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Purpose: This paper examines the prevalence of long COVID across different demographic groups in the US and the extent to which workers with impairments associated with long COVID have engaged in pandemic-related remote work. Methods: We use the US Household Pulse Survey to evaluate the proportion of all adults who self-reported to (1) have had long COVID, and (2) have activity limitations due to long COVID. We also use data from the US Current Population Survey to estimate linear probability regressions for the likelihood of pandemic-related remote work among workers with and without disabilities. Results: Findings indicate that women, Hispanic people, sexual and gender minorities, individuals without 4-year college degrees, and people with preexisting disabilities are more likely to have long COVID and to have activity limitations from long COVID. Remote work is a reasonable arrangement for people with such activity limitations and may be an unintentional accommodation for some people who have undisclosed disabilities. However, this study shows that people with disabilities were less likely than people without disabilities to perform pandemic-related remote work. Conclusion: The data suggest this disparity persists because people with disabilities are clustered in jobs that are not amenable to remote work. Employers need to consider other accommodations, especially shorter workdays and flexible scheduling, to hire and retain employees who are struggling with the impacts of long COVID. [ABSTRACT FROM AUTHOR]

Background : Given the stigma of their undocumented status and their high prevalence of workplace injury, understanding the impact of discrimination on Latino day laborers (LDLs) is a critical public health issue. Methods: We surveyed LDLs (N = 149) and assessed their sociodemographics, experiences of and perceived reasons for discrimination, and work-related injury. A logistic regression examined the association between discrimination and injury, adjusting for sociodemographics. Next, Chi-square tests identified perceived reasons for discrimination associated with injury which were then included in a second logistic regression to test their association with injury, adjusting for discrimination and sociodemographics. Results: Participants reported a work-related injury (42%) and experiences of discrimination (81%). Discrimination was associated with injury in the first model (aOR = 2.25, p = 0.049), and discrimination attributed to immigration status was associated with injury in the second model (aOR = 5.04, p = 0.019). Discussion: Injury prevention programs should account for perceived mistreatment to reduce LDL risk for injury at work. [ABSTRACT FROM AUTHOR]