Transmission of Respiratory Viral Diseases to Health Care Workers: COVID-19 as an Example.

Health care workers (HCWs) can acquire infectious diseases, including coronavirus disease 2019 (COVID-19), from patients. Herein, COVID-19 is used with the source-pathway-receptor framework as an example to assess evidence for the roles of aerosol transmission and indirect contact transmission in viral respiratory infectious diseases. Evidence for both routes is strong for COVID-19 and other respiratory viruses, but aerosol transmission is likely dominant for COVID-19. Key knowledge gaps about transmission processes and control strategies include the distribution of viable virus among respiratory aerosols of different sizes, the mechanisms and efficiency by which virus deposited on the facial mucous membrane moves to infection sites inside the body, and the performance of source controls such as face coverings and aerosol containment devices. To ensure that HCWs are adequately protected from infection, guidelines and regulations must be updated to reflect the evidence that respiratory viruses are transmitted via aerosols.

Creating Shared Perspectives for Worker Well-being: A Community Health-Focused Certificate in Total Worker Health®.

OBJECTIVES: This study aimed to highlight the utility of a new certificate program in Total Worker Health ® (TWH) designed for health professionals in other community health settings (OCHS). METHODS: Stakeholder needs assessment, priority setting, and comparison with existing core competencies in TWH approaches were performed to identify learning objectives and curricular threads in alignment with adult learning principles. Faculty-student pairings were conducted for content and assessment development. RESULTS: A free six-module training course that prepares OCHS professionals to collaborate with occupational safety and health (OSH) professionals. CONCLUSIONS: TWH can be advanced through collaboration between OSH and OCHS professionals. In service of shared ground, OCHS professionals should articulate the influence of work on health, TWH principles, and OSH vocabulary and concepts. Such training is a necessary step toward facilitating groups for the benefit of all work and workers.

A cross-sectional and population-based study from primary care on post-COVID-19 conditions in non-hospitalized patients.

BACKGROUND: Current research on post-COVID-19 conditions (PCC) has focused on hospitalized COVID-19 patients, and often lacks a comparison group. This study assessed the prevalence of PCC in non-hospitalized COVID-19 primary care patients compared to primary care patients not diagnosed with COVID-19. METHODS: This cross-sectional, population-based study (n = 2539) analyzed and compared the prevalence of PCC in patients with a positive COVID-19 test (n = 1410) and patients with a negative COVID-19 test (n = 1129) never hospitalized for COVID-19 related conditions. Participants were identified using electronic health records and completed an electronic questionnaire, available in English and Spanish, including 54 potential post COVID-19 symptoms. Logistic regression was conducted to assess the association of PCC with COVID-19. RESULTS: Post-COVID-19 conditions are prevalent in both groups, and significantly more prevalent in patients with COVID-19. Strong significant differences exist for the twenty most reported conditions, except for anxiety. Common conditions are fatigue (59.5% (COVID-19 positive) vs. 41.3% (COVID-19 negative); OR 2.15 [1.79-2.60]), difficulty sleeping (52.1% (positive) vs. 41.9% (negative); OR 1.42 [1.18-1.71]) and concentration problems (50.6% (positive) vs 28.5% (negative); OR 2.64 [2.17-3.22]). Similar disparities in prevalence are also observed after comparing two groups (positive vs. negative) by age, sex, time since testing, and race/ethnicity. CONCLUSIONS: PCC is highly prevalent in non-hospitalized COVID-19 patients in primary care. However, it is important to note that PCC strongly overlaps with common health symptoms seen in primary care, including fatigue, difficulty sleeping, and headaches, which makes the diagnosis of PCC in primary care even more challenging.

Research on post-COVID-19 conditions (PCC), also known as Long COVID, has often involved hospitalized COVID-19 patients. However, many patients with COVID-19 were not hospitalized, therefore how commonly the condition affects individuals attending primary care services is not accounted for. Here, we assessed non-hospitalized primary care patients with and without COVID-19. Our results demonstrate that PCC is highly common among primary care patients with COVID-19 and often presents as fatigue, difficulty sleeping, and concentration problems. As these symptoms overlap with other non-COVID-related conditions, it is challenging to accurately diagnose PCC. This calls for improved diagnostics and management of PCC in primary care settings, which is often the first point of contact with the healthcare systems for many patients.

Aerosol Measurement Degradation in Low-Cost Particle Sensors Using Laboratory Calibration and Field Validation.

Increasing concern over air pollution has led to the development of low-cost sensors suitable for wide-scale deployment and use by citizen scientists. This project investigated the AirU low-cost particle sensor using two methods: (1) a comparison of pre- and post-deployment calibration equations for 24 devices following use in a field study, and (2) an in-home comparison between 3 AirUs and a reference instrument, the GRIMM 1.109. While differences (and therefore some sensor degradation) were found in the pre- and post-calibration equation comparison, absolute value changes were small and unlikely to affect the quality of results. Comparison tests found that while the AirU did tend to underestimate minimum and overestimate maximum concentrations of particulate matter, ~88% of results fell within ±1 µg/m3 of the GRIMM. While these tests confirm that low-cost sensors such as the AirU do experience some sensor degradation over multiple months of use, they remain a valuable tool for exposure assessment studies. Further work is needed to examine AirU performance in different environments for a comprehensive survey of capability, as well as to determine the source of sensor degradation.

Indoor Air Quality Issues for Rocky Mountain West Tribes.

Native American populations face considerable health disparities, especially among those who live on reservations, where access to healthcare, education, and safe housing can be limited. Previous research on tribal housing has raised concerns about housing construction, damage, and possible linkage to adverse health effects (e.g., asthma). This community-based participatory research (CBPR) project investigated indoor air quality issues on two Rocky Mountain west reservations. At the onset of the project, the research team formed a partnership with community advisory boards (CABs) consisting of representatives from tribal councils and community members. Research design, implementation, and dissemination all took place in full collaboration with the CABs following approval through official tribal resolutions. Residential homes were monitored for particulate matter with diameter <2.5 microns (PM2.5) and radon concentrations. Low-cost air quality sensors and activated charcoal radon test kits were placed in tribal households for 6-8 days. A large amount of data were below the sensor limit of quantification (LOQ), but several homes had daily averages that exceeded suggested PM2.5 guidelines, suggestive of the potential for high exposure. Additionally, nearly half of all homes sampled had radon levels above the EPA action level, with mitigation activities initiated for the most concerning homes. Findings from this study indicate the need for future community-wide assessments to determine the magnitude and patterns of indoor air quality issues.