Occupational injuries in workers from different ethnicities

Mekkodathil, Ahammed; El‐Menyar, Ayman; Al-Thani, Hassan

doi:10.4103/2229-5151.177365

Cited by 45 publications

(33 citation statements)

References 27 publications

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“…Despite extensive and ongoing efforts to reduce occupational incidents, the World Health Organization (WHO) has introduced occupational injuries as a public heath epidemic [1]. Occupational injuries are one the most significant health threats in largescale workplaces [1], and are associated with suffering and loss at individual, community, societal and organizational levels [2]. At the organization level, occupational accidents have a significant negative influence on the financial performance of a company [3].…”

Section: Introductionmentioning

confidence: 99%

Use of Neural Networks to Identify Safety Prevention Priorities in Agro-Manufacturing Operations within Commercial Grain Elevators

2019

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The grain handling industry plays a significant role in U.S. agriculture by storing, distributing, and processing a variety of agricultural commodities. Commercial grain elevators are hazardous agro-manufacturing work environments where workers are prone to severe injuries, due to the nature of the activities and workplace. Safety incidents in agro-manufacturing operations generally arise from a combination of factors, rather than a single cause, therefore, research on occupational incidents must look deeper into identifying the underlying causes, through the application of advanced analyses methods. In occupational safety, it is possible to estimate and predict probability of safety risks through developing artificial neural network predictive models. Due to the significance of safety risk assessment in the design and prioritization of effective prevention measures, this study aimed at classifying and predicting causes of occupational incidents in grain elevator agro-manufacturing operations in the Midwest region of the United States. Workers’ compensation claims data, from 2008 to 2016, were utilized for training multilayer perceptron (MLP) and radial basis function (RBF) neural networks. Both MLP and RBF models could predict the probability of safety risks with a high overall accuracy of 60%, 61%. Based on values of AUC (area under the curve) from the ROC (receiving operating charts), both models predicted the probability of individual safety risks with a high accuracy rate of between 71.5% and 99.2%. In addition, sensitivity analysis showed that nature of injury is the most significant determinant of safety risks probability, along with type of injury. The novelty of this study is the use of the artificial neural network methodology to analyze multi-level causes of occupational incidents as the sources of safety risks in bulk storage facilities. The results confirm that artificial neural networks are useful in safety risk estimation, and identifying the incidents’ risk factors. The implementation of safety measures in grain elevators can help in preventing occupational injuries, saving lives, and reducing the occurrence and severity of such incidents in industrial work environments.

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Section: Introductionmentioning

confidence: 99%

Use of Neural Networks to Identify Safety Prevention Priorities in Agro-Manufacturing Operations within Commercial Grain Elevators

2019

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“…The consequent losses in production and work time amount to nearly 4% of the gross national product even before the 21 st century without any reduction up to date (2,3). Adverse effects of any occupational hazards in medium and large-scale industries would have an effect on many workers who are employed in those (3)(4)(5)(6)(7)(8)(9).…”

Section: Introductionmentioning

confidence: 99%

Occupational hazards in medium and large scale industrial sectors in Sri Lanka – Experience of a developing country

Arnold¹,

Wickrematilake²,

Fernando³

et al. 2019

Preprint

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Objective Occupational hazards is an area where many countries have begun to pay more emphasis as it affects the health of many particularly in developing countries. However, documented literature is scarce in this regard although occupational hazards are common in workplaces. The study was carried out with the objective of describing the physical hazards and control measures adopted in the formal medium and large-scale industrial sector in Sri Lanka. Results Physical hazards detected in the workplaces were; excessive noise (78.3%), poor light (58%), increased temperature (65.2%), and poor ventilation (68.1%). Over 50% of large machinery and 33% of medium-scale machinery were not adequately guarded. Nearly 41% of the machinery were difficult to operate, of them 36.2% had controls in positions which were hard to reach. Of safety measures adopted, only 34.8% had proper demarcation of areas with 28.9% displaying safety signs. Housekeeping was poor in 59.4% and less than 40% had safe storage of raw materials and end products.

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“…The World Health Organization (WHO) recently estimated that 20-50% of the workers are exposed to various hazards at work worldwide, and this proportion is likely to be higher in the developing and newly industrialized counties [ 1 ]. It has been estimated that 960,000 or even more workers get injured and 5,330 die on daily basis because of work-related diseases [ 2 , 3 ]. Moreover, the International Labor Organization (ILO) and sporadic studies reported that the economic costs of work-related diseases and injury are ranging from 1.8% to 6% of GDP [ 3 , 4 ].…”

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confidence: 99%

“…Recent reports revealed that the global incidence rate of fatal occupational injury is 71 per 100,000 workers per year [ 2 ]. The incidence rate decreased progressively in many countries in parallel with the implemented effective safety and preventive interventions.…”

mentioning

confidence: 99%

“…Although the overall fatal occupational injury rates in many countries is decreasing over time, it is still rising among migrants, foreign born and ethnic minority workers, especially in high risk industries [ 2 ]. This is evident from the higher rate of occupational injuries reported among the Hispanic/ Latino workers and foreign born workers in the United States , and migrant workers in the Middle Eastern and European countries [ 2 , 5 - 9 ]. Disproportionate representations of these high risk worker groups in different industries resulted in wide range of occupational injury rates.…”

mentioning

confidence: 99%

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Occupational injuries: Global and local perspectives

El‐Menyar¹,

Mekkodathi

Al-Thani

2016

Nepal J Epidemiology

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Strict law enforcement is required to ensure compliance with safety measures and necessary precautions to avoid health risks at the workplace. There is also a need for multi-agency review of health provision for migrant workers, which should be based on thorough and independent evaluation for the major causes of mortality among migrant construction workers, and identifying key measures to improve health and safety of workers.

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Occupational injuries in workers from different ethnicities

Cited by 45 publications

References 27 publications

Use of Neural Networks to Identify Safety Prevention Priorities in Agro-Manufacturing Operations within Commercial Grain Elevators

Use of Neural Networks to Identify Safety Prevention Priorities in Agro-Manufacturing Operations within Commercial Grain Elevators

Occupational hazards in medium and large scale industrial sectors in Sri Lanka – Experience of a developing country

Occupational injuries: Global and local perspectives

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