ArticlePDF Available

COVID-19 Pandemic: What has work got to do with it?

Authors:

Abstract

None
COVID-19 Pandemic: What has work got to do with it?
Pouran Faghri, M.D.1,4 – Marnie Dobson, Ph.D.2,4 – Paul Landsbergis, Ph.D.3,4 – Peter Schnall,
M.D.2,4
1University of California, Los Angeles, Los Angeles, CA, USA)
2University of California, Irvine, Irvine, CA, USA
3State University of New York – Downstate, New York, NY, USA
4Center for Social Epidemiology, Los Angeles, CA, USA
Corresponding Author:
Pouran Faghri, MD, MS FACSM
UCLA Fielding School of Public Health
650 Charles E. Young Drive South, 56-070 CHS
Los Angeles, CA 90095
Telephone: 310-206-5296
Pouran.Faghri@ucla.edu
Funding Sources: Center for Social Epidemiology (501c3)
Conflict of Interest: NONE
Address for Reprints (if different from Corresponding Author)
Acknowledgments, including all sources of support
Ethical Considerations & Disclosure(s) (e.g., IRB information, consent process, if applicable):
NA
Running Head Title (50 characters)
Work stress; essential workers; COVID-19
1
!"#$%&'()*+,-..+!"#$%&'()*+/01*+2"30%4+(#&.$5(#34+6070'0#&0%+"#5
8(3$'0+9030#5%+
:+;<+-=/><6+?;8<@
Introduction
Since the start of the COVID-19 global pandemic more than 200 countries and territories have
experienced devastating public health, social and economic effects. Among those falling ill in
large numbers in the U.S. are workers in occupations or industries deemed “essential,” critical to
maintaining services to society during the pandemic. While definitions vary, “essential workers”
typically include workers in health care, food and agriculture, manufacturing, emergency
response, and transportation (1). Essential workers whose work cannot be done from home, or
those who work in close proximity to others (increasing the risk of exposure) also tend to have
lower incomes (2, 3). Some groups of essential workers are at increased risk of COVID-19 (4).
As well, African American and Latinx communities have been particularly hard hit by the
coronavirus, with a disproportionate number of infections and deaths (5-8). Black, Native
American & Hispanic/Latinx workers are more likely to be essential workers who work in
person and close to others and have lower incomes compared to white workers (2). Immigrant
workers are also more likely to be essential workers than native-born workers (9). One study
reported racial/ethnic disparities in job characteristics such as inability to work from home and
work in public safety, public utility, food or health care (10). African American and Latinx
workers are disproportionately represented in manufacturing, grocery(11), meatpacking (12) and
transit(13), which have also seen widespread workplace outbreaks of COVID-19.
In this paper, we examine two issues that impact on the magnitude and severity of the Covid-19
epidemic among workers - those work-related factors that increase the likelihood of exposure to
SARS-CoV-2 and to infection (differential exposure) among workers, including being an
essential worker, and work-related risk factors impacting the severity (differential vulnerability)
of COVID-19 illness. Stressful working (14) and low-income living conditions (15) increase the
risk of comorbid conditions, such as cardiovascular disease (CVD), hypertension and diabetes, as
well as impaired immune function, all of which increase the likelihood of severe illness if
exposed to SARS-CoV-2 (16-18).
Figure 1 provides a model of the overlapping and intersectional relationships between COVID19
and work that also helps to explain the disparities in exposure, infection and severe outcomes by
race-ethnicity and socioeconomic status (SES).
Insert Figure 1 here
Factors impacting the likelihood of SARS-CoV-2 exposure and infection among workers
Essential work is characterized by several features that increase the likelihood of infection.
Essential workers are less likely to work at home (e.g., in manufacturing, health care, as
warehouse workers, first responders) and that brings them in close contact with the public (e.g.,
grocery store workers, food service workers), as well as in close proximity with their coworkers
in indoor environments that may not be properly ventilated (e.g., meatpackers) nor where social
distancing is possible. This increases the likelihood that these workers are exposed to
2
SARSCoV-2 (19). Other essential workers, such as health care workers and bus drivers, also
come into close contact with the public; drivers may not be protected (especially if they only
have cloth masks) as they work in close quarters with the public in crowded buses (13), while
health care workers, often with inadequate personal protective equipment (PPE), are face-to-face
with patients ill with COVID-19 and thus resulting in higher infection rates among these workers
(13, 20).
Additional factors impacting the likelihood of infection are race and ethnicity. African
Americans and Latinx people are among those at higher risk for contracting COVID-19 and have
higher rates of hospitalization and fatality (5-7, 10). This is due, in part, to greater socioeconomic
disadvantages and discrimination which increases the rate of comorbid conditions, reduce their
access to and the quality of health care (15, 17). In addition, African Americans and Latinx
people are more likely to be employed in essential in-person
1
close-contact jobs (2). For
example, they are twice as likely as other workers to work in the animal slaughtering and
processing industries (locations of major COVID-19 outbreaks)(19). Racial/ethnic and SES
COVID-19 disparities, also result from workers of color and poorer workers being more likely to
live in densely populated areas where crowding increases the risk of exposure (5), to live in
households with workers who must work close to others, and households with at least two
generations of adults (2).
Factors impacting the severity of infection among workers
As occurs with other coronaviruses (severe acute respiratory syndrome coronavirus (SARS-
CoV) and Middle East respiratory syndrome coronavirus (MERS- CoV), COVID-19 can lead to
acute respiratory distress syndrome as a consequence of viral pneumonia. In addition,
uncontrolled COVID-19 has been shown to provoke an atypical immune response by triggering a
cytokine storm where pro-inflammatory cytokines and chemokines such as tumor necrosing
factor-a, IL-1 B and IL-6 are overproduced by the immune system causing multi-organ damage
(21, 22). It also causes coagulation abnormalities, including clotting and other thromboembolic
events, such as pulmonary embolism. Recent studies have shown that susceptibility to and the
outcome from COVID-19 are strongly associated with preexisting CVD and the relationship
between COVID-19 and CVD is bidirectional (23). COVID-19 has been shown to promote
cardiovascular damage, such as myocardial injury, arrhythmias, coronary heart disease and
venous thrombosis. It is therefore postulated that COVID-19 may also directly influence and
infect different heart muscle cells, such as cardiomyocytes, endothelial cells and pericytes
independent of respiratory issues, leading to major cardiovascular failure (24-26). The
preexistence of co-morbid conditions appear to enhance the ability of the virus to take root and
further damage the cardiovascular system.
We suggest that chronic exposure to stressors, including psychosocial workplace stressors,
interact with COVID-19 related sequalae. Stress also increase the body’s neural and endocrine
responses, a process named “allostasis.”(27) Another effect of chronic stress exposure is immune
function suppression which increases susceptibility to infection over time. Elevation of cortisol
is a natural hormonal response to acute stress, which increases the immune response and is
initially anti-inflammatory. However, chronic activation may lead to resistance and accumulation
of stress hormones and increase cytokine production which compromises the immune
response.(28)
1
In-person work at the usual workplace as opposed to at home or remotely
3
Over the past 40 years, research has identified a number of workplace psychosocial risk factors
that provoke the stress response and contribute to risk of illnesses, such as burnout, depression,
anxiety(29), elevated blood pressure (hypertension) and CVD (14). Workplace stressors, such as
high job psychological demands combined with low worker control over those demands (known
as “job strain”) elevate “allostatic load”(30). Low levels of coworker and supervisor support also
increase the risk of illness created by high job demands (31). Another work stressor (ERI or
effort-reward imbalance) is an imbalance between employee efforts and low rewards for those
efforts.(32) Overall, in addition to job strain and ERI, there are a substantial number (> 12) of
documented workplace stressors, including stressful organizational climate, harassment,
inflexible scheduling, job insecurity, long working hours, and work-life conflict contributing to
disease (33-35). The severity of COVID-19 is heightened in those with these comorbid health
conditions (24, 36, 37). Bus drivers, for example, are among the groups of essential workers in
which substantial elevations of blood pressure are associated with their work.
Chronic stress, including that caused by work stressors, will cause an increase in
proinflammatory cytokines and dysregulation of the immune system, which can lead to
activation of latent viruses. In adults, positive associations have been reported between chronic
work stressors and inflammatory markers such as C-reactive protein (CRP). High levels of CRP,
an indicator of elevated CVD risk, is associated with increased risk of SARS-CoV-2 infection
(21, 22, 38, 39). For example, caregivers experience longer healing time from wounds due to
lower lymphocyte accumulation, higher cytokines production, and lower antibody production
after vaccinations (25, 40).
Work stressors can affect individuals cumulatively throughout their working lives and the risk of
developing comorbid conditions increases substantially with age, in part due to chronic exposure
to workplace stressors (41). Also, as people age, the immune system weakens and the body’s
ability to regulate the cortisol response to both physical and psychological stressors decreases.
Some research suggests that older adults have difficulty terminating cortisol production in
response to stress (42, 43). At the cellular level, in some research chronic exposure to stressors
has also been linked to shortened telomere length in adults. The length of telomeres is directly
related to SES and poverty (44, 45), i.e., the lower the SES the shorter the telomeres.
Furthermore, low SES may lead to accelerated aging during stress exposure and lower immune
response significantly increasing the likelihood of manifest infection with SARS-CoV-2 and
severity of symptoms (46). In addition, the unhealthy behaviors promoted by work stressors
(lack of physical activity, unhealthy eating, alcohol and drug use, and lack of adequate sleep)
further contribute to development of chronic diseases, accelerated aging and lowered immunity
level (47).
The risk of a CVD event is increased up to 40% in those who are exposed to the abovementioned
work stressors compared to those who are not (33, 48). Work stressors also contribute to
increased risk of a second CVD event (49, 50) if returning to work and facing the same job
stressors as well as an increased likelihood of not returning to work at all. As a matter of fact, the
risk of a recurrent CVD cardiovascular event is increased by 65% in employees with “job strain”
or and other psychosocial work stressor risk factors (26, 51, 52). Workers who have suffered a
cardiovascular event or have comorbid conditions also are also more likely to take time off from
work due to their illnesses. How these factors impact on the ability of essential workers to
continue at work during the current pandemic requires further investigation.
4
Racial and ethnic disparities in work exposures contribute to both the likelihood and severity of
infection, since workers of color are more likely to be working in essential jobs in-person and
close to others (2), and have work stress-related chronic conditions. Social and physical
distancing to reduce contacts between non-household members to reduce COVID-19
transmission to susceptible individuals, may be less effective in low-income neighborhoods.
Many low-income workers of color live in multi-generational households, with older family
members who are at higher risk of severe outcomes if exposed to the virus. These essential
workers face the dilemma of continuing to work and potentially exposing older family members
in the household (2). Prevention of COVID-19 among essential workers requires an examination
not only of those factors increasing exposure to the virus but also of the working conditions that
contribute to comorbidities and immune disruption.
Work stressors during COVID-19 pandemic:
Essential in-person work pays lower than median wages (2) and may also have higher than
average prevalence of work stressors. However, during the COVID-19 pandemic, it is clear that
stressors have increased in various essential occupations (and perhaps most occupations) due to
the threat of infection requiring constant vigilance to avoid infection and the adoption of new
demanding behavioral norms, such as mask wearing, social and physical distancing, and
isolation which may cause additional effects on mental health (23). Job insecurity is a
compelling work stressor during this pandemic, especially for essential and precarious workers.
Many workers have either lost their jobs, are afraid of losing their jobs, or fear being infected
and/or transmitting the infection to their households and family members (53, 54) . Additional
factors that contribute to work stress include struggles to manage work-life/family balance while
working either from home or at the workplace, managing children’s online education, having
childcare, and trying to learn new skills related to technology and communication. Job demands
have become heightened for some during the COVID-19 pandemic (55, 56). Workers who were
previously struggling with mental health issues are now experiencing heightened stressors, which
further increases their vulnerability. An increasing proportion of young people are reporting
suicidal ideation during the epidemic and many adults are reporting burnout (16, 57). Increasing
opioid fatalities have also been reported during the pandemic(58). Moreover, unhealthy
behaviors such as increased alcohol consumption, eating poorly, and exercising less, as a way of
coping with the stress of the pandemic, contribute to the development of chronic diseases, and
can further increase the severity of infection (17).
Conclusion and recommendations:
Essential in-person workers are at greater risk of SARS-CoV-2 infection due to their living and
working conditions bringing them into closer contact with those already infected, and at greater
risk of more severe infections when exposed to SARS-CoV-2 due to their higher rate of
comorbid conditions and immune system disruption possibly related to chronic exposure to work
stressors.
The first step in protecting essential workers and all other workers is to protect them from
becoming infected in the first place, an imperative that is still not being addressed adequately
during the pandemic. Providing personal protective equipment (PPE), including masks,
improved ventilation, and practicing social and physical distancing must be done at the
workplace and while going to and from work. Fortunately, some state occupational health
5
agencies are now implementing new work environment regulations that provide for enforceable
workplace protections (59).
In addition to improved workplace safety and health, changes are needed that make it possible
for essential workers to properly protect themselves and practice social and physical distancing
in their homes and communities. Essential workers who earn lower incomes, have little paid sick
leave, and have little job security are less likely to be able to follow public health
recommendations, such as isolation or quarantining during this pandemic (5, 7). Many workers
are unable to quarantine when they get sick since it could jeopardize their jobs, income and
health care. These economic constraints contribute to the spread of the virus in workplaces and
communities. Examples of this were documented in meatpacking and farm worker virus
outbreaks, where some workers were reluctant to get tested or to stay at home if exposed because
of possible wage or job loss, and were also encouraged by management to work while exposed
or even while symptomatic (60, 61).
Essential workers would benefit from social policies that provide for paid family leave and fair
workers’ compensation benefits. Needed, most importantly, are protocols and enforceable
regulations that provide for safe workplaces and for adequate sick leave without penalty or fear
of job loss if they become ill. While the Congress passed the Family’s First Coronavirus Act and
the CARES Act that requires employers to pay for extended family leave or sick pay for their
employees, it does not apply to employers with over 500 employees. In addition, workers may
not know their rights or may be afraid to even get tested if it means they could not continue
working and providing for their families (62).
A second critical step to successfully protect all workers from COVID-19, in the absence of a
definitive medical treatment or a vaccine, is to address the work environment and its culture,
including psychosocial work stressors.
Occupational psychosocial risk factors predate the COVID-19 epidemic, but they contribute to
exposure, susceptibility to infection, and severity of illness during the pandemic. Workers of
color, who make up a larger percentage of essential in-person workers and have the highest rate
of COVID-19 infections and deaths, are made even more vulnerable due to the widespread
preexistence of comorbid conditions caused by stressful living and working conditions. This puts
them in a higher risk category (10) for serious disease after exposure. Reducing the presence of
comorbid conditions requires eliminating their social and occupational causes. Doing so will
reduce a workers' likelihood of co-morbid illnesses, such as diabetes, hypertension and CVD,
and thus reduce susceptibility to severe COVID-19 illness now and in future pandemics.
Finally, this pandemic underscores the deep inequities in this country that existed long before
SARS-CoV-2 and which have now been further highlighted. Addressing economic and social
inequities as well as unhealthy working conditions is paramount. Of course, many of these are
long-standing inequalities that will need to be remedied as we move ahead. What all workers
need right now is safe and healthy work, the ability to practice social and physical distancing,
access to affordable medical care, living wages, and to be treated with dignity and respect. As it
stands now, many workers are compelled to go to unhealthy workplaces and work even when ill,
which contributes to the continuing epidemic.
6
References:
1. McNicholas C, Poydock M. Who are essential workers? Washington, DC: Economic
Policy Institute; 2020.
2. Dubay L, Aarons J, Brown SK, Kenney GM. How Risk of Exposure to the Coronavirus
at Work Varies by Race and Ethnicity and How to Protect the Health and Well-Being of
Workers and Their Families. Urban Institute Health Policy Center; 2020.
3. Baker M. Nonrelocatable Occupations at Increased Risk During Pandemics: United
States, 2018. Am J Public Health. 2020;110:1126-1132.
4. Zhang M. Estimation of differential occupational risk of COVID 19 by comparing risk
factors with case data by occupational group. American Journal of Industrial Medicine.
2021;64:39-47.
5. Hooper M, Napoles A, Perez-Stable E. COVID-19 and Racial/Ethnic Disparities. JAMA.
2020;323:2466-2467.
6. Yancy CW. COVID-19 and African Americans. JAMA. 2020;323:1891-1892.
7. Rodriguez-Diaz CE, Guilamo-Ramos V, Mena L, et al. Risk for COVID-19 infection and
death among Latinos in the United States: examining heterogeneity in transmission
dynamics. Ann Epidemiol. 2020.
8. Gould E, Wilson V. Black workers face two of the most lethal preexisting conditions for
coronavirus—racism and economic inequality. Washington, DC: Economic Policy
Institute; 2020.
9. Kerwin D, Warren R. US Foreign-Born Workers in the Global Pandemic: Essential and
Marginalized. J Migration Human Security. 2020 (in press).
10. Selden TM, Berdahl TA. COVID-19 And Racial/Ethnic Disparities In Health Risk,
Employment, And Household Composition. Health Aff (Millwood). 2020;39:1624-1632.
11. Lan F-Y, Suharlim C, Kales SN, Yang J. Association between SARS-CoV-2 infection,
exposure risk and mental health among a cohort of essential retail workers in the USA.
Occupational and Environmental Medicine. 2020.
12. Krisberg K. Essential workers facing higher risks during COVID-19outbreak: Meat
packers, retail workers sickened. The Nation's Health. 2020;50:1-16.
13. Goldblatt P, Morrison J. Initial assessment of London bus driver mortality from COVID-
19. London, UK: UCL Institute of Health Equity, University College London; 2020.
14. Schnall PL, Dobson M, Landsbergis P. Globalization, Work, and Cardiovascular Disease.
International Journal of Health Services. 2016;46:656-692.
15. Wiemers E, Abrahams S, AlFakhri M, Hotz J, Schoeni R, Seltzer J. Disparities in
vulnerability to complications from COVID-19 arising from disparities in preexisting
conditions in the United States. Research in Social Stratification and Mobility.
2020;69:100553.
7
16. Kumar A, Nayar KR. COVID 19 and its mental health consequences. J Ment Health.
2020:1-2.
17. Silver S, Boiano J, Li J. Patient care aides: Differences in healthcare coverage,
healthrelated behaviors, and health outcomes in a low-wage workforce by healthcare
setting. Am J Ind Med. 2020;63:60-73.
18. Silver SR, Li J, Boal WL, Shockey TL, Groenewold MR. Prevalence of Underlying
Medical Conditions Among Selected Essential Critical Infrastructure Workers -
Behavioral Risk Factor Surveillance System, 31 States, 2017-2018. MMWR Morb Mortal
Wkly Rep. 2020;69:1244-1249.
19. Hawkins D. Differential occupational risk for COVID-19 and other infection exposure
according to race and ethnicity. Am J Ind Med. 2020;63:817-820.
20. Ropponen A, Koskinen A, Puttonen S, Harma M. Exposure to working-hour
characteristics and short sickness absence in hospital workers: A case-crossover study
using objective data. Int J Nurs Stud. 2019;91:14-21.
21. Dhabhar FS, McEwen BS. Enhancing versus suppressive effects of stress hormones on
skin immune function. Proc Natl Acad Sci U S A. 1999;96:1059-1064.
22. Dhabhar FS, Miller AH, McEwen BS, Spencer RL. Effects of stress on immune cell
distribution. Dynamics and hormonal mechanisms. J Immunol. 1995;154:5511-5527.
23. Nishiga M, Wang DW, Han Y, Lewis DB, Wu JC. COVID-19 and cardiovascular
disease: from basic mechanisms to clinical perspectives. Nat Rev Cardiol.
2020;17:543558.
24. Dhabhar FS. Enhancing versus suppressive effects of stress on immune function:
implications for immunoprotection and immunopathology. Neuroimmunomodulation.
2009;16:300-317.
25. Glaser R, Kiecolt-Glaser JK. Stress-induced immune dysfunction: implications for health.
Nat Rev Immunol. 2005;5:243-251.
26. Gragnano A, Negrini A, Miglioretti M, Corbiere M. Common Psychosocial Factors
Predicting Return to Work After Common Mental Disorders, Cardiovascular Diseases,
and Cancers: A Review of Reviews Supporting a Cross-Disease Approach. J Occup
Rehabil. 2018;28:215-231.
27. Sterling P, Eyer J. Allostasis: A new paradigm to explain arousal pathology. In: Fisher S,
Reason JT, eds. Handbook of life stress, cognition, and health. Chicester, NY: Wiley;
1988.
28. Dhabhar F, McEwen B. Acute stress enhances while chronic stress suppresses
cellmediated immunity in vivo: a potential role for leukocyte trafficking. Brain Behav
Immun. 1997;11:286-306.
29. Theorell T, Aronsson G. A systematic review including meta-analysis of work
environment and depressive symptoms. BMC Public Health. 2015;15:738.
8
30. Karasek RA, Theorell T. Healthy Work: Stress, productivity, and the Reconstruction of
working life. New York: Basic Books; 1990.
31. Cotrim T, Soares G, Ferreira P, Barnabe R, Teles J, Prata N. Measuring psychosocial
factors and predicting work ability among cemetery workers. Work. 2020;65:111-119.
32. Siegrist J, Peter R, Junge A, Cremer P, Seidel D. Low status control, high effort at work
and ischaemic heart disease: prospective evidence from blue collar men. Social Science
and Medicine. 1990;31:1127-1134.
33. Virtanen M, Katriina Heikkilä, Markus Jokela, et al. Long Working Hours and Coronary
Heart Disease: A Systematic Review and Meta-Analysis. American Journal of
Epidemiology. 2012;176:586–596.
34. Buden JC, Dugan AG, Faghri PD, Huedo-Medina TB, Namazi S, Cherniack MG.
Associations Among Work and Family Health Climate, Health Behaviors, Work
Schedule, and Body Weight. J Occup Environ Med. 2017;59:588-599.
35. Faghri P, Budden J. Overtime, shift work, poor sleep and the effects on obesity: a public
health problem. Journal Nutritional Disorders Ther. 2016;6.
36. Singh AK, Gupta R, Ghosh A, Misra A. Diabetes in COVID-19: Prevalence,
pathophysiology, prognosis and practical considerations. Diabetes Metab Syndr.
2020;14:303-310.
37. Zhang J, Wang X, Jia X, et al. Risk factors for disease severity, unimprovement, and
mortality in COVID-19 patients in Wuhan, China. Clin Microbiol Infect.
2020;26:767772.
38. Dhabhar F, McEwen B. Bidirectional effects of stress on immune function: possible
explanations for salubrious as well as harmful effects. In: Ader R, ed.
Psychoneuroimmunology. San Diego, CA: Elsevier; 2007:723-760.
39. Tay MZ, Poh CM, Renia L, MacAry PA, Ng LFP. The trinity of COVID-19: immunity,
inflammation and intervention. Nat Rev Immunol. 2020;20:363-374.
40. Gouin J-P, Hantsoo L, Kiecolt-Glaser JK. Immune dysregulation and chronic stress
among older adults: a review. Neuroimmunomodulation. 2008;15:251-259.
41. Liu K, Chen Y, Lin R, Han K. Clinical features of COVID-19 in elderly patients: A
comparison with young and middle-aged patients. J Infect. 2020;80:e14-e18.
42. Nazarov S, Manuwald U, Leonardi M, et al. Chronic Diseases and Employment: Which
Interventions Support the Maintenance of Work and Return to Work among Workers
with Chronic Illnesses? A Systematic Review. Int J Environ Res Public Health. 2019;16.
43. Ubalde-Lopez M, Arends I, Almansa J, Delclos GL, Gimeno D, Bultmann U. Beyond
Return to Work: The Effect of Multimorbidity on Work Functioning Trajectories After
Sick Leave due to Common Mental Disorders. J Occup Rehabil. 2017;27:210-217.
9
44. Needham BL, Adler N, Gregorich S, et al. Socioeconomic status, health behavior, and
leukocyte telomere length in the National Health and Nutrition Examination Survey,
1999-2002. Soc Sci Med. 2013;85:1-8.
45. Epel ES, Blackburn EH, Lin J, et al. Accelerated telomere shortening in response to life
stress. Proc Natl Acad Sci U S A. 2004;101:17312-17315.
46. Steptoe A, Zaninotto P. Lower socioeconomic status and the acceleration of aging: An
outcome-wide analysis. Proc Natl Acad Sci U S A. 2020;117:14911-14917.
47. Segerstrom SC, Miller GE. Psychological stress and the human immune system: a
metaanalytic study of 30 years of inquiry. Psychol Bull. 2004;130:601-630.
48. Kivimaki M, Kawachi I. Work Stress as a Risk Factor for Cardiovascular Disease. Curr
Cardiol Rep. 2015;17:630.
49. Kouwenhoven-Pasmooij TA, Burdorf A, Roos-Hesselink JW, Hunink MG, Robroek SJ.
Cardiovascular disease, diabetes and early exit from paid employment in Europe; the
impact of work-related factors. Int J Cardiol. 2016;215:332-337.
50. Scott AR. Employment of workers with cardiac diseases. J Soc Occup Med.
1985;35:99102.
51. Jones J, Huxtable C, Hodgson J. Self reported work related illness in Great Britain. Great
Britain: HSE Epidemiology and Medical Statistics Unit; 2002.
52. Li J, Loerbroks A, Bosma H, Angerer P. Work stress and cardiovascular disease: a life
course perspective. J Occup Health. 2016;58:216-219.
53. COVID19 Care: Vulnerable Populations. British Columbia Centre for Disease Control.
54. Stressed, Unsafe, and Insecure: Essential Workers Need A New, New Deal.: University
of Massachusetts Labor Center and Center for Employment Equity, June 5; 2020.
55. Managing work-related psychosocial risks during the COVID-19 pandemic. Geneva:
International Labor Organization; 2020.
56. Burdorf A, Porru F, Rugulies R. The COVID-19 (Coronavirus) pandemic: consequences
for occupational health. Scandinavian Journal of Work, Environment & Health.
2020:229-230.
57. Czeisler ME, Lane RI, Petrosky E, et al. Mental Health, Substance Use, and Suicidal
Ideation During the COVID-19 Pandemic - United States, June 24-30, 2020. MMWR
Morb Mortal Wkly Rep. 2020;69:1049-1057.
58. Increase in Fatal Drug Overdoses Across the United States Driven by Synthetic Opioids
Before and During the COVID-19 Pandemic.: CDC Health Alert Network; 2020.
59. Tomer A, Kane J. How to protect essential workers during COVID-19. Washington,
D.C.; 2020.
10
60. Michael Grabell CP, Bernice Yeung. Emails Reveal Chaos as Meatpacking Companies
Fought Health Agencies Over COVID-19 outbreaks in their Plants. ProPublica June 12,
2020; 2020.
61. Waltenburg MA VT, Rose CE, et al. Update: COVID-19 Among Workers in Meat and
Poultry Processing Facilities ― United States, April–May 2020. . MMWR Morb Mortal
Wkly Report. 2020;69:887-892.
62. Kinman G, Grant C. Presenteeism during the COVID-19 pandemic: risks and solutions.
Occup Med (Lond). 2020.
Figure 1 legend
Figure 1. Socioeconomic status, race/ethnicity, working conditions and risk of SARS-CoV-2
infection and COVID-19 severity.
Note: “Differential exposure” refers to greater exposure to SARS-CoV-2 and risk of infection by
people experiencing lower socioeconomic working and living conditions, “essential workers”
and workers of color. “Differential vulnerability” refers to risk factors (resulting from living and
working conditions) that increase COVID-19 severity, if an individual is infected by SARSCoV-
2.
!"#$%&
'Figure 1- The contribution of social factors and working conditions to COVID-19 epidemic
Work
Essential work
+
low wages
+
SARS
-
CoV
-
Exposure
2
COVID - 19
Illness
Severity
Sequelae
Differential Exposure
Physiological Impacts:
Inflammation
C
(
-
Reactive Protein,
ACE2 - renin -
angiotensin aldosterone system
Weakened Immune System
Increased cytokines
Lower lymphocytes
Non
-
Work
Living conditions
Multi
-
generational families
Public Transportation
“Pre
-
existing conditions
Hypertension
Diabetes/metabolic syndrome
Obesity
Differential
Vulnerability
Government support for
worker rights, health
Race
Ethnicity
Low SES
1
... Other families, especially those in the middle and bottom of the social strata, live with heightened concerns about COVID-19 and its impact on their financial livelihoods (Wall Street Journal, 2020), particularly for the younger generation (Garner et al., 2020). For essential employees working directly with customers, such as food service workers, these concerns were amplified; employees needed to work in public spaces to get paid, even if this made them at greater risk of contracting COVID-19 (Faghri et al., 2021). However, failure to work in these environments increased the risks of financial hardship (Faghri et al., 2021). ...
... For essential employees working directly with customers, such as food service workers, these concerns were amplified; employees needed to work in public spaces to get paid, even if this made them at greater risk of contracting COVID-19 (Faghri et al., 2021). However, failure to work in these environments increased the risks of financial hardship (Faghri et al., 2021). At the onset of the pandemic, individuals living in economic hardship had difficulty paying for the usual household expenses (e.g., food, mortgage, medical; Garner et al., 2020), likely due to reductions in work hours, layoffs, and job loss work-all of which compounded the financially fragile reality of these households (Friedline et al., 2020;Zabek & Larrimore, 2020). ...
Article
During the early stages of the coronavirus pandemic, consumers faced challenges related to obtaining household items due to shortages and limitations in shopping. Researchers from the University of Tennessee conducted a national, web-based consumer survey of 300 consumers in late April 2020 to better understand consumer behavior, shopping patterns, and demand shifts for goods and services. Major findings demonstrate that consumers have increased shopping for essential products from brick-and-mortar national chains, avoided brick-and-mortar small businesses, and have chosen to shop more by themselves, often choosing to forgo spending from across all product categories, compared to prior to the pandemic. Additionally, results indicate that lower levels of positive emotions and active resilience are responsible for higher levels of shopping frequency. Additionally, lower levels of passive resilience and optimism are associated with increases in co-shopping behaviors. Findings from this study provide insight into the changes among consumers during trying times and the influence of consumers’ emotions and individual characteristics in helping to explain these changes in family resource management and mental health, as well as consumer resilience amidst changing macroeconomic conditions.
... Workers that were doing their work from home experienced reduced social interactions, decreased overall physical activity, inadequate workstations, inappropriate distractions and/or interruptions, blurred work-life boundaries, extended working hours and higher workload (34). While those workers whose work could not be done from home were subjected to an increased likelihood of infection, constant vigilance and the adoption of new demanding hygiene measures to avoid SARS-CoV-2 exposure and the fear of being infected and transmitting the infection to family members (35). Therefore, the variables studied were the usual sociodemographic ones such as sex, age, marital status, highest education level completed, Brazilian region of residence, number of children and health status among others. ...
Article
Full-text available
Background COVID-19 pandemic imposed drastic and abrupt changes to working environment and organization and that might have caused additional negative effects on mental health. Thus, this study aimed to quantify and assess the severity of psychological distress experienced by Brazilian essential and nonessential workers during the first months of the COVID-19 pandemic. Methods This descriptive study included 2,903 participants who answered an online questionnaire between April and May 2020. The research questionnaire was translated and culturally adapted to the Brazilian population from a questionnaire developed and validated for the Spanish population. Variables were analyzed using simple and cumulative percentage distributions and measures of central tendency and dispersion. The Wilson score interval was used to calculate confidence interval (CI) for the main outcome, psychological distress. Results It was observed a high prevalence (72.6%) of psychological distress among the study’s participants. They also presented a median risk perception score of 60 (out of a maximum of 90), and their greatest concern was transmitting the virus to family members, close contacts or patients. Furthermore, it was found a lower sense of coherence and work engagement among the participants than those observed in previous studies conducted in other countries. Conclusion Almost three quarters of the study’s participants were classified as presenting psychological distress. Thus, it is imperative to provide mental health remotely delivered interventions to workers during public health events that require prolonged social distancing measures.
... frigoríficos) ou, inclusive, com exposição direta a pessoas infectadas (ex. trabalhadores da saúde) 10,11 . Tais diferenças são corroboradas em estudo realizado em 2020 com mais de 110 mil trabalhadores nos Estados Unidos, em instalações de processamento de carnes e aves, que mostrou o quão rapidamente o vírus SARS-CoV-2 pode se espalhar em ambientes propícios. ...
Article
Full-text available
Resumo Objetivo: descrever as características dos casos de COVID-19 relacionados ao trabalho notificados no Brasil, em 2020 e 2021. Métodos: estudo descritivo com dados do Sistema de Informação de Agravos de Notificação (Sinan). Foram calculadas as frequências de casos segundo variáveis sociodemográficas, ocupacionais e epidemiológicas. Resultados: nos anos de 2020 e 2021, foram notificados 36.110 e 34.508 casos de COVID-19 relacionados ao trabalho, respectivamente. Considerando os dois anos, houve maior frequência de notificações de casos de indivíduos do sexo feminino (65,1%), de raça/cor da pele preta e parda (42,1%) e na faixa etária de 30 a 39 anos (32,8%). A região Nordeste concentrou 28,4% dos casos notificados. Houve emissão de comunicação de acidente de trabalho (CAT) em 13,5% dos casos notificados, com elevada proporção de informação ausente para essa variável (42,6%). As categorias ocupacionais com mais notificações foram técnicos de nível médio (31,0%) e profissionais de ciências e artes (23,7%). A evolução cura foi a mais frequente nos dois anos analisados (2020: 72,0%; 2021: 68,0%). Conclusão: os resultados apontam para um perfil de casos com predominância de mulheres, trabalhadores(as) de raça/cor da pele preta e parda e com idades entre 30 e 39 anos. Destaca-se, ainda, a baixa completude das notificações.
... In general, essential workers who cannot work remotely were considered at greater risk of SARS-CoV-2 infection due to their working conditions bringing them into closer contact with those already infected. Other risk factors may impact in different ways the vulnerability with respect to the severity of Covid-19 illness (i.e., stressful working and low-income living conditions which may increase the risk of comorbidity conditions) [14]. ...
Article
Full-text available
Background. Starting from March 2020 until December 2021, different phases of Covid-19 pandemic have been identified in Italy, with several containing/lifting measures progressively enforced by the National government. In the present study we investigate the change in occupational risk during the subsequent pandemic phases and we propose an estimate of the incidence of the cases by economic sector, based on the analysis of insurance claims for compensation for Covid-19. Methods. Covid-19 epidemiological data available for general population and injury claims of workers covered by Italian public insurance system in 2020-2021 were analyzed. Monthly Incidence Rate of Covid-19 compensation claims per 100,000 workers (MIRw) was calculated by economic sector and compared with the same indicator for general population in different pandemic periods. Results. The distribution of Covid-19 MIRw by sector significantly changed during the pandemic related to both the strength of different waves and the mitigation/lifting strategies enforced. The level of occupational fraction was very high at the beginning phase of the pandemic, decreasing until 5% at the end of 2021. Healthcare and related services were continuously hit but the incidence was significantly decreasing in 2021 in all sectors, except for postal and courier activities in transportation and storage enterprises. Conclusions. The analysis of compensation claim data allowed to identify time trends for infection risk in different working sectors. The claim rates were highest for human health and social work activities but the distribution of risk among sectors was clearly influenced by the different stages of the pandemic.
... In recent times, employees are constantly overwhelmed and stressed because of excessive work time, thus their capacity for creative thinking and problem-solving has diminished. Also, Entrepreneurial behavior relies heavily on creativity and innovative thinking, so when these qualities are compromised, employees may struggle to come up with new ideas and initiatives (Faghri et al., 2021). ...
Article
Full-text available
The Covid outbreak and the resulting work processes have led to excessive work pressure requirements for a large majority of the employees due to continuous requirements for adaptation to changing work processes. However, outcomes of new work dynamics on employees’ behavioral and attitudinal changes have been insufficiently examined during and after the Covid period. Hence, this empirical research has used the social identity theory to conceptualize and test the relationship between excessive work time and the entrepreneurial behavior of employees. Moreover, the mediating role of socialization tactics and creative self-efficacy, as well as the moderating role of resilience are also examined in the above relationship for unveiling the role of crucial intervening and conditional factors in individualized change experiences. Based on the analysis of data collected from managerial-level employees through the use of structural equation modeling, the empirical results have suggested a negative impact of excessive work time on the entrepreneurial behavior of employees. Also, the intervening role of formal socialization and creative self-efficacy were found to be significant in this relationship, thus suggesting the crucial direct as well as indirect relationships. Using the findings, implications as well as future research directions are discussed towards the end of the article.
Article
The COVID-19 pandemic has impacted geographers and specialists of other areas, driving them to generate knowledge aimed to explain and find solutions to the health crisis that emerged in March 2020. Within the field of geography, quantitative methods, and geotechnologies have been employed to collect measurable data which prove useful explanation and the logical relationship between variables, verifying hypotheses related to COVID-19 contagion and mortality cases. Health geography, as a disciplinary branch, has investigated the spatial-temporal distribution and dynamics of diseases, seeking to understand the processes explaining the spatial structure of them during a pandemic. In this context, a case of study, Mexico City, seeks to address questions from a health geography perspective, such as: What were the causes behind the high levels of pandemic contagion? Which environmental, social, and health factors in time and space relate and contribute to a greater impact of the pandemic? How do these factors interact with each other, and how have they influenced the increase or decrease in contagion and mortality cases? What are the short, medium, and long-term scenarios of COVID-19? To address these inquiries, spatial analysis methods and geotechnological techniques, approached holistically and have efficiently supported the identification of COVID-19 contagion risk zones and their specific characteristics. These insights prove invaluable information for spatial decision-making in comprehensive planning and territorial management.
Article
Background Although many people infected with SARS‐CoV‐2 (severe acute respiratory syndrome coronavirus 2) experience no or mild symptoms, some individuals can develop severe illness and may die, particularly older people and those with underlying medical problems. Providing evidence‐based interventions to prevent SARS‐CoV‐2 infection has become more urgent with the potential psychological toll imposed by the coronavirus disease 2019 (COVID‐19) pandemic. Controlling exposures to occupational hazards is the fundamental method of protecting workers. When it comes to the transmission of viruses, workplaces should first consider control measures that can potentially have the most significant impact. According to the hierarchy of controls, one should first consider elimination (and substitution), then engineering controls, administrative controls, and lastly, personal protective equipment. This is the first update of a Cochrane review published 6 May 2022, with one new study added. Objectives To assess the benefits and harms of interventions in non‐healthcare‐related workplaces aimed at reducing the risk of SARS‐CoV‐2 infection compared to other interventions or no intervention. Search methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, Web of Science Core Collections, Cochrane COVID‐19 Study Register, World Health Organization (WHO) COVID‐19 Global literature on coronavirus disease, ClinicalTrials.gov, the WHO International Clinical Trials Registry Platform, and medRxiv to 13 April 2023. Selection criteria We included randomised controlled trials (RCTs) and non‐randomised studies of interventions. We included adult workers, both those who come into close contact with clients or customers (e.g. public‐facing employees, such as cashiers or taxi drivers), and those who do not, but who could be infected by coworkers. We excluded studies involving healthcare workers. We included any intervention to prevent or reduce workers' exposure to SARS‐CoV‐2 in the workplace, defining categories of intervention according to the hierarchy of hazard controls (i.e. elimination; engineering controls; administrative controls; personal protective equipment). Data collection and analysis We used standard Cochrane methods. Our primary outcomes were incidence rate of SARS‐CoV‐2 infection (or other respiratory viruses), SARS‐CoV‐2‐related mortality, adverse events, and absenteeism from work. Our secondary outcomes were all‐cause mortality, quality of life, hospitalisation, and uptake, acceptability, or adherence to strategies. We used the Cochrane RoB 2 tool to assess risk of bias, and GRADE methods to evaluate the certainty of evidence for each outcome. Main results We identified 2 studies including a total of 16,014 participants. Elimination‐of‐exposure interventions We included one study examining an intervention that focused on elimination of hazards, which was an open‐label, cluster‐randomised, non‐inferiority trial, conducted in England in 2021. The study compared standard 10‐day self‐isolation after contact with an infected person to a new strategy of daily rapid antigen testing and staying at work if the test is negative (test‐based attendance). The trialists hypothesised that this would lead to a similar rate of infections, but lower COVID‐related absence. Staff (N = 11,798) working at 76 schools were assigned to standard isolation, and staff (N = 12,229) working at 86 schools were assigned to the test‐based attendance strategy. The results between test‐based attendance and standard 10‐day self‐isolation were inconclusive for the rate of symptomatic polymerase chain reaction (PCR)‐positive SARS‐CoV‐2 infection (rate ratio (RR) 1.28, 95% confidence interval (CI) 0.74 to 2.21; 1 study; very low‐certainty evidence). The results between test‐based attendance and standard 10‐day self‐isolation were inconclusive for the rate of any PCR‐positive SARS‐CoV‐2 infection (RR 1.35, 95% CI 0.82 to 2.21; 1 study; very low‐certainty evidence). COVID‐related absenteeism rates were 3704 absence days in 566,502 days‐at‐risk (6.5 per 1000 working days) in the control group and 2932 per 539,805 days‐at‐risk (5.4 per 1000 working days) in the intervention group (RR 0.83, 95% CI 0.55 to 1.25). We downgraded the certainty of the evidence to low due to imprecision. Uptake of the intervention was 71% in the intervention group, but not reported for the control intervention. The trial did not measure our other outcomes of SARS‐CoV‐2‐related mortality, adverse events, all‐cause mortality, quality of life, or hospitalisation. We found seven ongoing studies using elimination‐of‐hazard strategies, six RCTs and one non‐randomised trial. Administrative control interventions We found one ongoing RCT that aims to evaluate the efficacy of the Bacillus Calmette‐Guérin (BCG) vaccine in preventing COVID‐19 infection and reducing disease severity. Combinations of eligible interventions We included one non‐randomised study examining a combination of elimination of hazards, administrative controls, and personal protective equipment. The study was conducted in two large retail companies in Italy in 2020. The study compared a safety operating protocol, measurement of body temperature and oxygen saturation upon entry, and a SARS‐CoV‐2 test strategy with a minimum activity protocol. Both groups received protective equipment. All employees working at the companies during the study period were included: 1987 in the intervention company and 1798 in the control company. The study did not report an outcome of interest for this systematic review. Other intervention categories We did not find any studies in this category. Authors' conclusions We are uncertain whether a test‐based attendance policy affects rates of PCR‐positive SARS‐CoV‐2 infection (any infection; symptomatic infection) compared to standard 10‐day self‐isolation amongst school and college staff. A test‐based attendance policy may result in little to no difference in absenteeism rates compared to standard 10‐day self‐isolation. The non‐randomised study included in our updated search did not report any outcome of interest for this Cochrane review. As a large part of the population is exposed in the case of a pandemic, an apparently small relative effect that would not be worthwhile from the individual perspective may still affect many people, and thus become an important absolute effect from the enterprise or societal perspective. The included RCT did not report on any of our other primary outcomes (i.e. SARS‐CoV‐2‐related mortality and adverse events). We identified no completed studies on any other interventions specified in this review; however, eight eligible studies are ongoing. More controlled studies are needed on testing and isolation strategies, and working from home, as these have important implications for work organisations.
Article
Our review critically examines research on trends in mental health among US adults following the COVID-19 pandemic’s onset and makes recommendations for research on the topic. Studies comparing pre-pandemic nationally representative government surveys (“benchmark surveys”) with pandemic-era non-benchmark surveys generally estimated threefold to fourfold increases in the prevalence of adverse mental-health outcomes following the pandemic’s onset. However, studies analyzing trends in repeated waves of a single survey, which may carry a lower risk of bias, generally estimated much smaller increases in adverse outcomes. Likewise in our analysis of benchmark surveys, we estimated < 1% increases in the prevalence of adverse outcomes from 2018/2019–2021. Finally, studies analyzing vital-statistics data estimated spiking fatal-overdose rates, but stable suicide rates. Although fatal-overdose rates increased substantially following the pandemic’s onset, evidence suggests the population prevalence of other adverse mental-health outcomes may have departed minimally from prior years’ trends, at least through 2021. Future research on trends through the pandemic’s later stages should prioritize leveraging repeated waves of benchmark surveys to minimize risk of bias.
Article
Introduction: Little is known about the experiences of immigrant families with COVID-19 illness. This mixed methods study compared child and household experiences at the time of a child's COVID-19 diagnosis between immigrant and US-born parents and explored immigrant Latino perspectives on underlying causes of COVID-19 disparities between immigrant and US-born families. Methods: Study data includes surveys of parents of a child with a positive SARS-CoV2 test resulting at Children's Hospital Colorado and focus groups with Latino immigrant adults. We compared household COVID-19 experiences, use of mitigation measures, vaccine intention and sociodemographic information between survey participants stratified by nativity and completed thematic qualitative data analysis. Results: Findings from quantitative data were reinforced by qualitative data including: lower socio-economic status and higher employment in essential services increased infections and spread in immigrant families and higher risk of limited information access related to language barriers and prevalent misinformation. Survey results showed no difference in COVID-19 vaccine intention by nativity. Focus group participants reported limited access to non-English language culturally-tailored vaccine information and competing work demands decreased uptake. Conclusion: Avoiding exacerbating disparities in the face of another public health emergency requires focused investments in policies and approaches specifically directed at immigrant communities.
Article
Full-text available
The COVID-19 pandemic means that many organizations are under considerable pressure to remain productive and profitable. Although reducing the cost of sickness absence may seem a priority, there is growing evidence that sickness presenteeism (continuing to work when unwell) is far more costly than absenteeism [ 1, 2]. It is therefore crucial to highlight the wide-ranging costs of presenteeism for individuals and organization, the factors that encourage it, and the additional risks posed by the pandemic. How organizations can reduce the incidence and damage caused by presenteeism should also be considered.
Article
Full-text available
The COVID-19 pandemic has magnified U.S. health disparities. Though disparities in COVID-19 hospitalization by race-ethnicity are large, disparities by income and education have not been studied. Using an index based on preexisting health conditions and age, we estimate disparities in vulnerability to hospitalization from COVID-19 by income, education, and race-ethnicity for U.S. adults. The index uses estimates of health condition and age effects on hospitalization for respiratory distress prior to the pandemic validated on COVID-19 hospitalizations. We find vulnerability arising from preexisting conditions is nearly three times higher for bottom versus top income quartile adults and 60% higher for those with a high-school degree relative to a college degree. Though non-Hispanic Blacks are more vulnerable than non-Hispanic Whites at comparable ages, among all adults the groups are equally vulnerable because non-Hispanic Blacks are younger. Hispanics are the least vulnerable. Results suggest that income and education disparities in hospitalization are likely large and should be examined directly to further understand the unequal impact of the pandemic.
Article
Full-text available
Certain underlying medical conditions are associated with higher risks for severe morbidity and mortality from coronavirus disease 2019 (COVID-19) (1). Prevalence of these underlying conditions among workers differs by industry and occupation. Many essential workers, who hold jobs critical to the continued function of infrastructure operations (2), have high potential for exposure to SARS-CoV-2, the virus that causes COVID-19, because their jobs require close contact with patients, the general public, or coworkers. To assess the baseline prevalence of underlying conditions among workers in six essential occupations and seven essential industries, CDC analyzed data from the 2017 and 2018 Behavioral Risk Factor Surveillance System (BRFSS) surveys, the most recent data available.* This report presents unadjusted prevalences and adjusted prevalence ratios (aPRs) for selected underlying conditions. Among workers in the home health aide occupation and the nursing home/rehabilitation industry, aPRs were significantly elevated for the largest number of conditions. Extra efforts to minimize exposure risk and prevent and treat underlying conditions are warranted to protect workers whose jobs increase their risk for exposure to SARS-CoV-2.
Article
Full-text available
The coronavirus disease 2019 (COVID-19) pandemic has been associated with mental health challenges related to the morbidity and mortality caused by the disease and to mitigation activities, including the impact of physical distancing and stay-at-home orders.* Symptoms of anxiety disorder and depressive disorder increased considerably in the United States during April-June of 2020, compared with the same period in 2019 (1,2). To assess mental health, substance use, and suicidal ideation during the pandemic, representative panel surveys were conducted among adults aged ≥18 years across the United States during June 24-30, 2020. Overall, 40.9% of respondents reported at least one adverse mental or behavioral health condition, including symptoms of anxiety disorder or depressive disorder (30.9%), symptoms of a trauma- and stressor-related disorder (TSRD) related to the pandemic† (26.3%), and having started or increased substance use to cope with stress or emotions related to COVID-19 (13.3%). The percentage of respondents who reported having seriously considered suicide in the 30 days before completing the survey (10.7%) was significantly higher among respondents aged 18-24 years (25.5%), minority racial/ethnic groups (Hispanic respondents [18.6%], non-Hispanic black [black] respondents [15.1%]), self-reported unpaid caregivers for adults§ (30.7%), and essential workers¶ (21.7%). Community-level intervention and prevention efforts, including health communication strategies, designed to reach these groups could help address various mental health conditions associated with the COVID-19 pandemic.
Article
Full-text available
We used data from the Medical Expenditure Panel Survey to explore potential explanations for racial-ethnic disparities in coronavirus disease 2019 (COVID-19) hospitalizations and mortality. Black adults in every age group were more likely than whites to have health risks associated with severe COVID-19 illness. However, whites were older on average than blacks. Thus, when all factors were considered, whites tended to be at higher overall risk compared to blacks, with Asians and Hispanics having much lower overall levels of risk compared to either whites or blacks. We explored additional explanations for COVID-19 disparities, namely differences in job characteristics and how they interact with household composition. Blacks at high risk of severe illness were 1.6 times as likely as whites to live in households containing health-sector workers. Among Hispanic adults at high risk of severe illness, 64.5 percent lived in households with at least one worker who was unable to work at home, versus 56.5 percent among blacks and only 46.6 percent among whites. [Editor's Note: This Fast Track Ahead Of Print article is the accepted version of the peer-reviewed manuscript. The final edited version will appear in an upcoming issue of Health Affairs.].
Article
Background The disease burden of coronavirus disease 2019 (COVID‐19) is not uniform across occupations. Although healthcare workers are well‐known to be at increased risk, data for other occupations are lacking. In lieu of this, models have been used to forecast occupational risk using various predictors, but no model heretofore has used data from actual case numbers. This study assesses the differential risk of COVID‐19 by occupation using predictors from the Occupational Information Network (O*NET) database and correlating them with case counts published by the Washington State Department of Health to identify workers in individual occupations at highest risk of COVID‐19 infection. Methods The O*NET database was screened for potential predictors of differential COVID‐19 risk by occupation. Case counts delineated by occupational group were obtained from public sources. Prevalence by occupation was estimated and correlated with O*NET data to build a regression model to predict individual occupations at greatest risk. Results Two variables correlate with case prevalence: disease exposure (r = 0.66; p = 0.001) and physical proximity (r = 0.64; p = 0.002), and predict 47.5% of prevalence variance (p = 0.003) on multiple linear regression analysis. The highest risk occupations are in healthcare, particularly dental, but many nonhealthcare occupations are also vulnerable. Conclusions Models can be used to identify workers vulnerable to COVID‐19, but predictions are tempered by methodological limitations. Comprehensive data across many states must be collected to adequately guide implementation of occupation‐specific interventions in the battle against COVID‐19.
Article
Objectives To investigate SARS-CoV-2 (the virus causing COVID-19) infection and exposure risks among grocery retail workers, and to investigate their mental health state during the pandemic. Methods This cross-sectional study was conducted in May 2020 in a single grocery retail store in Massachusetts, USA. We assessed workers’ personal/occupational history and perception of COVID-19 by questionnaire. The health outcomes were measured by nasopharyngeal SARS-CoV-2 reverse transcriptase PCR (RT-PCR) results, General Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9). Results Among 104 workers tested, 21 (20%) had positive viral assays. Seventy-six per cent positive cases were asymptomatic. Employees with direct customer exposure had an odds of 5.1 (95% CI 1.1 to 24.8) being tested positive for SARS-CoV-2 after adjustments. As to mental health, the prevalence of anxiety and depression (ie, GAD-7 score >4 or PHQ-9 score >4) was 24% and 8%, respectively. After adjusting for potential confounders, those able to practice social distancing consistently at work had odds of 0.3 (95% CI 0.1 to 0.9) and 0.2 (95% CI 0.03 to 0.99) screening positive for anxiety and depression, respectively. Workers commuting by foot, bike or private cars were less likely to screen positive for depression (OR 0.1, 95% CI 0.02 to 0.7). Conclusions In this single store sample, we found a considerable asymptomatic SARS-CoV-2 infection rate among grocery workers. Employees with direct customer exposure were five times more likely to test positive for SARS-CoV-2. Those able to practice social distancing consistently at work had significantly lower risk of anxiety or depression.
Article
This article provides detailed estimates of foreign-born (immigrant) workers in the United States who are employed in “essential critical infrastructure” sectors, as defined by the Cybersecurity and Infrastructure Security Agency (CISA) of the US Department of Homeland Security (DHS) (DHS 2020). Building on earlier work by the Center for Migration Studies (CMS), the article offers exhaustive estimates on essential workers on a national level, by state, for large metropolitan statistical areas (MSAs), and for smaller communities that heavily rely on immigrant labor. It also reports on these workers by job sector; immigration status; eligibility for tax rebates under the Coronavirus Aid, Relief, and Economic Security Act (CARES Act); and other characteristics. It finds that:
Article
Objectives Ascertain COVID-19 transmission dynamics among Latino communities nationally. Methods We compared predictors of COVID-19 cases and deaths between disproportionally Latino counties (>17.8% Latino population) and all other counties through May 11, 2020. Adjusted Rate Ratios were estimated using COVID-19 cases and deaths via zero-inflated binomial regression models. Results COVID-19 diagnoses rates were greater in Latino counties nationally (90.9 vs. 82.0 per 100,000). In multivariable analysis, COVID-19 cases were greater in Northeastern and Midwestern Latino counties (aRR 1.42, 95% CI 1.11–1.84 and aRR 1.70, 95% CI 1.57–1.85, respectively). COVID-19 deaths were greater in Midwestern Latino counties (aRR, 1.17, 95% CI 1.04-1.34). COVID-19 diagnoses were associated with counties with greater monolingual Spanish speakers, employment rates, heart disease deaths, less social distancing, and days since the first reported case. COVID-19 deaths were associated with household occupancy density, air pollution, employment, days since the first reported case, and age (fewer <35yo). Conclusions COVID-19 risks and deaths among Latino populations differ by region. Structural factors place Latino populations and particularly monolingual Spanish speakers at elevated risk for COVID-19 acquisition.
Article
Coronavirus disease 2019 (COVID-19), caused by a strain of coronavirus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global pandemic that has affected the lives of billions of individuals. Extensive studies have revealed that SARS-CoV-2 shares many biological features with SARS-CoV, the zoonotic virus that caused the 2002 outbreak of severe acute respiratory syndrome, including the system of cell entry, which is triggered by binding of the viral spike protein to angiotensin-converting enzyme 2. Clinical studies have also reported an association between COVID-19 and cardiovascular disease. Pre-existing cardiovascular disease seems to be linked with worse outcomes and increased risk of death in patients with COVID-19, whereas COVID-19 itself can also induce myocardial injury, arrhythmia, acute coronary syndrome and venous thromboembolism. Potential drug–disease interactions affecting patients with COVID-19 and comorbid cardiovascular diseases are also becoming a serious concern. In this Review, we summarize the current understanding of COVID-19 from basic mechanisms to clinical perspectives, focusing on the interaction between COVID-19 and the cardiovascular system. By combining our knowledge of the biological features of the virus with clinical findings, we can improve our understanding of the potential mechanisms underlying COVID-19, paving the way towards the development of preventative and therapeutic solutions.