Citation

Khammar A, Hosseinighosheh S, Abdolshahi A, Hosseini Ahagh M, Poursadeqiyan M. Iran. J. Public Health 2019; 48(12): 2315-2317.

Affiliation

Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.

Copyright

(Copyright © 2019, Tehran University of Medical Sciences)

DOI

unavailable

PMID

31993408

Abstract

Accidents are main problem of industries such as construction, electrical and other industries, which are led to fatal on non-fatal injuries is cause of accident in (1). However, many workers are exposed to electrical energy during their daily tasks, and some of them are unaware of the potential electrical hazards in the work environment. It is necessary to recognize the potential risk factors for electrical injuries especially fatal ones and to provide useful recommendations for developing effective safety programs to reduce the risk of electrocution (2). Although lots of technical preventive aspects are well known, electric accidents continue to occur (3). Considering the nature of accident data, the time-series model is a useful model in accident investigations. Time-series analyses are utilized in order to forecast future accident data based on past trends (4).

This study was conducted to model the accidents using the time series analysis in an electricity dis- tribution company in Tehran, Iran. In phase one, data related to 2005 to 2012 were collected from the database of the safety department (5). Time Series analysis and Trend analysis were used for analyzing the data and forecasting the accidents up to 2017. The statistical calculations and analysis were performed using Minitab version 14 for time series model to forecast accidents among the workers of this company up to 2017.

Based on the analysis of the accidents in the first 8 years (2005 to 2012) reported in pervious study, 119 accidents were observed and an increasing trend was predicted in the model ...

Language: en