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1.
Am J Ind Med ; 66(7): 587-600, 2023 07.
Article in English | MEDLINE | ID: covidwho-2315019

ABSTRACT

BACKGROUND: While the occupational risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection for healthcare personnel in the United States has been relatively well characterized, less information is available on the occupational risk for workers employed in other settings. Even fewer studies have attempted to compare risks across occupations and industries. Using differential proportionate distribution as an approximation, we evaluated excess risk of SARS-CoV-2 infection by occupation and industry among non-healthcare workers in six states. METHODS: We analyzed data on occupation and industry of employment from a six-state callback survey of adult non-healthcare workers with confirmed SARS-CoV-2 infection and population-based reference data on employment patterns, adjusted for the effect of telework, from the U.S. Bureau of Labor Statistics. We estimated the differential proportionate distribution of SARS-CoV-2 infection by occupation and industry using the proportionate morbidity ratio (PMR). RESULTS: Among a sample of 1111 workers with confirmed SARS-CoV-2 infection, significantly higher-than-expected proportions of workers were employed in service occupations (PMR 1.3, 99% confidence interval [CI] 1.1-1.5) and in the transportation and utilities (PMR 1.4, 99% CI 1.1-1.8) and leisure and hospitality industries (PMR 1.5, 99% CI 1.2-1.9). CONCLUSIONS: We found evidence of significant differences in the proportionate distribution of SARS-CoV-2 infection by occupation and industry among respondents in a multistate, population-based survey, highlighting the excess risk of SARS-CoV-2 infection borne by some worker populations, particularly those whose jobs require frequent or prolonged close contact with other people.


Subject(s)
COVID-19 , Adult , Humans , United States/epidemiology , COVID-19/epidemiology , SARS-CoV-2 , Occupations , Industry , Health Personnel
2.
Int J Environ Res Public Health ; 20(4)2023 Feb 07.
Article in English | MEDLINE | ID: covidwho-2230571

ABSTRACT

COVID-19 workplace mitigation strategies implemented within US businesses have been effective at preventing disease and protecting workers, but the extent of their use is not well understood. We examined reported COVID-19 workplace mitigation strategies by business size, geographic region, and industry using internet panel survey data from US adult respondents working full- or part-time outside the home (fall 2020, N = 1168) andfull- or part-time, inside or outside the home (fall 2021, N = 1778). We used chi-square tests to assess the differences in the strategies used (e.g., masking and COVID-19 screening) and ANOVA tests to examine the group differences on a mitigation strategies summative score. Fewer COVID-19 mitigation strategies were reported by respondents in fall 2021 (compared to fall 2020) across businesses of different sizes and regions. The participants in microbusinesses (1-10 employees) reported significantly (p < 0.05) lower mitigation scores than all other business sizes, and the respondents in these businesses were significantly less likely (p < 0.05) to have paid leave than those in enterprises with >10 employees. The healthcare and education sectors had the highest reported mean score of COVID-19 workplace mitigation strategies. Small and essential businesses are critical to the US economy. Insight is needed on their use of mitigation strategies to protect workers during the current and future pandemics.


Subject(s)
COVID-19 , Occupational Health , Adult , Humans , United States , Pandemics , Workplace , Policy
3.
Clin Infect Dis ; 75(Supplement_2): S216-S224, 2022 Oct 03.
Article in English | MEDLINE | ID: covidwho-2051345

ABSTRACT

BACKGROUND: Surveillance systems lack detailed occupational exposure information from workers with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The National Institute for Occupational Safety and Health partnered with 6 states to collect information from adults diagnosed with SARS-CoV-2 infection who worked in person (outside the home) in non-healthcare settings during the 2 weeks prior to illness onset. METHODS: The survey captured demographic, medical, and occupational characteristics and work- and non-work-related risk factors for SARS-CoV-2 infection. Reported close contact with a person known or suspected to have SARS-CoV-2 infection was categorized by setting as exposure at work, exposure outside of work only, or no known exposure/did not know. Frequencies and percentages of exposure types are compared by respondent characteristics and risk factors. RESULTS: Of 1111 respondents, 19.4% reported exposure at work, 23.4% reported exposure outside of work only, and 57.2% reported no known exposure/did not know. Workers in protective service occupations (48.8%) and public administration industries (35.6%) reported exposure at work most often. More than one third (33.7%) of respondents who experienced close contact with ≥10 coworkers per day and 28.8% of respondents who experienced close contact with ≥10 customers/clients per day reported exposures at work. CONCLUSIONS: Exposure to occupational SARS-CoV-2 was common among respondents. Examining differences in exposures among different worker groups can help identify populations with the greatest need for prevention interventions. The benefits of recording employment characteristics as standard demographic information will remain relevant as new and reemerging public health issues occur.


Subject(s)
COVID-19 , Occupational Exposure , Occupational Health , Adult , COVID-19/epidemiology , Health Personnel , Humans , Occupational Exposure/adverse effects , Risk Factors , SARS-CoV-2 , United States/epidemiology
4.
MMWR Morb Mortal Wkly Rep ; 70(7): 250-253, 2021 Feb 19.
Article in English | MEDLINE | ID: covidwho-1089244

ABSTRACT

Certain hazard controls, including physical barriers, cloth face masks, and other personal protective equipment (PPE), are recommended to reduce coronavirus 2019 (COVID-19) transmission in the workplace (1). Evaluation of occupational hazard control use for COVID-19 prevention can identify inadequately protected workers and opportunities to improve use. CDC's National Institute for Occupational Safety and Health used data from the June 2020 SummerStyles survey to characterize required and voluntary use of COVID-19-related occupational hazard controls among U.S. non-health care workers. A survey-weighted regression model was used to estimate the association between employer provision of hazard controls and voluntary use, and stratum-specific adjusted risk differences (aRDs) among workers reporting household incomes <250% and ≥250% of national poverty thresholds were estimated to assess effect modification by income. Approximately one half (45.6%; 95% confidence interval [CI] = 41.0%-50.3%) of non-health care workers reported use of hazard controls in the workplace, 55.5% (95% CI = 48.8%-62.2%) of whom reported employer requirements to use them. After adjustment for occupational group and proximity to others at work, voluntary use was approximately double, or 22.3 absolute percentage points higher, among workers who were provided hazard controls than among those who were not. This effect was more apparent among lower-income (aRD = 31.0%) than among higher-income workers (aRD = 16.3%). Employers can help protect workers from COVID-19 by requiring and encouraging use of occupational hazard controls and providing hazard controls to employees (1).


Subject(s)
COVID-19/prevention & control , Mandatory Programs/statistics & numerical data , Occupational Diseases/prevention & control , Occupational Health/statistics & numerical data , Voluntary Programs/statistics & numerical data , Adolescent , Adult , Architectural Accessibility/statistics & numerical data , COVID-19/epidemiology , Female , Humans , Male , Masks/statistics & numerical data , Middle Aged , Personal Protective Equipment/statistics & numerical data , Surveys and Questionnaires , United States/epidemiology , Workplace/statistics & numerical data , Young Adult
5.
MMWR Morb Mortal Wkly Rep ; 69(27): 853-858, 2020 Jul 10.
Article in English | MEDLINE | ID: covidwho-639430

ABSTRACT

During a pandemic, syndromic methods for monitoring illness outside of health care settings, such as tracking absenteeism trends in schools and workplaces, can be useful adjuncts to conventional disease reporting (1,2). Each month, CDC's National Institute for Occupational Safety and Health (NIOSH) monitors the prevalence of health-related workplace absenteeism among currently employed full-time workers in the United States, overall and by demographic and occupational subgroups, using data from the Current Population Survey (CPS).* This report describes trends in absenteeism during October 2019-April 2020, including March and April 2020, the period of rapidly accelerating transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19). Overall, the prevalence of health-related workplace absenteeism in March and April 2020 were similar to their 5-year baselines. However, compared with occupation-specific baselines, absenteeism among workers in several occupational groups that define or contain essential critical infrastructure workforce† categories was significantly higher than expected in April. Significant increases in absenteeism were observed in personal care and service§ (includes child care workers and personal care aides); healthcare support¶; and production** (includes meat, poultry, and fish processing workers). Although health-related workplace absenteeism remained relatively unchanged or decreased in other groups, the increase in absenteeism among workers in occupational groups less able to avoid exposure to SARS-CoV-2 (3) highlights the potential impact of COVID-19 on the essential critical infrastructure workforce because of the risks and concerns of occupational transmission of SARS-CoV-2. More widespread and complete collection of occupational data in COVID-19 surveillance is required to fully understand workers' occupational risks and inform intervention strategies. Employers should follow available recommendations to protect workers' health.


Subject(s)
Absenteeism , Coronavirus Infections/epidemiology , Occupations/statistics & numerical data , Pandemics , Pneumonia, Viral/epidemiology , Sick Leave/statistics & numerical data , Adolescent , Adult , COVID-19 , Female , Humans , Male , United States/epidemiology
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