Social Distancing Most Effective Tool To Combat COVID-19: StudyA range of new outbreak settings will likely be reported as more activities reopen: Study
Highlights
  • Coronavirus is a global pandemic with over 25 million cases worldwide
  • Handwashing, masks, social distancing are used to prevent transmission
  • The study proposes organisers, businesses to enable social distance

New York: Physical distancing is an effective intervention in all settings, versus other forms of transmission rate depending on the transmission probability, according to researchers who reported a model for estimating the number of new COVID-19 infections.

A research study published by Proceedings of the National Academy of Sciences (PNAS) indicates that social distancing could be a potent tool for intervention in all settings, but the relative effectiveness of “social bubbling”, defined as restricting contacts to a small group of people, versus other forms of transmission rate is subject to the higher or lower intensity of the transmission probability.

Coronavirus is a global pandemic with over 25 million cases worldwide. Currently, treatments are limited, and there is no approved vaccine. Interventions such as handwashing, masks, social distancing, and “social bubbles” are used to limit community transmission, but it is challenging to choose the best interventions for a given activity.

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The researchers involved in the study provided a ‘simple’ model of coronavirus transmission at workplaces, events, and other settings. They used data from reported single-event, short-duration outbreaks to estimate the transmission rate, number of contacts, and turnover at events, which was later used to predict how many new infections were expected to occur at various events given the presence of a single infectious individual. The researchers then determined which type of intervention will be the most effective in reducing the number of COVID-19 infections — reducing transmission rates (such as with masks), social distancing (reducing the number of people in contact), or bubbling (keeping contact groups small and consistent).

The team involved in the study introduced the concept of “event R”, the expected number of new infections due to the presence of a single infectious individual at an event. They obtained a fundamental relationship between event R and four parameters — transmission intensity, duration of exposure, the proximity of individuals, and the degree of mixing.

Reports of small outbreaks were used to establish event R and transmission intensity in a range of settings. The study identifies the principles that guide whether physical distancing, masks, and other barriers to transmission, or social bubbles would be most effective.

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In all events, interventions that increased distancing were effective, however, in events that were already static, the relative importance of reducing transmission was much greater in the linear setting. For events where there was mixing, bubbling was an extremely powerful intervention in the saturating case but proved to less significant in the linear case.

A range of new outbreak settings will likely be reported as more activities reopen. The largest outbreaks reported to date have naturally included cases arising over many days and have taken place in long-term care facilities, meat- and poultry-packing facilities, correctional facilities, and other high-transmission environments. In a closed setting with a fixed population, if the event’s duration is defined to be the duration of infectiousness, event R is the classic “basic reproduction number,” R0R0 (the expected number of new infections an individual is expected to create in a fully susceptible population).

To conclude, the research study proposes that organisers, workplaces, businesses, and so on could seek to determine if their setting is likely to be linear or saturating and whether people mix strongly or remain in small groups (or bubbles).

(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

19,66,15,634Cases
6,33,31,644Active
12,90,85,240Recovered
41,98,750Deaths
Coronavirus has spread to 194 countries. The total confirmed cases worldwide are 19,66,15,634 and 41,98,750 have died; 6,33,31,644 are active cases and 12,90,85,240 have recovered as on July 30, 2021 at 4:07 am.

India

3,15,72,344 44,230Cases
4,05,155 1,315Active
3,07,43,972 42,360Recovered
4,23,217 555Deaths
In India, there are 3,15,72,344 confirmed cases including 4,23,217 deaths. The number of active cases is 4,05,155 and 3,07,43,972 have recovered as on July 30, 2021 at 2:30 am.

State Details

State Cases Active Recovered Deaths
Maharashtra

62,90,156 7,242

81,933 3,980

60,75,888 11,032

1,32,335 190

Kerala

33,49,365 22,064

1,55,327 5,287

31,77,453 16,649

16,585 128

Karnataka

29,01,247 2,052

23,277 685

28,41,479 1,332

36,491 35

Tamil Nadu

25,55,664 1,859

21,207 314

25,00,434 2,145

34,023 28

Andhra Pradesh

19,62,049 2,107

21,279 280

19,27,438 1,807

13,332 20

Uttar Pradesh

17,08,373 60

784 16

16,84,834 44

22,755

West Bengal

15,26,539 766

11,300 70

14,97,116 822

18,123 14

Delhi

14,36,144 51

554 19

14,10,541 70

25,049

Chhattisgarh

10,01,781 130

2,086 140

9,86,175 270

13,520

Odisha

9,74,132 1,615

15,276 489

9,53,088 2,039

5,768 65

Rajasthan

9,53,622 17

259 9

9,44,410 26

8,953

Gujarat

8,24,829 27

268 6

8,14,485 33

10,076

Madhya Pradesh

7,91,796 18

130 0

7,81,153 18

10,513

Haryana

7,69,858 30

712 10

7,59,516 17

9,630 3

Bihar

7,24,719 46

481 1

7,14,596 42

9,642 3

Telangana

6,43,716 623

9,188 126

6,30,732 746

3,796 3

Punjab

5,99,005 58

553 6

5,82,162 60

16,290 4

Assam

5,64,030 1,299

14,114 385

5,44,695 1,664

5,221 20

Jharkhand

3,47,105 56

259 22

3,41,720 34

5,126

Uttarakhand

3,41,982 48

669 3

3,33,952 51

7,361

Jammu And Kashmir

3,21,207 181

1,144 5

3,15,686 175

4,377 1

Himachal Pradesh

2,05,728 229

1,098 145

2,01,110 84

3,520

Goa

1,70,900 90

1,077 5

1,66,679 93

3,144 2

Puducherry

1,20,725 98

972 49

1,17,961 49

1,792

Manipur

96,824 1,000

10,895 27

84,408 1,016

1,521 11

Tripura

78,059 271

3,640 221

73,665 488

754 4

Meghalaya

63,745 731

5,750 294

56,933 423

1,062 14

Chandigarh

61,948 5

37 1

61,102 4

809

Arunachal Pradesh

47,477 335

4,252 49

43,000 383

225 1

Mizoram

37,171 764

11,862 252

25,168 511

141 1

Nagaland

27,653 67

1,299 51

25,798 114

556 4

Sikkim

26,132 276

3,297 180

22,498 92

337 4

Ladakh

20,324 4

60 4

20,057 8

207

Dadra And Nagar Haveli

10,643 1

36 5

10,603 6

4

Lakshadweep

10,162 7

70 6

10,042 13

50

Andaman And Nicobar Islands

7,534 3

10 3

7,395

129

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