Systematic Analysis of the Contributory Factors Related to Major Coach and Bus Accidents in China

The purpose of this study was: (1) to propose a classification system for the contributory factors behind major coach and bus accidents with mass casualties based on the human factor analysis and classification system (HFACS); and (2) to identify the main contributory factors behind accidents and the main indicators of the causal factors. Based on 56 official investigation reports of major coach and bus accidents with more than 10 fatalities, a qualitative content analysis was conducted to develop a modified classification system for the contributory factors behind these accidents, and a gray correlation analysis was conducted to identify the main causative factors and indicators by calculating the correlation degrees. The results showed that the modified classification system for the contributory factors behind major coach and bus accidents can be divided into seven levels: government regulations, the organizational influence of passenger transportation enterprises, unsafe internal operational supervision, preconditions for drivers’ unsafe acts, drivers’ unsafe acts, proximate causes other than the driver’s act, and moderating factors affecting accident severity and probability. The organizational influence of passenger transportation enterprises is the most significant factor affecting the accidents. Thus, passenger transport enterprises must systematically strengthen their responsibility and safety management to prevent accidents. Accident investigations should begin with the accident process to determine the proximate cause as well as the factors that influence the likelihood and severity of the accident

Systematic Analysis of the Contributory Factors Related to Major Coach and Bus Accidents in China

The purpose of this study was: (1) to propose a classification system for the contributory factors behind major coach and bus accidents with mass casualties based on the human factor analysis and classification system (HFACS); and (2) to identify the main contributory factors behind accidents and the main indicators of the causal factors. Based on 56 official investigation reports of major coach and bus accidents with more than 10 fatalities, a qualitative content analysis was conducted to develop a modified classification system for the contributory factors behind these accidents, and a gray correlation analysis was conducted to identify the main causative factors and indicators by calculating the correlation degrees. The results showed that the modified classification system for the contributory factors behind major coach and bus accidents can be divided into seven levels: government regulations, the organizational influence of passenger transportation enterprises, unsafe internal operational supervision, preconditions for drivers’ unsafe acts, drivers’ unsafe acts, proximate causes other than the driver’s act, and moderating factors affecting accident severity and probability. The organizational influence of passenger transportation enterprises is the most significant factor affecting the accidents. Thus, passenger transport enterprises must systematically strengthen their responsibility and safety management to prevent accidents. Accident investigations should begin with the accident process to determine the proximate cause as well as the factors that influence the likelihood and severity of the accident

A Case-control Study of Risk Sources for Severe Fever with Thrombocytopenia Syndrome in Hubei Province, China

Background: Severe fever with thrombocytopenia syndrome (SFTS), an emerging infectious disease caused by a novel bunyavirus, was discovered in rural areas of Central China in 2009. Methods: A case-control study based on hospital data was applied to detect the potential risk sources for SFTS in SFTS-endemic counties in Hubei Province. Cases were defined as hospitalized SFTSV confirmed patients. Controls were randomly selected from non-SFTSV patients in the same hospital ward within 2 weeks of inclusion of the cases, and they were matched by age (+/− 5 years) and gender according to 1:2 matching condition. Results: 68 cases and 136 controls participated in this study. In multivariate analysis, “Contact with cattle tick” was the major risk source (Conditional Logistic Regression OR-MH = 8.62, 95% CI = 1.79-41.51), outdoor activities and working in weeds or hillside fields could increase risk of cattle tick contact and SFTS infection (Conditional Logistic Regression OR-MH = 8.82, 95% CI = 1.69-46.05, P value = 0.01). Conclusion: Our results suggested cattle might be dominant hosts in SFTS-endemic regions in Hubei Province, which provided clues to transmission mechanism of “vectors, host animals, and humans”, thus more effectively preventing and controlling the disease