Iranian Journal of health, Safety and environment
Volume:4 Issue: 2, Spring 2017

Forecasting changes in level of the reservoir are important in Construction, design and estimate the volume of reservoirs and also in managing of supplying water. In this study, we have used different models such as Artificial Neutral Network (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS) and Cuckoo Optimization Algorithm (COA) for forecasting fluctuations in water level of Chahnimeh reservoirs in south-east of Iran. For this purpose, we applied three most important variables in water levels of the reservoir including evaporation, wind speed and daily temperature average to prepare the best entering variables for models. In addition, none accuracy of error in estimation of hydrologic variables and none assurance of exiting models are the result of their sensitivity to the educational complex for teaching of models and also preliminary decoration before beginning general education has been estimated. After comparing exiting and confidence interval of the ANN and ANFIS has been found that the result of ANFIS model is better described than other model because it was more accurate and does have lesser assurance.

Construction workers experience a high risk of developing musculoskeletal disorders due to the nature of their jobs. This article aimed to evaluate the risk factors of musculoskeletal disorders among construction workers using Posture, Activity Tools and Handling (PATH). This is a sectional, descriptive-analytical study in a construction site in Tehran, Iran. Certain factors were identified namely body posture, weight of carried tools and objects, activities and tools, and their tasks and activities using PATH.
PATH sheets were coded for a certain job. Descriptive data and Chi-square test were employed to analyze the data using SPSS.19. Identification and evaluation were performed in three most important stages of construction: foundation, carcass, finishing (elaborate work). The mean age was 33.08±8.97. Body posture included gentle bending posture (21.2%), severe bending (8.2%), bending and twisting (7% and 1.9%, respectively). Body positions, feet, hands, and weight of tools and objects were significantly different in the working stages (P

We investigated fungal contamination near different waste dumping sites and assessed the health risk factors of rag pickers associated with collection of waste in Gwalior during the year 2014-15. Petri plates were exposed at waste dumping sites and were transferred to the laboratory, analysis and identification was mainly carried out by culturing the fungal colonies by following standard procedures. A pretested questionnaire was used to evaluate the health problems among the rag pickers. Results indicated that all the dumping sites are contaminated with different types of fungal pathogens like Alternaria alternate, Aspergillus flavus, A. fumigates, A. niger, Cladosporium, Fusarium, Mucor, Penicillium and Rhizopus. Our study reported higher incidence of musculoskeletal and respiratory diseases among rag pickers. There is also strong need for carrying out similar assessment studies for other cities too. This will entail generation of more precise site specific information regarding fungal species and associated health risk factor.

Zoonotic diseases present an ongoing public health concern. Most human infections with zoonoses come from livestock, including pigs, chickens, cattle, goats, sheep and camels. Butchers constitute the high risk group in the transmission of zoonotic diseases. The educational status and awareness regarding the information, identification and transmission of zoonotic diseases among this high risk group, is critical in controlling the spread of zoonotic diseases. Hence, a study has been designed to evaluate the educational status, awareness among the butchers regarding the various zoonotic diseases and their modes of transmission and the effluent treatment methods followed by the butchers in and around Proddatur, Andhra Pradesh. The survey revealed that 86 percent of the butchers had high school education and most of them acquired this profession from their ancestors. 60 percent of the butchers were having awareness regarding the commonly occurring zoonotic diseases, 81 percent of butchers identified the disease by observing the lesions and were familiar with their control. Some of the butchers follow the hygienic practices and majority of them (81.4 %) were interested in attending training programmes pertaining to zoonotic diseases.

Special attention of and oil, gas and petrochemical large corporation in the world to the HSE management system is due to its importance in the designing and development of products, services and processes by considering its health, safety and environment requirements. Staff's perception of the existing job risks has a significant impact on their safe behavior at work. This study was conducted to determine the relationship between safety climate and staff's perception of risk with an awareness level among employees of the HSE management system in an oil refinery in Kermanshah.
The study population was employees in one of the oil refineries in Iran. After designing and questionnaire psychometric assessment of staff knowledge of HSE management system (Cronbach's alpha was 0.9 and its validity was assessed by certified professionals), Loughborough safety climate questionnaire and Flin risk perception questionnaire were used. Data analysis was performed using SPSS V22 software.
Results showed that the relationship between safety climate and awareness level of the HSE management system; also the relationship between safety climate and perception of risk was also getting significant. However, the relationship between perception of risk and awareness level of the HSE management system was not significant.
The results of this study showed a moderate awareness of HSE Management System in refinery workers. In this regard, appropriate and proper management policy should be committed to improving the situation. The results of this study is a profile the situation of safety climate in the refinery, which can be used as an indicator for the development of preventive policies and evaluate the performance of the organization's safety and the results of the safety improvement organization.

The focus of this study is to find out the level of work stress and the major causes of work stress among mat factory workers in Kano - Nigeria. 140 sets of questionnaire were distributed to the mat workers and 121 questionnaires come back to the researchers (response rate: 86.43%). 106 workers were male representing 87.60%. Their average age was 32.52 ±4.50 and average working experience was 10.4±6.4. The data collected were analyzed using Henry Garrett ranking method the results of the study identifies management attitude towards worker (difficult relationships with administrators and/ or coworkers, managerial bullying, harassment, etc.) as one of the major cause of stress among mat factory workers. Others include and not limited to toxic work environment, negative workload, types of hours worked, role conflict, lack of autonomy, career development barriers, and organizational climate. Some of the symptoms of stress shows that feeling tired, depressed and anxious rank first (65.04), experiencing headache and blood pressure rank second (55.70), unable to relax, concentrate and sleep third (54.62), others are distressed and irritable 951.64), low back pain, Joint & neck pain 951.45), increased absenteeism (42.80), increase alcohol and smoking (42.09), decrease commitment to work (41.12), lastly was the moodiness and feeling lonely 940.36). From the results it shows that mat factory workers in Kano – Nigeria are working under heavy stress.

Musculoskeletal disorders represent a major issue in the military setting. Musculoskeletal disorders and mental disorders (MSD) are a major cause of disability in the working population. Musculoskeletal disorders and premature tiredness caused by work are arisen from incompatible individual work capacity and job demands. Physical and psychology condition may lead to the generation, amplification musculoskeletal disorders. Musculoskeletal disorders and mental health disorders are high in military personnel. The purpose of this study was Assessment Mental Health and musculoskeletal disorders in military personnel. In this cross-sectional study 70 personnel military participated in May 2016. Cornell Questionnaire and Mental health inventory (MHI-28) were used for data gathering. Finally, Statistical analysis was performed using SPSS version 20, descriptive statistics, Pearson correlation test and One Way Anova test. The findings of the current study showed that personnel situation of mental health were in moderate condition (56.01±13.3). Results Cornell Questionnaire showed that the most of musculoskeletal disorders were respectively in the back (46%), shoulder (34%) and wrist (31%). Also Pearson correlation test showed significantly associated between musculoskeletal disorders and mental health (r=0.72) (p-value=0.001). One Way Anova test showed that with increase age (p