Occupational Safety And Health Administration Research Articles

Optimizing Indoor Air Quality to mitigate Sick Building Syndrome

- In current scenario, where individuals spend the majority of their time indoors, the quality of the indoor air has become increasingly crucial. This research paper investigates the role of optimizing Indoor Air Quality (IAQ) as a proactive strategy for mitigating Sick Building Syndrome (SBS) within built environments. It examines the relationship between indoor air quality (IAQ) and Sick Building Syndrome (SBS) in workplace settings and explores strategies for enhancing IAQ to mitigate SBS symptoms. Indoor air quality (IAQ) significantly impacts human health and well-being, with implications for productivity, comfort, and overall quality of life. To ensure safe and healthy indoor environments, various organizations, including the World Health Organization (WHO), Environmental Protection Agency (EPA), and Occupational Safety and Health Administration (OSHA), have established IAQ standards and guidelines. This research aims to conduct a comprehensive analysis of these standards. Moreover, the multifaceted nature of IAQ management is explored through the inclusion of parameters like radon (Rn), relative humidity (RH), and temperature. These factors not only contribute to indoor air quality but also affect occupants' comfort and well-being. By considering both chemical and environmental factors. Key Words: Indoor air quality, mitigate, policies, Sick building syndrome

Asbestos exposures associated with the use and handling of drilling mud additives.

This paper summarizes historical asbestos exposure data collected during the handling of short-fiber chrysotile asbestos that was used as an additive to drilling fluid in oil and gas exploration. A total of 1171 industrial hygiene (IH) personal and area air samples were collected and analyzed from more than 20 drilling rigs between 1972 and 1985. The dataset consists of 1097 short-term samples (<240min) with more than 80% having sample durations less than 30min. Average airborne fiber concentrations measured during asbestos handling activities ranged from 0.62 f/cc to 3.39 f/cc using phase-contrast microscopy (PCM). An additional 14 samples were considered long-term samples (>240min) and there were 60 samples with no reported sample duration. Eight-hour time-weighted average (8-h TWA) results, calculated using short-term samples, along with long-term samples greater than 240min, did not exceed contemporaneous Occupational Safety and Health Administration (OSHA) permissible exposure limits (PELs). This analysis fills a data gap in the evaluation of asbestos exposures from the use of drilling mud additives (DMAs) that contained chrysotile asbestos.

"Caminando Con Riesgo": perceptions of occupational injury, workplace safety and workers rights among Spanish-speaking hospitalized patients.

Occupational health disparities are well documented among immigrant populations and occupational injury remains a high cause of morbidity and mortality among immigrant populations. There are several factors that contribute to the high prevalence of work-related injury among this population and those without legal status are more likely to experience abusive labor practices that can lead to injury. While the work-related injuries and experiences of Spanish-speaking workers have been explored previously, there is a paucity of literature documenting injury among hospitalized patients. Additionally, there are few documented hospital-based occupational injury prevention programs and no programs that implement workers rights information. The purpose of this study was to further explore the context of work related injuries primarily experienced by Spanish speaking patients and knowledge of their rights in the workplace. This was a semi-structured qualitative interview study with Spanish speaking patients admitted to the hospital for work related injuries. The study team member conducting interviews was bilingual and trained in qualitative methodology. An interview guide was utilized for all interviews and was developed with an immigrant workers rights organization and study team expertise, and factors documented in the literature. Participants were asked about the type and context of the injury sustained, access and perceptions of workplace safety, and knowledge of participants rights as workers. All interviews were conducted in Spanish, recorded, transcribed in Spanish and then translated into English. A codebook was developed and refined iteratively and two independent coders coded all English transcripts using Dedoose. Interviews were conducted until thematic saturation was reached and data was analyzed using a thematic analysis approach. A total of eight interviews were completed. All participants reported working in hazardous conditions that resulted in an injury. Participants expressed a relative acceptance that their workplace environment was dangerous and acknowledged that injuries were common, essentially normalizing the risk of injury. There were varying reports of access to and utilization of safety information and equipment and employer engagement in safety was perceived as a facilitator to safety. Most participants did have some familiarity with Occupational Safety and Health Administration (OSHA) inspections but were not as familiar with OSHA procedures and their rights as workers. We identified several themes related to workplace injury among Spanish speaking patients, many of which raise concerns about access to workplace safety, re-injury and long-term recovery. The context around immigration is particularly important to consider and may lead to unique risk factors for injury, recovery, and re-injury both in the workplace and beyond the workplace, suggesting that perhaps immigration status alone may serve as a predisposition to injury. Thus, it is critical to understand the context around work related injuries in this population considering the tremendous impact of employment on one's health and financial stability. Further research on this topic is warranted, specifically the exploration of multiple intersecting layers of exposure to injury among immigrant populations. Future work should focus on hospital-based strategies for injury prevention and know your rights education tailored to Spanish speaking populations.

Examining the utility of near infrared light as pre-exposure therapy to mitigate temporary noise-induced hearing loss in humans.

This study sought to determine the effect of Occupational Safety and Health Administration (OSHA) compliant noise on auditory health and assess whether pre-noise near infrared (NIR) light therapy can mitigate the effects of noise exposure. Over four visits, participants (n = 30, NCT#: 03834714) with normal hearing completed baseline hearing health assessments followed by exposure to open ear, continuous pink noise at 94 dBA for 15 min. Immediately thereafter, post-noise hearing tests at 3000, 4000, and 6000 Hz and distortion product otoacoustic emissions (DPOAEs) were conducted along with the Modified Rhyme Test (MRT), Masking Level Difference Test (MLD), and Fixed Level Frequency Tests (FLFT) [collectively referred to as the Central and Peripheral Auditory Test Battery (CPATB)] to acquire baseline noise sensitivity profiles. Participants were then randomized to either Active or Sham NIR light therapy for 30 min binaurally to conclude Visit 1. Visit 2 (≥24 and ≤ 48 h from Visit 1) began with an additional 30-min session of Active NIR light therapy or Sham followed by repeat CPATB testing and noise exposure. Post-noise testing was again conducted immediately after noise exposure to assess the effect of NIR light therapy. The remaining visits were conducted following ≥2 weeks of noise rest in a cross-over design (i.e., those who had received Active NIR light therapy in Visits 1 and 2 received Sham therapy in Visits 3 and 4). Recovery hearing tests and DPOAEs were completed at the end of each visit. Participants experienced temporary threshold shifts (TTS) immediately following noise exposure, with a mean shift of 6.79 dB HL (±6.25), 10.61 dB HL (±6.89), and 7.30 dB HL (±7.25) at 3000, 4000, and 6000 Hz, respectively, though all thresholds returned to baseline at 3000, 4000, and 6000 Hz within 75 min of noise exposure. Paradoxically, Active NIR light therapy threshold shifts were statistically higher than Sham therapy at 3000 Hz (p = 0.04), but no other differences were observed at the other frequencies tested. An age sub-analysis demonstrated that TTS among younger adults were generally larger in the Sham therapy group versus Active therapy, though this was not statistically different. There were no differences in CPATB test results across Active or Sham groups. Finally, we observed no changes in auditory function or central processing following noise exposure, suggestive of healthy and resilient inner ears. In this study, locally administered NIR prior to noise exposure did not induce a significant protective effect in mitigating noise-induced TTS. Further exploration is needed to implement effective dosage and administration for this promising otoprotective therapy.

A critique of Occupational Safety and Health Administration's halfmask respirator assigned protection factor.

Halfmask air-purifying respirators are used by millions of workers to reduce inhaling air contaminants, both chemical (e.g., asbestos, styrene) and biological (e.g., SARS-CoV-2, Mycobacterium tuberculosis). In 2006, the federal Occupational Safety and Health Administration (OSHA) promulgated a standard that gave halfmask respirators an assigned protection factor (APF) of 10. This signified that OSHA assumes a fit-tested and trained wearer will experience a 10% maximum total inward leakage of contaminated air into the facepiece. To derive APF = 10, OSHA analyzed data from 16 workplace studies of the efficacy of halfmask respirators worn against particulate contaminants. In this commentary, I contend that, in considering the data, OSHA made several errors that overstated halfmask respirator efficacy. The errors were (i) failing to properly account for within-wearer and between-wearer variability in respirator efficacy; (ii) ignoring the effect of particle deposition in the respiratory tract; (iii) aggregating unbalanced data within and between studies, and effectively double-counting the data in some studies; and (iv) ignoring the effect that particle size exerts in penetrating respirator facepiece leak paths. The net result is that OSHA's APF = 10 can lead to excessive toxicant exposure for many workers.

Hydrogen sulfide chemiresistive sensor based on swift heavy ion irradiated cerium-based metal–organic framework/graphene oxide composite

Herein, we report ultrahigh sensitive and selective hydrogen sulfide (H2S) chemiresistive sensor using SHI irradiated cerium-based metal–organic framework (MOF)/graphene oxide composite (Ce-BTC/GO). The solvothermal synthesized Ce-BTC/GO coated on an indium tin oxide (ITO) electrode, irradiated by the 100 MeV Au+ ion at the fluence rate 5 × 1010 ions/s, 5 × 1011 ions/s and 5 × 1012 ions/s has been tested for chemiresistive sensing of H2S. As irradiated, Ce-BTC/GO was multi-parametrically tested for XRD, FE-SEM, FTIR spectroscopy, Raman spectroscopy and I-V characteristics for its structural, morphological, spectroscopic and electrical characteristics. The result reveals that the irradiation treatment greatly affects the electric characteristics of the GO, achieving dramatic conductivity modulation in the presence of H2S gas, it also creates the surface sites for the H2S absorption and hence shows excellent real-time sensing performance below the maximum residue limit established by OSHA (Occupational Safety and Health Administration). SHI irradiated Ce-BTC/GO sensor also shows excellent response/recovery time, ultrahigh reproducibility, good repeatability and stability at room temperature. The sensor allows the detection of H2S with a sensitivity of 54.70% in a concentration range of 10–100 ppm with a limit of detection 10 ppm.

Revolutionizing construction safety: introducing a cutting-edge virtual reality interactive system for training US construction workers to mitigate fall hazards

The construction industry is fraught with hazards, chief among them being the risk of falls from elevated positions, which are a leading cause of both fatalities and injuries among workers. Despite the prevalence of traditional safety training methods, their effectiveness in reducing fall risks remains limited. To solve this issue, this study proposes the adoption of interactive VR technologies to provide construction workers with immersive training experiences in the critical domain of fall safety. This approach not only ensures adherence to the Occupational Safety and Health Administration (OSHA) requirements but also leverages VR’s immersive capabilities to create a comprehensive and effective learning tool. To evaluate the proposed system’s efficacy, the researchers conducted an empirical assessment involving eighty-two construction workers from two small enterprises. Participants were divided into two groups: one receiving traditional training and the other undergoing VR-based instruction. Both groups underwent pre- and post-training evaluations comprising six targeted questions designed to measure the impact of each training method on their understanding and awareness of fall safety practices. The comparative analysis revealed no significant differences in baseline knowledge between the two groups prior to the training interventions. However, post-training evaluations demonstrated a notable improvement in the VR group, with a significant decrease in the number of incorrect responses, in stark contrast to the group subjected to traditional training methods. Statistical analysis further confirmed the superiority of VR training in enhancing participants’ knowledge. This was quantified by a p-value of 0.0016, indicating a high level of statistical significance well below the conventional threshold of 0.05. This study highlights the significant advantages of VR technology in construction safety training, demonstrating its superiority over traditional training methods in terms of knowledge retention and practical application. The results strongly support the wider adoption of VR in safety training, indicating its potential to enhance safety outcomes in the construction sector.

Severity Analysis for Occupational Heat-related Injury Using the Multinomial Logit Model

BackgroundWorkers are often exposed to hazardous heat due to their work environment, leading to various injuries. As a result of climate change, heat-related injuries (HRIs) are becoming more problematic. This study aims to identify critical contributing factors to the severity of occupational HRIs. MethodsThis study analyzed historical injury reports from the Occupational Safety and Health Administration (OSHA). Contributing factors to the severity of HRIs were identified using text mining and model-free machine learning methods. The Multinomial Logit Model (MNL) was applied to explore the relationship between impact factors and the severity of HRIs. ResultsThe results indicated a higher risk of fatal HRIs among middle-aged, older, and male workers, particularly in the construction, service, manufacturing, and agriculture industries. In addition, a higher heat index, collapses, heart attacks, and fall accidents increased the severity of HRIs, while symptoms such as dehydration, dizziness, cramps, faintness, and vomiting reduced the likelihood of fatal HRIs. ConclusionsThe severity of HRIs was significantly influenced by factors like workers’ age, gender, industry type, heat index , symptoms, and secondary injuries. The findings underscore the need for tailored preventive strategies and training across different worker groups to mitigate HRIs risks.

A comparison of neck and shoulder postures in symptomatic and asymptomatic female office workers in the actual work environment

ObjectiveThe present study aimed to compare the static and dynamic sitting posture during computer work among symptomatic and asymptomatic office workers in actual work environment. MethodsSeventy female office workers were divided into two groups: asymptomatic (n = 35) and symptomatic (n = 35). Subsequent to this classification, adjustments to their respective workstations were implemented in accordance with Occupational Safety and Health Administration (OSHA) guidelines. The assessment of neck (CV) and shoulder (FS) angles were conducted during both a typical seated posture and at intervals of 20 min over a duration of 3 h of computer work. ResultThe asymptomatic group had a range of age from 26 to 40 years, a BMI of 21.11 ± 2.14, and a working experience ranged from 1 to 16 years. In contrast, the symptomatic group had an age range from 24 to 40 years, a BMI of 21.12 ± 2.27, and a working experience ranged from 3 to 16 years. During static sitting posture, significant differences were observed in both CV (p = 0.01) and FS angles (p = 0.00) between the two groups. Additionally, during computer work sessions lasting for 3 h, a significant time effect (p = 0.00) was noted for the CV angle. Furthermore, the FS angle exhibited significant group (p = 0.00), time (p = 0.00), and interaction (p = 0.00) effects during work. ConclusionThis study underscores the development of neck flexion during prolong working in both groups. In addition, asymptomatic group experienced a progression more rounded shoulder during a 3-h working period. Prolonged periods of sitting and computer use appear to have adverse effects on neck and shoulder health, underlining the importance of implementing measures to mitigate these effects.

Working With the Strategy Master-Dr Michael Silverstein MD, MPH [1945-2024

New Solutions offers a short memorial statement noting the January 2, 2024, death of Dr Michael Silverstein, an internationally known leader in the field of occupational health and safety. Dr Silverstein spent 53 years specializing in the fields of occupational medicine, public health, and general preventive medicine. He was the Assistant Director for Occupational Health and Safety with the United Automobile Workers Union for 15 years. He served as the Director of Policy for the U.S. Occupational Safety and Health Administration (OSHA) during the Clinton Administration. He later served as Director of the Washington State OSHA program for 10 years and was the Assistant Director for Industrial Safety and Health in the Washington State Department of Labor and Industries. A long-time friend of New Solutions, Dr Silverstein was the journal's first Scientific Solutions editor.

Factors influencing safety behaviours of construction tradesmen

The Occupational Safety and Health Administration (OSHA) observed that 90% of fatalities arise from the familiar ‘fatal four’- falls, electrocutions, stuck-bys and caught –in between. American Industrial Hygiene Association (AIHA) also fingered other four hazards due to exposures on construction jobs not paid attention to yet far more construction workers suffer chronic injuries or illness. These infamous concerns make research findings on factors influencing safety behaviours of construction workers ever relevant and this is the focus of this paper. A total of 117 construction tradesmen out of the 159 sampled within Lagos indicated their degree of agreement with factors capable of influencing construction workers’ safety behaviour on a five-point Likert scale. These were factors adjudged to influence construction workers safety behaviour based on extant literature. The data were analysed using Mean Item Score and Factor Analysis. Construction tradesmen agreed that they are influenced by 25 of the 37 (67.56%) identified factors influencing safety behaviour firms of construction workers. Meanwhile, construction firms’ management commitment to the safety behaviour of tradesmen is the most prominent principal factor. The commitment of the management in developing safety initiatives, training, provision of personal protective equipment, and enforcement of safety rules among others will enhance safety behaviour among construction tradesmen. The study only assessed the opinions of tradesmen in the construction industry in Lagos state. The identified factors might not be generalized to construction professionals. This paper recommends that construction managers make deliberate effort in enhancing good safe behaviour of their tradesmen. This will improve their physical wellbeing, boost construction health and safety in the construction industry and significantly reduce construction fatalities. This paper fulfils a present pertinent need of reducing construction fatalities by focusing on factors influencing the safety behaviour of construction tradesmen.

Comparison and analysis research on occupational exposure limits of coal dust between China and foreign countries

Objective: To study and compare the occupational exposure limits (OELs) of coal dust between China and foreign countries, understand the OEL of coal dust in China, and provide data and basis for revising the OEL of coal dust in China. Methods: In August 2023, by searching the official websites of limits setting institutions in relevant countries and regions at home and abroad, collecting and sorting out the OELs of coal dust issued by 10 limit setting institutions in 6 countries and the background information of the formulation, and conducting specific analysis on the classification, limit level and formulation principles of coal dust OEL in each country/institution. Results: In China and Japan, the total dust and respirable dust of coal dust OEL were established respectively, while in other countries, only the time-weighted average concentration (TWA) of respirable coal dust exposure was established. The TWA prescribed by China's Notional Health Commission, the United States Occupational Safety and Health Administration (OSHA) , the United States Mining Safety and Health Administration (MSHA) and the Australian Safety Work Bureau when the SiO(2) content was less than 5% were 5, 2.4, 2 and 3 mg/m(3) respectively. China GBZ 2.1-2019 sets the limit of 2.5 mg/m(3) for respirable coal dust with SiO(2) content less than 10%. The TWA set by the American Conference of Government Industrial Hygienists (ACGIH) and the South African Department of Mines and Energy (DME) for anthracite coal were 0.4 and 0.8 mg/m(3), respectively, and bituminous coal or lignite were 0.9 and 1.8 mg/m(3), respectively. The respirable coal dust TWA set by the National Institute for Occupational Safety and Health (NIOSH) in the United States was 1 mg/m(3), and the TWA set by the New Zealand Work Safety Authority was 3 mg/m(3). Conclusion: At present, the OEL of coal dust in China is at a relatively loose level, and it is suggested to further explore the possibility of revising coal dust OEL.

Embedded machine learning of IoT streams to promote early detection of unsafe environments

Indoor particulate matter (PM) are small solid and liquid particles present in the air, and its monitoring is one of the key challenges regarding workplace safety because of its impact on human health. To address this issue, the Internet of Things (IoT) paradigm allows the implementation of hyperlocal monitoring systems, typically using traditional cloud architectures, which can be enhanced using edge computing architectures. For this reason, we propose an IoT-Edge-Cloud architecture for a platform which promotes the early detection of unsafe environments through machine learning, composed of a sensing layer that collects all the data, an edge layer that performs the artificial intelligence tasks and a cloud layer orchestrating. This architecture is based on the FogFlow framework and the FIWARE components. Our solution proposes an embedded model that can predict the occurrence of PM values higher than the recommended ones—according to the Occupational Safety and Health Administration (OSHA) indicators—with an 87 % of accuracy and a reduction of latency of 26 %. Our platform is innovative because it is based on the FogFlow framework for edge computing and supported by the Smart Spot device validated in a field test. This step is missing from similar state-of-the-art platforms. Thus, we believe that this work contributes to demonstrating the usefulness of AIoT to monitor workplace safety and make trustable predictions, avoiding risky environments.

Acute occupational inhalation injuries-United States, 2011-2022.

Inhalation injuries due to acute occupational exposures to chemicals are preventable. National surveillance of acute inhalation exposures is limited. This study identified the most common acute inhalation exposure-related incidents by industry sector among US workers. To characterize inhalation-related injuries and their exposures during April 2011-March 2022, state and federal records from the Occupational Safety and Health Administration (OSHA) Occupational Safety and Health Information System (OIS) accident database were analyzed. Industry-specific injury, hospitalization, and fatality rates were calculated. The most frequent acute inhalation incidents investigated by OSHA were caused by inorganic gases (52.9%) such as carbon monoxide (CO) or acids, bases, and oxidizing chemical agents (12.9%) such as anhydrous ammonia. The largest number of fatal and nonfatal injuries were reported in the manufacturing (28.6%) and construction (17.2%) sectors. Workers were affected by acute inhalation exposures in most industries. Using this surveillance, employers can recognize frequently-occurring preventable acute inhalation exposures by industry, such as inorganic gases in the manufacturing sector, and implement prevention measures. Training of workers on exposure characteristics and limits, adverse health effects, and use of protective equipment by exposure agent can prevent inhalation injuries.

Employee investigation and contact tracing program in a pediatric cancer hospital to mitigate the spread of COVID-19 among the workforce, patients, and caregivers.

Case investigations and contact tracing are essential disease control measures used by health departments. Early in the pandemic, they were seen as a key strategy to stop COVID-19 spread. The CDC urged rapid action to scale up and train a large workforce and collaborate across public and private agencies to halt COVID-19 transmission. We developed a program for case investigation and contact tracing that followed CDC and local health guidelines, compliant with the Occupational Safety and Health Administration (OSHA) regulations and tailored to the needs and resources of our institution. Program staff were trained and assessed for competency before joining the program. From March 2020 to May 2021, we performed 838 COVID-19 case investigations, which led to 136 contacts. Most employees reported a known SARS-CoV-2 exposure from the community (n = 435) or household (n = 343). Only seven (5.1%) employees were determined as more likely than not to have SARS-CoV-2 infection related to workplace exposure, and when so, lapses in following the masking recommendations were identified. Between June 2021-February 2022, our program adjusted to the demand of the different waves, particularly omicron, by significantly reducing the amount of data collected. No transmission from employees to patients or caregivers was observed during this period. Prompt implementation of case investigation and contact tracing is possible, and it effectively reduces workplace exposures. This approach can be adapted to suit the specific needs and requirements of various healthcare settings, particularly those serving the most vulnerable patient populations.

Musculoskeletal disorders of fishermen in the artisanal and coastal sector.

The aim of this study was to screen for musculoskeletal disorders (MSD) complaints, to analyse the activity and to identify their risk factors. This cross-sectional epidemiological study involved 903 men aged > 20 years and with a seniority > 2 years. It included a questionnaire and an ergonomic analysis of the activity. The questionnaire included: socio-demographic and occupational characteristics, health status and life habits, stress and items from the Nordic questionnaire. The observation of work situations required video recordings and the use of three methods: Occupational Safety and Health Administration (OSHA), Rapid Upper Limb Assessment (RULA) and the Gesture Tracking and Assessment Tool (Outil de Repérage et d'Évaluation des Gestes: OREGE). The prevalence of MSDs was 61.9%. It was significantly higher among deckhands than among other professionals (65.6% vs 27.4%; p < 0.001) and in seasonal workers than in permanent workers (67.8% vs 43.1%; p < 0.001). A positive correlation was noted between MSDs and daily work duration. Stress was an aggravating factor, whereas leisure activities were protective. The prevalence of MSDs was 40.5% (lower back), 40.4% (wrist/hand joints), 34.6% (neck) and 31.7% (shoulders). The ergonomic analysis of the workstation was performed on a deckhand who unloaded the fish crates out of the hold of a trawler. OSHA score = 12 (normal < 5); significant risk of upper limb MSD. RULA total score = 7 (acceptable between 1 and 2); immediate modification. OREGE scores evaluating effort, repetitiveness and joint positions indicate that the actions were not recommended or to be avoided. The analysis made it possible to evaluate the difficulty of the job and to note a high risk of MSDs requiring ergonomic and organizational improvements.

Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model.

This study introduced a novel approach for predicting occupational injury severity by leveraging deep learning-based text classification techniques to analyze unstructured narratives. Unlike conventional methods that rely on structured data, our approach recognizes the richness of information within injury narrative descriptions with the aim of extracting valuable insights for improved occupational injury severity assessment. Natural language processing (NLP) techniques were harnessed to preprocess the occupational injury narratives obtained from the US Occupational Safety and Health Administration (OSHA) from January 2015 to June 2023. The methodology involved meticulous preprocessing of textual narratives to standardize text and eliminate noise, followed by the innovative integration of Term Frequency-Inverse Document Frequency (TF-IDF) and Global Vector (GloVe) word embeddings for effective text representation. The proposed predictive model adopts a novel Bidirectional Long Short-Term Memory (Bi-LSTM) architecture and is further refined through model optimization, including random search hyperparameters and in-depth feature importance analysis. The optimized Bi-LSTM model has been compared and validated against other machine learning classifiers which are naïve Bayes, support vector machine, random forest, decision trees, and K-nearest neighbor. The proposed optimized Bi-LSTM models' superior predictability, boasted an accuracy of 0.95 for hospitalization and 0.98 for amputation cases with faster model processing times. Interestingly, the feature importance analysis revealed predictive keywords related to the causal factors of occupational injuries thereby providing valuable insights to enhance model interpretability. Our proposed optimized Bi-LSTM model offers safety and health practitioners an effective tool to empower workplace safety proactive measures, thereby contributing to business productivity and sustainability. This study lays the foundation for further exploration of predictive analytics in the occupational safety and health domain.

Forensic Analysis of Lung Cancer from Secondhand Smoke Exposure of a Motel Worker

Background: In July 2018, Ms. PJM, a 50-year-old lifelong nonsmoker, was diagnosed with primary Stage IV lung adenocarcinoma with secondary metastasis to the brain, after being hospitalized for a fall in the motel where she worked, in Los Angeles, California. She had been employed as a maid cleaning rooms in this motel for 20 years, where she was exposed to secondhand and thirdhand tobacco smoke daily. Her death certificate, dated June 2021, declared metastatic lung cancer to be the cause of her death at age 53. Occupational disability and death claims filed by her attorney were contested by her employer. Aims: To conduct a forensic analysis using mathematical modeling to quantify Ms. PJM’s toxic secondhand and thirdhand smoke exposures, in order to estimate her risk of lung cancer from exposure to tobacco combustion products and other potential carcinogenic agents to which she might have been exposed. Methods: A quantitative analysis employing assessment of Hazard, Exposure, Dose, Dose-Response, and Risk plus a Discussion of Uncertainty. It is routinely used by U.S. federal regulatory agencies, including the Occupational Safety and Health Administration (OSHA), and the Environmental Protection Agency (EPA). Results: Ms. PJM’s modeled exposure to fine particulate matter from secondhand smoke ranged from the Hazardous to Significant Harm Levels of the EPA Air Quality Index for fine particles (PM2.5). Her modeled dose of serum cotinine ranged from the 90th to beyond the 95th percentile of nonsmokers’ dose, measured in a statistical sample of the U.S. nonsmoking population. Her estimated risk exceeds OSHA’s Significant Risk of Material Impairment of Health Level by a factor of three. She is estimated to have been exposed to the thirdhand smoke of at least 1.4 million cigarettes outgassing from room surfaces during her 20 years of labor. As for potential confounders, there were no known carcinogens in any of the cleaning agents she used; there is no evidence that she was exposed to asbestos, and she resided in a low-radon area of Los Angeles. Conclusions: As a result of her occupational exposure to secondhand and thirdhand smoke, Ms. PJM lost an estimated 33 years of life expectancy. The State of California has been remiss in failing to extend its workplace smoking ban to hotels and motels, leaving their workstaff at grave risk of the manifold diseases of passive smoking.

Assessing the Risk of Occupational Hazard Using the FMEA Tool Among Hospital Staff at Multispecialty Hospital

Considering the importance of occupational hazard assessment, this study has been performed to identify the risks for employees who especially undergo a major occupational hazard that affects their efficiency and productivity. The study aimed to assess the risk of occupational hazard using Failure Mode and Effect Analysis (FMEA) and strategy to modify the healthcare packages provided by the hospital to the staff. A survey and personal interviews were done at a private multispecialty hospital in Chennai using a descriptive study methodology. The survey included 150 hospital employees from four departments: CSSD (6 participants, covering all available samples), Maintenance (41 participants, chosen at random), Nursing (60 participants, chosen at random), and Housekeeping (43 participants, chosen at random). To collect data, a standardized questionnaire aligned with the Occupational Safety and Health Administration (OSHA) was used (https://www.osha.gov/laws-regs/standardinterpretations/1987-08-06). In addition, unstructured personal interviews with key workers were undertaken. The data revealed that CSSD workers encountered most of the stated dangers, with 100% admitting to workplace risks such as needle sticks, chemical allergies, the risk of burns, and awkward ergonomic postures. Maintenance workers reported a 54% risk of pain and discomfort, 32% of sleep loss following night shifts, and 37% of chemical risks. Nursing personnel cited poor ergonomic posture (68%) as a key concern, followed by sleep loss (62%), and the risk of cuts (52%). Housekeeping personnel cited hazards of falls (69%), poor ergonomic postures (40%), and infectious disease exposure (31%). The study emphasizes the need to address occupational health risks in healthcare settings by thoroughly reviewing the many occupational health hazards that impact healthcare professionals. However, it is important to remember that the study relied on data from the previous six months, potentially leaving out undetected risks. Furthermore, the study emphasized the impact of these dangers on healthcare personnel, emphasizing the problem of events being underreported inside the institution. Notably, the study emphasized the importance of paying close attention to occupational dangers such as needle sticks, chemical exposure, burns and ergonomic concerns in healthcare professionals' daily health management.

Harnessing Virtual Reality to Mitigate Heat-Related Injuries in Construction Projects

The construction industry has witnessed a surge in heat-related accidents alongside rising summertime temperatures, exposing workers to potential injuries. The absence of specific heat stress standards by the Occupational Safety and Health Administration (OSHA) underscores the urgent need for more comprehensive and interactive educational materials to prevent such incidents in construction projects. This study proposes the adoption of an interactive Virtual Reality (VR) application to offer construction workers realistic and effective training, mitigating heat-related injuries. During the training sessions, VR headsets were utilized to immerse workers in two lifelike scenarios: (1) Addressing self-care during heat exhaustion; (2) Assisting a coworker experiencing heat exhaustion. A case study evaluated the effectiveness of the proposed VR training for 82 construction workers from two companies. Company A had traditional training, while Company B used VR training. Both groups took pre- and post-assessment surveys with six questions. The pre-assessment found no significant knowledge difference between the groups. After training, VR showed a significant reduction in incorrect answers compared to traditional training. Statistical tests confirmed the superiority of VR training (p-value = 0.00152 &lt; 0.05), suggesting its effectiveness in preventing heat-related injuries in construction compared to traditional training methods.