Widespread Face Mask Use Could Prevent Second COVID-19 Wave: Study

Widespread Face Mask Use Could Prevent Second COVID-19 Wave: Study

The study, published in the journal Proceedings of the Royal Society A, suggests that even homemade masks with limited effectiveness can dramatically reduce transmission rates if worn by enough people, regardless of whether they show symptoms
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Widespread Face Mask Use Could Prevent Second COVID-19 Wave: StudyThe study suggests a policy of total face mask adoption which can help prevent a second wave of COVID-19
Highlights
  • Face mask use by 50% or more of the population reduced COVID-19: Study
  • Total face mask adoption can still prevent a second wave of COVID-19: Study
  • Lockdowns alone will not stop the resurgence of SARS-CoV-2: Study

London: Population-wide use of face masks combined with lockdowns could prevent further waves of the novel coronavirus that causes COVID-19, according to a modelling study. The findings, published in the journal Proceedings of the Royal Society A, suggest that lockdowns alone will not stop the resurgence of SARS-CoV-2. The study also shows that even homemade masks with limited effectiveness can dramatically reduce transmission rates if worn by enough people, regardless of whether they show symptoms.

Our analyses support the immediate and universal adoption of face masks by the public, said lead author Richard Stuttfrom from the University of Cambridge in the UK.

If widespread face mask use by the public is combined with physical distancing and some lockdown, it may offer an acceptable way of managing the pandemic and re-opening economic activity long before there is a working vaccine, Mr Stuttfrom said.

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The researchers worked to link the dynamics of virus spread between individuals with population-level models, to assess different scenarios of face-mask adoption combined with periods of lockdown.

The reproduction or ‘R’ number – the number of people an infected individual passes the virus onto – needs to stay below 1.0 for the pandemic to slow, they said. The study found that if people wear masks whenever they are in public it is twice as effective at reducing ‘R’ than if masks are only worn after symptoms appear.

In all modelling scenarios, routine face mask use by 50 per cent or more of the population reduced COVID-19 spread to an R less than 1.0, flattening future disease waves and allowing less-stringent lockdowns, the researchers said.

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Viral spread reduced further as more people adopted masks when in public, they said. Hundred per cent mask adoption combined with on/off lockdowns prevented any further disease resurgence for the 18 months required for a possible vaccine, according to the study.

The models suggest that a policy of total face mask adoption can still prevent a second wave even if it isn’t instigated until 120 days after an epidemic begins, the researchers said.

World

17,11,79,099Cases
5,89,42,261Active
10,86,71,879Recovered
35,64,959Deaths
Coronavirus has spread to 193 countries. The total confirmed cases worldwide are 17,11,79,099 and 35,64,959 have died; 5,89,42,261 are active cases and 10,86,71,879 have recovered as on June 2, 2021 at 4:02 am.

India

2,83,07,832 1,32,788Cases
17,93,6451,01,875Active
2,61,79,085 2,31,456Recovered
3,35,102 3,207Deaths
In India, there are 2,83,07,832 confirmed cases including 3,35,102 deaths. The number of active cases is 17,93,645 and 2,61,79,085 have recovered as on June 2, 2021 at 2:30 am.

State Details

State Cases Active Recovered Deaths
Maharashtra

57,61,015 14,123

2,33,498 22,680

54,31,319 35,949

96,198 854

Karnataka

26,18,735 14,304

2,98,320 15,431

22,90,861 29,271

29,554 464

Kerala

25,46,339 19,760

2,02,828 4,551

23,34,502 24,117

9,009 194

Tamil Nadu

21,23,029 26,513

2,96,131 5,650

18,02,176 31,673

24,722 490

Andhra Pradesh

17,04,388 11,303

1,46,737 7,058

15,46,617 18,257

11,034 104

Uttar Pradesh

16,92,709 1,221

32,465 4,579

16,39,572 5,625

20,672 175

Delhi

14,26,863 623

10,178 862

13,92,386 1,423

24,299 62

West Bengal

13,85,801 9,424

78,613 8,435

12,91,510 17,722

15,678 137

Chhattisgarh

9,73,349 1,886

33,127 2,614

9,27,145 4,471

13,077 29

Rajasthan

9,40,960 1,002

37,477 5,177

8,95,033 6,114

8,450 65

Gujarat

8,10,730 1,561

29,015 3,330

7,71,860 4,869

9,855 22

Madhya Pradesh

7,81,108 1,078

20,303 3,087

7,52,693 4,120

8,112 45

Odisha

7,73,732 8,735

78,914 2,397

6,92,027 11,095

2,791 37

Haryana

7,57,868 1,233

16,280 2,300

7,33,205 3,453

8,383 80

Bihar

7,07,935 1,174

14,251 1,985

6,88,462 3,100

5,222 59

Telangana

5,80,844 2,493

33,254 830

5,44,294 3,308

3,296 15

Punjab

5,69,756 2,149

33,444 2,989

5,21,663 5,039

14,649 99

Assam

4,15,898 4,682

52,680 361

3,59,802 4,992

3,416 51

Jharkhand

3,38,383 609

8,058 849

3,25,325 1,449

5,000 9

Uttarakhand

3,30,475 981

27,216 1,155

2,96,762 2,091

6,497 45

Jammu And Kashmir

2,92,360 1,895

33,276 1,819

2,55,145 3,682

3,939 32

Himachal Pradesh

1,91,251 921

12,407 1,214

1,75,663 2,097

3,181 38

Goa

1,56,569 903

11,867 896

1,42,031 1,777

2,671 22

Puducherry

1,05,432 979

10,709 438

93,173 1,403

1,550 14

Chandigarh

60,154 108

1,481 286

57,915 389

758 5

Tripura

52,545 571

6,248 299

45,772 864

525 6

Manipur

51,549 798

8,942 151

41,782 629

825 18

Meghalaya

36,065 467

6,606 307

28,867 760

592 14

Arunachal Pradesh

27,642 370

3,772 17

23,754 352

116 1

Nagaland

21,854 174

4,725 209

16,744 374

385 9

Ladakh

18,750 88

1,581 33

16,979 120

190 1

Sikkim

15,626 309

3,992 29

11,377 334

257 4

Mizoram

12,634 235

3,243 98

9,347 133

44 4

Dadra And Nagar Haveli

10,300 14

285 40

10,011 54

4

Lakshadweep

8,166 89

1,567 235

6,566 324

33

Andaman And Nicobar Islands

7,018 13

155 16

6,745 26

118 3

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