Prediction of time in industrial chemical accidents: A survival analysis.
BACKGROUND: Chemical accidents have imposed casualties and high economic and social consequences to Iranian industries and society. OBJECTIVE: This study investigated the effect of risk factors involved in occurrences of the chemical accidents and predicted the time of occurrences in Iranian chemica...
| Publicado en: | Work Vol. 74; no. 3; pp. 1115 - 1125 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=162674441&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 162674441 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: 2023 vid: 74 iid: 3 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 162674441 160477080 162674441 162674441 10.3233/WOR-211333 162674441 ppf: 1115 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Prediction of time in industrial chemical accidents: A survival analysis. aug: au: Sadeghi, Fatemeh Dehdashti, Alireza Gilani, Neda Fatemi, Farin Alizadeh, Seyed Shamseddin Khoshmanesh, Behnoush affil: Occupational and Environmental Health Center, Health Deputy, Ministry of Health, Tehran, Iran sug: subj: Time Factors Accidents, Occupational Iran Chemical Hazard Release Risk Factors Industry Iran Risk Assessment Human Iran Survival Analysis Cross Sectional Studies Mass Casualty Incidents Organizations Checklists Chemical Safety Staining and Labeling Firefighting Equipment and Supplies Government Standards Descriptive Statistics Comparative Studies Summated Rating Scaling Chi Square Test Data Analysis Software Data Analysis, Statistical Cox Proportional Hazards Model ab: BACKGROUND: Chemical accidents have imposed casualties and high economic and social consequences to Iranian industries and society. OBJECTIVE: This study investigated the effect of risk factors involved in occurrences of the chemical accidents and predicted the time of occurrences in Iranian chemical factories. METHODS: A cross-sectional study was implemented in 574 chemical facilities with more than 25 employees from 2018 to 2020. Collecting data instruments were 2 checklists with 15 and 25 three-point Likert scale questions, respectively. Chi square and Monte Carlo tests assessed the relationships between independent risk factors and dependent hazardous chemical accidents. Cox semi-parametric and log-normal parametric models were used to predict the upcoming time of chemical accidents based on the impacts of risk factors understudy. Data analyses were performed using Stata and R software. RESULTS: The results showed that safety data sheets, labeling, fire extinguishing system, safe chemicals storage, separation, loading, transportation and training were statistically significant with occurrences of the chemical accidents (P-value < 0.05). Loading and transportation were mostly related to chemical incidents and reduced significantly the expected time of chemical events (P-value = 0.028). CONCLUSION: Establishing a comprehensive chemical accidents dataset and strict governmental supervision on chemical safety regulations are suggested to decrease the chemical accidents at regional and local levels in chemical plants. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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