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Ban On Public Events Can Bring Down COVID-19 Transmission Rate By 24 Per Cent, Lancet Study

According to a study published in The Lancet journal, measures like closure of schools and workplaces, ban on public events and gatherings of more than ten people, requirements to stay at home among others have helped in reducing the COVID-19 transmission

Ban On Public Events Can Bring Down COVID-19 Transmission Rate By 24 Per Cent, Lancet Study
Highlights
  • Ban on public events can prevent super spreader events: Experts
  • Reopening schools may be behind 24 per cent increase in the R by day 28
  • School must follow measures like routine deep cleaning, face masks: Experts

London: Ban on public events can bring down the COVID-19 reproduction number (R) number — a key measure of virus transmission — by 24 per cent in less than a month, according to a modelling study published in The Lancet journal. An R value above 1 indicates a growing outbreak, whereas an R value below 1 indicates a shrinking outbreak. The research using data from 131 countries suggests that individual measures, including closure of schools and workplaces, ban on public events and gatherings of more than ten people, requirements to stay at home, and internal movement limits, are associated with a reduction in transmission of SARS-CoV-2.

Also Read: Air Pollution May Hinder India’s Fight Against COVID-19, Say Scientists

However, combined measures are more effective at reducing transmission, the researchers said.

We found that combining different measures showed the greatest effect on reducing the transmission of COVID-19. As we experience a resurgence of the virus, policymakers will need to consider combinations of measures to reduce the R number. Our study can inform decisions on which measures to introduce or lift, and when to expect to see their effects, but this will also depend on the local context — the R number at any given time, the local healthcare capacity, and the social and economic impact of measures, said Professor Harish Nair from the University of Edinburgh, UK.

When looking at the measures individually, a ban on public events was associated with the greatest reduction in R — 24 per cent reduction after 28 days — which the researchers suggest may be because they are likely to prevent super spreader events and it was often the first measure to be introduced in countries.

Also Read: Oxford COVID-19 Vaccine Produces Immune Response Among Elderly And Young, Says AstraZeneca

The measures most strongly associated with an increase in R were lifting bans on gatherings of more than ten people and re-opening of schools, according to the researchers. Although reopening schools was associated with a 24 per cent increase in the R by day 28, the researchers caution that they were unable to account for different precautions some countries implemented for reopening schools, for example limiting class sizes, distancing measure, routine deep cleaning, personal handwashing, face masks, and thermal temperature checks on arrival.

They said these are essential for safer school reopening and should be taken into account when interpreting this finding.

We found an increase in R after reopening schools but is not clear whether the increase is attributable to specific age groups, where there may be substantial differences in adherence to social distancing measures within and outside classrooms. Furthermore, more data are needed to understand the specific role of schools in increased SARS-CoV-2 transmission through robust contact tracing, Mr. Nair added.

The study, however, does not account for other potentially influential factors that have an impact on R — including, among other things, compliance with the interventions, changes in population behaviour, sub-national differences in R, or the effects of contact tracing and isolation – all of which vary by context.

Using the R number as a proxy for transmission also has limitations, as it is difficult to estimate accurately, particularly when prevalence is low, the researchers said. In this modelling study, data on daily country-level estimates of R were linked with data on what measures those countries had in place from January 1, 2020 to July 20, 2020. The timeline of each country was divided into individual phases when all measures remained the same in that country. The analysis included 790 phases from 131 countries and the authors used a model to measure the association between which measures were in place and changes in the R.

Also Read: COVID-19: India’s Case Fatality Rate Lowest Since March 22 At 1.5 Per Cent

(Except for the headline, this story has not been edited by NDTV staff and is published from a syndicated feed.)

NDTV – Dettol Banega Swasth India campaign is an extension of the five-year-old Banega Swachh India initiative helmed by Campaign Ambassador Amitabh Bachchan. It aims to spread awareness about critical health issues facing the country. In wake of the current COVID-19 pandemic, the need for WASH (WaterSanitation and Hygiene) is reaffirmed as handwashing is one of the ways to prevent Coronavirus infection and other diseases. The campaign highlights the importance of nutrition and healthcare for women and children to prevent maternal and child mortality, fight malnutrition, stunting, wasting, anaemia and disease prevention through vaccines. Importance of programmes like Public Distribution System (PDS), Mid-day Meal Scheme, POSHAN Abhiyan and the role of Aganwadis and ASHA workers are also covered. Only a Swachh or clean India where toilets are used and open defecation free (ODF) status achieved as part of the Swachh Bharat Abhiyan launched by Prime Minister Narendra Modi in 2014, can eradicate diseases like diahorrea and become a Swasth or healthy India. The campaign will continue to cover issues like air pollutionwaste managementplastic banmanual scavenging and sanitation workers and menstrual hygiene

World

26,27,61,966Cases
22,35,18,265Active
3,40,28,506Recovered
52,15,195Deaths
Coronavirus has spread to 196 countries. The total confirmed cases worldwide are 26,27,61,966 and 52,15,195 have died; 22,35,18,265 are active cases and 3,40,28,506 have recovered as on December 1, 2021 at 3:56 am.

India

3,45,96,776 8,954Cases
99,0231,520Active
3,40,28,506 10,207Recovered
4,69,247 267Deaths
In India, there are 3,45,96,776 confirmed cases including 4,69,247 deaths. The number of active cases is 99,023 and 3,40,28,506 have recovered as on December 1, 2021 at 2:30 am.

State Details

State Cases Active Recovered Deaths
Maharashtra

66,35,658 678

11,226 299

64,83,435 942

1,40,997 35

Kerala

51,41,814 4,723

44,314 824

50,57,368 5,370

40,132 177

Karnataka

29,96,148 291

6,445 462

29,51,492 745

38,211 8

Tamil Nadu

27,26,917 720

8,244 47

26,82,192 758

36,481 9

Andhra Pradesh

20,72,909 184

2,149 47

20,56,318 134

14,442 3

Uttar Pradesh

17,10,399 12

89 3

16,87,399 8

22,911 1

West Bengal

16,16,083 705

7,731 2

15,88,866 694

19,486 13

Delhi

14,40,934 34

287 2

14,15,549 32

25,098

Odisha

10,49,108 228

2,188 23

10,38,509 203

8,411 2

Chhattisgarh

10,06,813 34

318 0

9,92,902 34

13,593

Rajasthan

9,54,785 15

193 6

9,45,637 9

8,955

Gujarat

8,27,475 40

275 13

8,17,108 27

10,092

Madhya Pradesh

7,93,170 20

119 7

7,82,523 27

10,528

Haryana

7,71,709 17

163 2

7,61,492 19

10,054

Bihar

7,26,223 4

36 3

7,16,524 7

9,663

Telangana

6,75,994 196

3,591 10

6,68,411 184

3,992 2

Assam

6,16,852 144

2,625 30

6,08,124 109

6,103 5

Punjab

6,03,279 21

325 4

5,86,352 22

16,602 3

Jharkhand

3,49,244 12

98 3

3,44,006 9

5,140

Uttarakhand

3,44,255 28

141 9

3,36,706 19

7,408

Jammu And Kashmir

3,36,852 171

1,625 1

3,30,751 172

4,476

Himachal Pradesh

2,27,195 102

834 10

2,22,513 91

3,848 1

Goa

1,78,928 38

284 8

1,75,260 30

3,384

Mizoram

1,35,175 365

3,751 54

1,30,927 415

497 4

Puducherry

1,28,924 31

284 12

1,26,768 43

1,872

Manipur

1,25,205 36

649 6

1,22,579 40

1,977 2

Tripura

84,805 14

81 3

83,900 10

824 1

Meghalaya

84,480 19

294 9

82,713 9

1,473 1

Chandigarh

65,465 9

65 7

64,580 2

820

Arunachal Pradesh

55,276 3

35 0

54,961 3

280

Sikkim

32,242 9

124 3

31,715 6

403

Nagaland

32,122 13

133 7

31,293 20

696

Ladakh

21,578 38

276 26

21,088 12

214

Dadra And Nagar Haveli

10,683

1 0

10,678

4

Lakshadweep

10,394

24 0

10,319

51

Andaman And Nicobar Islands

7,683

6 2

7,548 2

129

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