, the curve will move above the dotted line, which means the virus is spreading fast and is beyond the scope of current facilities to cope. A curve lower than the dotted line shows that fewer people are diagnosed with the virus and they all can be managed within the current capacity of the healthcare system.”

Also Read: COVID-19: What Tests Are Needed? Who Should Take The Coronavirus Test? All You Need To Know

Why It Is Important To Flatten The Curve?

Highlighting why it is necessary to keep the curve flattened, Dr Daniela Cirilloa, Medical Microbiologist, Milano, Italy gave an example of her own country and said,

In Italy, what we have learned, the need to keep this curve down is very important. Because if the spread is higher, the load on facilities will be higher, as a result, the chances of getting your doctors affected become higher. We must learn to protect the doctors because if you start losing your healthcare workers or start quarantining them then your health system will collapse. We had TO face a lot of load in the health care system in the last few days and have lost a lot of doctors.

Dr Arvind Kumar, Chairman, Center for Chest Surgery and Director, Institute of Robotic Surgery at Sir Ganga Ram Hospital (SGRH), Founder & Managing Trustee, Lung Care Foundation adds,

Keeping the curve down essentially means diminishing the rate at which new cases occur. If there will be lesser cases, it will prevent in overtaxing the finite resources (which in this case is your hospital, health care system and facilities).

How Can The Curve Be Flattened?

According to the country’s apex health research body – Indian Council of Medical Research (ICMR), strictly-implemented social-distancing measures will reduce the overall expected number of cases of the novel coronavirus pandemic by 62 per cent.

Explaining the importance of social-distancing and how it can curb the spread of the infection, a spokesperson said,

Coronavirus is a disease that spreads from one person to another. The coronavirus infected person tends to give the infection to one or more others, who go on to give it to more people, and the chain continues. Now, to break the chain of infection, social-distancing becomes a key player.

Also Read: Coronavirus Outbreak: Here Are The Answers To All Your Frequently Asked Questions On COVID-19

Is India Effective In Flattening The Curve Of Coronavirus?

Expressing concerns over the lack of data and testing that has been done in India for coronavirus, Dr Sanjay Nagral, Surgeon Jaslok Hospital, Mumbai said,

First of all it is very early days of the coronavirus, so the trends, data and studies will change, as we still don’t know the denominator. My worry is that India did not test that much and adequately, if I talk about Mumbai, for at least 10 and 15 days, there was just one centre in central Mumbai and not in the suburbs areas. So access to testing it is still bit of a problem and therefore if you don’t test enough you will get certain data and based on that data you might see the positive signs but we need to know that this data present out there has some limitations to it.

Also Read: Fight Against Coronavirus: A Look Inside India’s First Dedicated COVID-19 Hospital In Mumbai

Shamika Ravi, Director Of Research, Brookings India referring to the data (long term trend) from John Hopkins points out that India over the period of time has shown a downward trend and has flattened the curve slightly. She adds,

The actual number of cases will continue to rise, it is important that people understand this.  If you look at pre-March 23 data, the rate at which the confirmed cases of coronavirus in India were rising, it was a rate at which we were doubling every three days. And from March 23 onwards that growth rate has declined, which means we are still growing but we are now growing at the rate where we are doubling every five days.

Further talking about the policies and lockdown that has come in effect in the wake of coronavirus outbreak in the country, Ms Ravi added,

The reason why we are seeing a huge expansion of coronavirus cases in US or EU countries is that those countries took the necessary steps after a certain time period. In India’s case,  the government very proactively from the third week of January started airlifting students from Wuhan and other affected areas. The students were not brought in and let loose into the population, they were isolated and were kept in camps and then screening and surveillance started to happen. These were some proactive and very good steps we took at the start and because of that we started to see a slight flattening of the curve.

She further said, “Whatever the number of tests we are doing, the confirmed cases for every 100 tests is pretty low. We only have 2 per cent of positive tests for every 100 tests and this is remarkably low if you compare it with that of US, where it is about 15-18 per cent and Italy where there are some 18-20 positive cases per 100 tests. So, if we compare, I think the transmission has been slow, it has definitely bought us more time and what we do with this time is very critical right now.”

World

4,44,51,707Cases
1,32,31,846Active
3,00,46,052Recovered
11,73,809Deaths
Coronavirus has spread to 189 countries. The total confirmed cases worldwide are 4,44,51,707 and 11,73,809 have died; 1,32,31,846 are active cases and 3,00,46,052 have recovered as on October 29, 2020 at 3:43 am.

India

80,40,203 49881Cases
6,03,687 -7116Active
73,15,989 56480Recovered
1,20,527 517Deaths
In India, there are 80,40,203 confirmed cases including 1,20,527 deaths. The number of active cases is 6,03,687 and 73,15,989 have recovered as on October 29, 2020 at 2:30 am.

State & District Details

State Cases Active Recovered Deaths
DistrictCases
Mumbai45,478
Thane13,660
Pune9,920
Mumbai Suburban5,363
Aurangabad1,974
Nashik1,575
Raigad1,462
Palghar1,421
Solapur1,291
Jalgaon1,039
Akola757
Nagpur692
Kolhapur646
Satara629
Ratnagiri350
Amravati291
Dhule228
Hingoli208
Jalna201
Ahmednagar190
Nanded176
Yavatmal150
Sangli145
Latur139
Osmanabad125
Sindhudurg114
Buldhana88
Parbhani78
gondia69
Beed54
Nandurbar42
Gadchiroli42
Bhandara41
Chandrapur32
Washim13
Wardha11

16,60,766 6,738

1,30,286 1,783

14,86,926 8,430

43,554 91

DistrictCases
Kurnool795
Krishna557
Guntur511
Anantapur428
East Godavari356
Chittoor319
Sri Potti Sriramulu Nell*296
Y.S.R.205
West Godavari199
Srikakulam183
Prakasam104
Visakhapatnam103
Vizianagaram23

8,14,774 2,949

26,622 678

7,81,509 3,609

6,643 18

DistrictCases
Udupi1,176
Kalaburagi669
Yadgir538
Bengaluru Urban529
Raichur369
Mandya346
Belagavi337
Bidar219
Hassan205
Davangere204
Vijayapura201
Dakshina Kannada179
Chikkaballapura149
Mysuru107
Bagalkote103
Uttara Kannada95
Shivamogga67
Dharwad61
Ballari60
Gadag45
Bengaluru Rural40
Tumakuru36
Kolar29
Haveri24
Chikkamagaluru19
Chitradurga14
Koppal5
Kodagu4
Ramanagara3
Chamarajanagara0

8,12,784 3,146

68,180 3,169

7,33,558 6,260

11,046 55

DistrictCases
Chennai23,324
Chengalpattu1,314
Thiruvallur774
Villupuram509
Kanchipuram503
Tiruvannamalai496
Cuddalore477
Ariyalur444
Tirunelveli433
Tuticorin333
Kallakurichi324
Madurai322
Salem258
Coimbatore188
Virudhunagar185
Dindigul175
Perambalur133
Ranipet133
Thanjavur130
Theni129
Tiruchirappalli119
Ramanathapuram119
Tiruppur116
Kanniyakumari110
Tenkasi103
Nagapattinam99
Karur88
Namakkal83
Erode75
Vellore71
Thiruvarur67
Pudukkottai53
Sivaganga46
Tirupathur45
Krishnagiri43
The Nilgiris17
Dharmapuri15

7,16,751 2,516

26,356 1,378

6,79,377 3,859

11,018 35

DistrictCases
Gautam Buddha Nagar1,119
Agra933
Ghaziabad794
Meerut504
Lucknow386
Saharanpur298
Kanpur Nagar286
Moradabad252
Varanasi243
Hapur225
Aligarh215
Basti214
Amethi206
Rampur203
Jaunpur194
Firozabad190
Barabanki168
Gorakhpur166
Bulandshahr166
Siddharth Nagar159
Ghazipur159
Bijnor157
Deoria143
Azamgarh138
Sant Kabeer Nagar132
Mathura129
Ayodhya120
Muzaffarnagar117
Sambhal116
Sultanpur97
Ambedkar Nagar92
Maharajganj85
Amroha80
Rae Bareli78
Bahraich73
Kheri72
Kannauj69
Baghpat68
Kushi Nagar67
Bhadohi60
Ballia60
Gonda59
Etah52
Hardoi49
Balrampur49
Mau48
Mainpuri46
Etawah46
Hathras43
Unnao42
Jalaun41
Jhansi41
Shamli40
Chandauli38
Auraiya37
Farrukhabad36
Sitapur32
Prayagraj30
Banda27
Shahjahanpur25
Shravasti23
Budaun23
Mirzapur22
Bareilly17
Kasganj16
Pratapgarh15
Pilibhit15
Sonbhadra10
Kaushambi6
Kanpur Dehat4
Chitrakoot4
Lalitpur3
Hamirpur3
Mahoba3
Fatehpur3

4,76,034 1,980

25,487 780

4,43,589 2,742

6,958 18

DistrictCases
Kannur357
Kasaragod333
Palakkad224
Malappuram119
Kollam118
Thrissur106
Thiruvananthapuram104
Pathanamthitta98
Kozhikode90
Alappuzha76
Kottayam73
Ernakulam60
Idukki40
Wayanad36

4,11,464 8,790

93,369 1,103

3,16,692 7,660

1,403 27

DistrictCases
North West5,463
Central4,817
West4,768
New Delhi3,405
North3,059
East2,472
South East2,446
South West2,391
South2,329
North East1,914
Shahdara1,580

3,70,014 5,673

29,378 1,505

3,34,240 4,128

6,396 40

DistrictCases
Kolkata2,777
Howrah1,435
24 Paraganas North1,031
Hooghly604
24 Paraganas South281
Maldah235
Dinajpur Uttar216
Coochbehar210
Birbhum206
Medinipur West159
Medinipur East153
Nadia139
Purba Bardhaman130
Murshidabad125
Bankura116
Darjeeling97
Jalpaiguri88
Paschim Bardhaman70
Purulia66
Dinajpur Dakshin50
Alipurduar39
Kalimpong18
Jhargram9

3,61,703 3,924

37,111 61

3,17,928 3,925

6,664 60

DistrictCases
Ganjam581
Jajapur322
Khordha238
Baleshwar190
Kendrapara164
Cuttack155
Bhadrak137
Balangir129
Puri103
Sundargarh102
Jagatsinghapur91
Nayagarh86
Mayurbhanj73
Nuapada69
Gajapati61
Dhenkanal36
Boudh34
Kendujhar34
Deogarh33
Kalahandi33
Sonepur29
Kandhamal28
Anugul26
Malkangiri20
Bargarh16
Koraput16
Sambalpur16
Jharsuguda8
Nabarangpur2
Rayagada2

2,85,482 1,540

14,068 487

2,70,130 2,015

1,284 12

DistrictCases
Hyderabad2,475
Ranga Reddy183
Suryapet87
Jagitial77
Nizamabad76
MedchalMalkajgiri75
Mancherial43
YadadriBhuvanagiri40
Jogulamba Gadwal40
Vikarabad40
Nalgonda33
Warangal Urban32
Mahabubnagar30
Sangareddy26
Khammam26
Adilabad22
Nirmal21
Karimnagar17
RajannaSircilla16
Medak11
Kamareddy11
Mahabubabad10
Jayashankar Bhupalapally9
Nagarkurnool8
Kumuram Bheem Asifabad8
Jangoan8
Siddipet7
Peddapalli5
Bhadradri Kothagudem5
Warangal Rural4
Mulugu3
Narayanpet3
Wanaparthy1

2,35,656 1,504

17,979 63

2,16,353 1,436

1,324 5

DistrictCases
Patna279
Bhagalpur266
Rohtas256
Khagaria253
Begusarai243
Madhubani199
Munger188
Jehanabad178
Katihar175
Darbhanga143
Samastipur139
Siwan139
PurbiChamparan138
Purnia135
Banka134
Buxar134
Nalanda123
Gopalganj123
Nawada122
Sheikhpura118
Gaya115
Kaimur (bhabua)105
Bhojpur103
Saran101
Muzaffarpur96
Saharsa88
Supaul87
Vaishali87
Madhepura82
Kishanganj75
Aurangabad75
Sitamarhi73
Lakhisarai72
Araria68
Pashchim Champaran57
Arwal52
Jamui47
Sheohar20

2,13,576 491

8,329 517

2,04,178 1,004

1,069 4

DistrictCases
Kamrup Metro276
Golaghat203
Nagaon143
Hojai89
Dima Hasao86
Karimganj85
Tinsukia84
Cachar80
Dibrugarh61
Hailakandi57
Lakhimpur57
Marigaon50
Dhemaji47
Kamrup42
Kokrajhar37
Dhubri30
Charaideo29
Barpeta28
Udalguri28
Sonitpur27
Jorhat24
Nalbari23
Darrang20
Sivasagar20
Goalpara19
Biswanath16
Baksa14
KarbiAnglong13
Bongaigaon12
Chirang6
West KarbiAnglong5
South SalmaraMancachar4
Majuli2

2,05,237 448

11,803 1,042

1,92,517 1,487

917 3

DistrictCases
Jaipur2,177
Jodhpur1,748
Udaipur724
Bharatpur563
Kota503
Nagaur500
Ajmer379
Dungarpur374
Pali352
Jhalawar329
Bhilwara250
Sikar231
Chittorgarh188
Tonk171
Jalore164
Rajsamand140
Sirohi130
Bikaner112
Banswara91
Alwar90
Churu81
Jhunjhunu64
Dausa61
Dholpur60
Baran59
Jaisalmer53
Barmer34
Hanumangarh31
SawaiMadhopur26
Karauli17
Pratapgarh14
Ganganagar8
Bundi5

1,91,629 1,785

15,708 241

1,74,044 2,016

1,877 10

DistrictCases
Bilaspur100
Korba100
Mungeli87
Baloda Bazar85
Jashpur77
Janjgir-Champa56
Mahasamund54
Rajnandgaon52
Kabirdham52
Raigarh47
Raipur46
Balod41
Korea39
Durg31
Bemetara21
Kanker19
Balrampur17
Surguja14
Gariyaband10
Surajpur9
Dhamtari6
Bijapur2
Bastar2
Dantewada0
Kondagaon0
Narayanpur0
Sukma0

1,81,583 1,929

22,167 474

1,57,480 1,400

1,936 55

DistrictCases
Ahmadabad17,125
Surat2,311
Vadodara1,555
Gandhinagar410
Mahesana159
Banas Kantha147
Bhavnagar146
Rajkot135
Arvalli134
Mahisagar125
Anand107
PanchMahals107
Patan105
SabarKantha101
Kachchh99
Kheda98
Jamnagar63
Bharuch56
Botad55
Surendranagar55
Valsad47
GirSomnath45
Dohad43
Chhotaudepur37
Naysari35
Junagadh31
Narmada25
DevbhumiDwarka22
Amreli16
Porbandar11
Tapi6
Dang5
Morbi4

1,69,891 980

13,332 133

1,52,858 1,107

3,701 6

DistrictCases
Indore3,839
Bhopal1,880
Ujjain799
Burhanpur351
Neemuch319
Jabalpur276
East Nimar266
Sagar228
Gwalior211
Khargone196
Dewas140
Dhar132
Mandsaur112
Morena109
Bhind87
Raisen71
Barwani60
Ratlam51
Rewa39
Shajapur39
Hoshangabad37
Vidisha37
Chhatarpur35
Betul35
Rajgarh31
Dindori29
Sheopur26
Damoh26
Satna24
Anuppur22
Panna20
Tikamgarh18
Sidhi17
Narsinghpur17
Chhindwara16
Agar Malwa15
Mandla15
Shivpuri15
Jhabua14
Shandol14
Singrauli13
Ashoknagar13
Datia12
Sehore12
Umaria10
Balaghat9
Guna8
Harda4
Alirajpur3
Katni3
Seoni2
Niwari0

1,69,271 788

10,094 259

1,56,264 1,032

2,913 15

DistrictCases
Gurugram2,950
Faridabad867
Sonipat404
Rohtak145
Palwal120
Jhajjar114
Karnal104
Hisar98
Ambala93
Panipat78
Nuh68
Bhiwani60
Rewari56
Kurukshetra55
Sirsa50
Kaithal48
Mahendragarh47
CharkiDadri43
Panchkula39
Fatehabad38
Jind38
Yamunanagar19

1,62,223 1,518

11,014 562

1,49,451 948

1,758 8

DistrictCases
Amritsar485
Jalandhar297
Ludhiana293
Tarn Taran163
Gurdaspur154
Hoshiarpur140
S.A.S Nagar137
Patiala132
Sangrur107
Shahid Bhagat Singh Nagar (Nawanshahr)99
Pathankot86
Rupnagar (Ropar)74
Faridkot74
Sri Muktsar Sahib71
Moga65
Bathinda60
Fatehgarh Sahib57
Fazilka53
Firozepur50
Kapurthala44
Mansa31
Barnala25

1,32,263 526

4,239 150

1,23,866 356

4,158 20

DistrictCases
East Singhbum170
Ranchi148
Hazaribagh110
Garhwa80
Ramgarh75
Koderma58
Simdega48
Dhanbad32
Gumla28
Palamu27
West Singhbhum21
SaraikelaKharsawan20
Giridih19
Bokaro16
Latehar14
Khunti10
Lohardaga8
Deoghar5
Dumka5
Pakur4
Jamtara2
Godda2
Chatra1
Sahebganj0

1,00,569 345

5,363 111

94,326 452

880 4

DistrictCases
Anantnag395
Srinagar300
Kulgam295
Baramulla271
Shopian255
Kupwara231
Bandipora175
Udhampur155
Ramban151
Jammu138
Budgam110
Pulwama108
Kathua53
Rajouri39
Ganderbal37
Poonch35
Doda27
Reasi26
Samba25
Kishtwar10
Mirpur0
Muzaffarabad0

93,213 536

6,976 14

84,782 546

1,455 4

DistrictCases
Dehradun370
Nainital323
Tehri Garhwal110
Haridwar94
Udam Singh Nagar83
Almora71
Champawat45
Pithoragarh43
Chamoli36
PauriGarhwal36
Bageshwar31
Rudraprayag30
Uttar Kashi24

61,261 304

3,696 169

56,556 471

1,009 2

DistrictCases
South Goa69
North Goa57

42,968 221

2,402 18

39,974 196

592 7

DistrictCases
Pondicherry111
Mahe4
Karaikal2
Yanam0

34,583 101

3,686 55

30,307 154

590 2

DistrictCases
Dhalai196
Sepahijala174
Gomati74
South Tripura53
Unakoti49
West Tripura45
Khowai24
North Tripura14

30,566 113

1,696 58

28,525 170

345 1

DistrictCases
Hamirpur117
Kangra105
Una41
Solan32
Chamba29
Bilaspur21
Mandi21
Sirmaur11
Shimla10
Kullu4
Kinnaur2
Lahaul And Spiti0

21,149 332

2,646 125

18,203 205

300 2

DistrictCases
Churachandpur32
Kangpokpi26
Imphal West21
Thoubal18
Imphal East10
Tengnoupal9
Bishnupur7
Senapati6
Chandel5
Kamjong5
Ukhrul4
Jiribam3
Pherzawl3
Kakching2
Tamenglong2
Noney1

17,809 205

4,233 13

13,420 212

156 6

DistrictCases
Changlang31
Papum Pare8
Lohit3
Namsai2
West Siang1
East Siang1
Upper Siang1
Tawang1
PakkeKessang1
West Kameng0
Upper Subansiri0
Tirap0
Siang0
Shi Yomi0
Anjaw0
Lower Subansiri0
Lower Dibang Valley0
Longding0
Leparada0
KurungKumey0
KraDaadi0
Kamle0
East Kameng0
Dibang Valley0
Lower Siang0

14,580 108

2,064 75

12,480 183

36

DistrictCases
Chandigarh313

14,212 60

629 21

13,359 80

224 1

DistrictCases
East Khasi Hills22
West Garo Hills5
South West Garo Hills4
North Garo Hills1
West Jaintia Hills1
West Khasi Hills1
East Garo Hills0
East Jaintia Hills0
Ribhoi0
South Garo Hills0
South West Khasi Hills0

9,226 90

1,364 47

7,777 134

85 3

DistrictCases
Dimapur20
Mon8
Kohima7
Kiphire3
Tuensang3
Peren2
Phek1
Longleng0
Mokokchung0
Wokha0
Zunheboto0

8,824 98

1,845 20

6,945 117

34 1

DistrictCases
Kargil77
LehLadakh43

6,085 61

642 47

5,369 107

74 1

DistrictCases
South Andamans33
Nicobars1
North And Middle Andaman1

4,289 15

192 5

4,039 20

58

DistrictCases
East District3
South District3
North District0
West District0

3,875 12

263 1

3,545 11

67

DistrictCases
Dadra And Nagar Haveli20

3,237 6

51 3

3,184 3

2

DistrictCases
Kolasib11
Aizawl10
Mamit8
Lawngtlai2
Lunglei2
Saitual1
Champhai0
Hnahthial0
Khawzawl0
Saiha0
Serchhip0

2,656 49

417 43

2,238 5

1 1

DistrictCases
Lakshadweep District0

0

0 0

0

0

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