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Healthcare Workers 7 Times As Likely To Have Severe COVID-19 As Other Workers: Study

The research published online in the journal Occupational & Environmental Medicine compared the risk of developing severe COVID-19 infection in essential and non-essential workers

Healthcare Workers 7 Times As Likely To Have Severe COVID-19 As Other Workers: Study
Highlights
  • The study included over 1.2 lakh (1,20,075) employees aged 49-64-year-old
  • 29 per cent of the participants were classified as essential workers
  • The study can't establish the cause behind high risk of COVD-19 infection

London: Healthcare workers are 7 times as likely to have severe COVID-19 infection as those with other types of ‘non-essential’ jobs, finds research focusing on the first UK-wide lockdown. The research was published online in the journal Occupational & Environmental Medicine. And those with jobs in the social care and transport sectors are twice as likely to do so, emphasising the need to ensure that essential (key) workers are adequately protected against the infection, say the researchers.

Also Read: Fight Against Coronavirus: Wastewater testing for COVID-19

Few studies have looked at the differences in the risk of developing severe COVID-19 infection between different groups of workers. While it’s known that those working in healthcare roles are at heightened risk, it’s not clear what the risks might be for those working in other sectors.

The researchers, therefore, compared the risk of developing severe COVID-19 infection in essential and non-essential workers, drawing on linked data from the UK Biobank study (2006-10), COVID-19 test results from Public Health England, and recorded deaths for the period 16 March to 26 July 2020.

The UK Biobank is a long term study tracking the factors potentially influencing the development of disease in around half a million middle and older age adults.

Severe infection was defined as a positive test result for SARS-CoV-2, the virus responsible for COVID-19, while in hospital, or death attributable to the virus.

Also Read: Centre Develops ‘Co-WIN’ App To Self-Register For COVID-19 Vaccine

The study included 120,075 employees aged 49-64. Of these, 35,127 (29 per cent) were classified as essential workers: healthcare (9 per cent); social care and education (11 per cent); ‘other’ to include police and those working in transport and food preparation (9 per cent).

Those of Black and Asian ethnicities comprised nearly 3 per cent each of the total. They were more likely to be essential workers, as were women.

In all, 271 employees had severe COVID-19 infection. Healthcare professionals, defined as doctors and pharmacists; medical support staff; health associate professionals, defined as nurses and paramedics; and social care and transport workers had higher rates of severe COVID-19 than non-essential workers.

Compared with non-essential workers, those working in healthcare roles were more than 7 times as likely to have a severe infection.
And those working in social care and in education were 84 per cent as likely to do so; while ‘other’ essential workers had a 60 per cent higher risk of developing severe COVID-19.

Also Read: Researchers Found New Method To Detect COVID-19 In Less Than Five Minutes

When the researchers refined the employment categories further, it emerged that medical support staff were nearly 9 times as likely to develop the severe disease; those in social care almost 2.5 times as likely to do so; while transport workers were twice as likely to do so.

And when the researchers looked at the impact of ethnicity, they found that the risks of severe infection for Black and Asian non-essential workers were similar to those for white essential workers, suggesting that ethnicity is a key factor.

Non-essential workers of Black and Asian backgrounds were also more than 3 times as likely to develop severe COVID-19 infection as white non-essential workers, while Black and Asian essential workers were more than 8 times as likely to do so.

With the exception of transport workers, for whom the heightened risk of severe COVID-19 infection was linked to socioeconomic status, the findings held true even after accounting for potentially influential risk factors, including lifestyle, co-existing health problems, and work patterns.

Also Read: Comorbidities Proved Fatal In Most COVID-19 Deaths In West Bengal: Study

This is an observational study and therefore can’t establish the cause. And the authors acknowledge that their initial background data were collected more than a decade ago, so they were unable to account for any changes in health, lifestyle, income and employment status. The UK Biobank is also not representative of the broader population.

Nor were the researchers able to take account of the changes in risk over time, such as the availability of personal protective equipment (PPE). Nevertheless, the findings echo those of other studies, they point out.

And they conclude,

Our findings reinforce the need for adequate health and safety arrangements and provision of PPE for essential workers, especially in the health and social care sectors. The health and wellbeing of essential workers are critical to limiting the spread and managing the burden of global pandemics.

Also Read: Latest Discovery Provides Hope For Early Detection Of Serious COVID-19

(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

26,43,68,460Cases
22,50,84,762Active
3,40,45,666Recovered
52,38,032Deaths
Coronavirus has spread to 196 countries. The total confirmed cases worldwide are 26,43,68,460 and 52,38,032 have died; 22,50,84,762 are active cases and 3,40,45,666 have recovered as on December 3, 2021 at 1:36 pm.

India

3,46,15,757 9,216Cases
99,976 213Active
3,40,45,666 8,612Recovered
4,70,115 391Deaths
In India, there are 3,46,15,757 confirmed cases including 4,70,115 deaths. The number of active cases is 99,976 and 3,40,45,666 have recovered as on December 3, 2021 at 2:30 am.

State Details

State Cases Active Recovered Deaths
Maharashtra

66,37,221 796

10,882 180

64,85,290 952

1,41,049 24

Kerala

51,51,919 4,700

45,030 252

50,66,034 4,128

40,855 320

Karnataka

29,96,833 363

6,772 169

29,51,845 191

38,216 3

Tamil Nadu

27,28,350 715

8,155 45

26,83,691 748

36,504 12

Andhra Pradesh

20,73,252 159

2,138 11

20,56,670 169

14,444 1

Uttar Pradesh

17,10,417 12

93 1

16,87,413 11

22,911

West Bengal

16,17,408 657

7,690 22

15,90,208 667

19,510 12

Delhi

14,41,190 217

307 21

14,15,785 196

25,098

Odisha

10,49,597 252

2,211 26

10,38,971 276

8,415 2

Chhattisgarh

10,06,870 37

328 12

9,92,949 25

13,593

Rajasthan

9,54,827 21

213 10

9,45,659 11

8,955

Gujarat

8,27,570 50

318 25

8,17,158 24

10,094 1

Madhya Pradesh

7,93,199 12

128 4

7,82,543 8

10,528

Haryana

7,71,760 27

178 9

7,61,528 18

10,054

Bihar

7,26,230 5

32 0

7,16,534 4

9,664 1

Telangana

6,76,376 189

3,680 50

6,68,701 137

3,995 2

Assam

6,17,163 124

2,535 77

6,08,517 198

6,111 3

Punjab

6,03,352 32

344 13

5,86,402 18

16,606 1

Jharkhand

3,49,271 15

95 1

3,44,035 13

5,141 1

Uttarakhand

3,44,325 22

182 4

3,36,735 18

7,408

Jammu And Kashmir

3,37,263 177

1,697 10

3,31,089 167

4,477

Himachal Pradesh

2,27,354 85

835 29

2,22,669 113

3,850 1

Goa

1,79,046 56

367 40

1,75,295 16

3,384

Mizoram

1,35,765 315

3,717 55

1,31,545 368

503 2

Puducherry

1,28,998 33

299 10

1,26,826 23

1,873

Manipur

1,25,269 33

663 4

1,22,627 28

1,979 1

Tripura

84,835 15

94 6

83,916 8

825 1

Meghalaya

84,534 24

296 2

82,764 25

1,474 1

Chandigarh

65,475 4

65 1

64,590 5

820

Arunachal Pradesh

55,285 6

36 1

54,969 5

280

Sikkim

32,267 15

137 10

31,727 5

403

Nagaland

32,128 3

128 5

31,302 6

698 2

Ladakh

21,642 41

306 21

21,122 20

214

Dadra And Nagar Haveli

10,683

0 1

10,679 1

4

Lakshadweep

10,397 1

18 8

10,328 9

51

Andaman And Nicobar Islands

7,686 3

7 2

7,550 1

129

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