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Epidemiological Study On Railroad Injury

Posted on:2004-08-16Degree:MasterType:Thesis
Country:ChinaCandidate:J MaFull Text:PDF
GTID:2144360092991186Subject:Epidemiology and Health Statistics
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ObjectiveThe paper studied the empidemiological status and risk factors of railroad injury, found out the knowledge, attitude and practice of railroad injury in public, evaluated the loss and burden of injury. The aim of this study is to supply the prevention of railroad injury.MethodsThe data were from report forms and survey. Combining descriptive epidemiology with mathematical model, we conducted the study on the status, causes and risk factors for railroad injury, provided the education mode of railroad security and put forward to preventive strategies and suggestions of railroad injury.Results1. The epidemic features of train accidents:1.1 There were 317 train accidents from 1990 to 2000 in China, and fatal accidents were 288, great ones 29. The trend of accidents was declining in these 11 years. Time distribution was: Circular distribution of month showed that there was a mean direction in population, mean angle a=202.63, equal to July 23, standard deviaton s=110.28, equal to April 20. The accidents cause in months showed that natural disaster in July was more than in other months( x 2=13.42, P=0.000), breach of duty in April was more than in other months( x 2=10.85,P=0.001).1.2 The main sites of accidents were along the railway line (189,59.62%) and railway stations (101,31.86%).1.3 The main responsible people were engine drivers (43,37.72%), track maintenance workers (27,23.68%) and non-railway-people (18,15.79%).1.4 The main causes of accidents were breach of duty (19.87%), against rules and regulations (18.61%), facility failure (17.67%) and natural disaster (9.78%).1.5 The most kinds of trains of accidents were freight train 212(66.9%), passenger train 80(25.2%), and dispatchtrain 11(3.5%).2. The epidemic features and risk factors of grade crossing accidents:2.1 There were 1017 grade crossing accidents from 1963 to 2002 in the two provincesof Guangdong and Hunan, 583 were avoided and 434 were knocked into trains. The trend of accidents from 1963 to 1980 was ascending notably, and the trend from 1994 to 2002 was declining. Time distribution was: Circular distribution of 24 hours showed that there was a mean direction in population, mean angle a=210.95, equal to 3.81 past 14, standard deviaton s=91.99, equal to 7.96 past 6.2.2 The main sites of accidents were major line crossings (349,84.92%), busy main lines (206,52.96%) and the track maintenance depot in Guangzhou (262,25.76%).2.3 The main responsible people were motor drivers (56.09%), trespassers (14.21%) and track maintenance workers (13.20%).2.4 The main causes of accidents were motor speedily crossing tracks (307,31.4%), motor dying out (211,21.64%), and motor failure (129,13.23%).2.5 The risk factors of grade crossings were related with four factors which were line types, accident types, accident motor types and guard types.3. The knowledge, attitude and practice of railroad injury in public were related with sex, type of work, family members, frequence of taking train, and whether or not meeting such injuries before.Conclusions1. The trend of train accidents from 1990 to 2000 was descending. Facility failure causing accidents was degressive, natural disaster had waves every 2 to 3 years. Accidents were concentrated to July. More accidents happened on the Beijing -- Guangzhou line. Freight trains and passenger trains were the most.2. The trend of grade crossing accidents from 1963 to 1980 in two provinces of Guangdong and Hunan was ascending, and from 1994 to 2002 was descending. Grade crossing accidents were concentrated to 2 o'clock in the afternoon and Wednesday to Thursday. More accidents happended on the grade crossings which were main roads in cities also. More grade crossing accidents happened on the Beijing -- Guangzhou line.3. The risk causes of train accidents were related to workers in locomotive maintenance and track maintenance, freight and passenger transport trains, along the railway lines.4. The risk causes of grade crossings were shown that...
Keywords/Search Tags:Railroad injury, Risk factors, Burden of disease, logistic regression analysis, Canonical correlation, Circular distribution, Optimal scaling regression
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