Prevalence, incidence and associated factors of musculoskeletal disorders before and during the Covid-19 pandemic in faculty members: a comparative cross-sectional study.

BACKGROUND: The COVID-19 pandemic has led to the broad acceptance of distance education (DE), with university professors and students conducting the teaching-learning process remotely from their homes. The propose of this study to investigate the prevalence of musculoskeletal disorders (MSDs) before and during the COVID-19 pandemic and identify risk factors associated with DE that may contribute to an increased incidence of these disorders among university professors. METHODS: This cross-sectional analytical study took a comparative approach and involved 310 university professors in Iran. Data were gathered using an online questionnaire. Initially, demographic and occupational information of the professors, hours of physical activity, and hours spent using electronic devices were recorded. Participants were then asked to report MSDs in various body areas throughout the previous year and the previous seven days. Finally, MSDs risk factors such as workstation ergonomics during computer, laptop, smartphone, and tablet use, as well as working postures during online teaching or offline content development during the COVID-19 pandemic, were examined. RESULTS: The majority of the participants were male (66.13%), with a PhD (46.77%) and a faculty member position (74.2%). On average, the use of computers and laptops increased by 2.67 h and 2.72 h, respectively, during the pandemic compared to before the pandemic. This increase was statistically significant (P < 0.001). MSDs incidence increased significantly before and during the COVID pandemic was observed in the areas of the neck, shoulders, lower and upper back, arms, forearms, wrists and fingers (P < 0.05). The highest cumulative incidence (Cin) of MSDs was related to the neck (Cin = 24.20%), upper back (Cin = 21.29%), low back (Cin = 18.06%) and fingers (Cin = 16.13%). The prevalence of MSDs during the COVID pandemic was significantly associated with employment status (P = 0.042), work experience (P = 0.016), age (P = 0.027), increase in the use of computers/ laptops (P < 0.001), decrease of the smartphone/tablet distance from the body (P = 0.047), workstation (smartphone-tablet, computer, laptop) (P < 0.05), head position (smartphone-tablet) (P = 0.029), display height (computer/laptop) (P = 0.045) and physical activity (P = 0.006). CONCLUSIONS: It appears that the increased duration of smartphone, computer, and laptop use, combined with decreased physical activity and detrimental changes in ergonomic conditions of workstations during the quarantine period caused by the COVID-19 pandemic, has resulted in a shift from dynamic to static tasks and an increase in the prevalence and incidence of MSDs among university professors.

Determining performance shaping factors to assess human error in the emergency response team in chemical process industries: a case study.

Objectives. Human error (HE) plays a crucial role in the occurrence of accidents in chemical process industries (CPIs). Emergency response team (ERT) members are predisposed to HEs due to the nature of their work. The HE potential is influenced by the performance shaping factors (PSFs). Managing PSFs can diminish the human error probability (HEP) and consequently increase the emergency response success chance. This article aimed to determine the PSFs for ERT members in CPIs. Methods. First, an initial list of PSFs was searched and classified within human reliability analysis methods and studies. Then, an expert panel of the emergency management system was utilized to identify, classify and weight the initial PSFs. The fuzzy Delphi method and content analysis technique were applied to summarize and categorize the PSFs. Results. The results of the study showed that 11 PSFs had greater impacts on the ERT members' error potential. Findings revealed that stress and physiological stressors, competency, and team and organization were the three most important PSFs. Conclusion. The most important and relevant PSFs can be effectively used in accurate HE assessment of ERT members in CPIs.

Comparison of COD removal from pharmaceutical wastewater by electrocoagulation, photoelectrocoagulation, peroxi-electrocoagulation and peroxi-photoelectrocoagulation processes.

This work makes a comparison between electrocoagulation (EC), photoelectrocoagulation, peroxi-electrocoagulation and peroxi-photoelectrocoagulation processes to investigate the removal of chemical oxygen demand (COD) from pharmaceutical wastewater. The effects of operational parameters such as initial pH, current density, applied voltage, amount of hydrogen peroxide and electrolysis time on COD removal efficiency were investigated and the optimum operating range for each of these operating variables was experimentally determined. In electrocoagulation process, the optimum values of pH and voltage were determined to be 7 and 40 V, respectively. Desired pH and hydrogen peroxide concentration in the Fenton-based processes were found to be 3 and 300 mg/L, respectively. The amounts of COD, pH, electrical conductivity, temperature and total dissolved solids (TDS) were on-line monitored. Results indicated that under the optimum operating range for each process, the COD removal efficiency was in order of peroxi-electrocoagulation > peroxi-photoelectrocoagulation > photoelectrocoagulation>electrocoagulation. Finally, a kinetic study was carried out using the linear pseudo-second-order model and results showed that the pseudo-second-order equation provided the best correlation for the COD removal rate.