Accidents, Traffic ; mortality ; statistics & numerical data ; Humans ; Research

OBJECTIVETo analyze and summarize the secular trend and influencing factors of road traffic injuries(RTI) in China, so as to provide evidence for the management of traffic safety.

METHODSIndexes as fatalities per 10,000 vehicles, fatalities per 100,000 population, fatalities per 10,000 kilometers, motorization(number of vehicles per 1000 population) and mortal coefficient were used. Clustering analysis and ranking correlation were used to analyze the relative factors.

RESULTSThe number of casualties of RTI had doubled every decade before the year of 2000. One hundred thousand people were killed in RTI every year since 2000. Facts as: Gross National Product(GNP) of China exceeded 1000 USD in 2002, number of motor vehicles reached 1.3 million in 2005, had both influenced the rates of road traffic fatality, mileage fatality and mortal coefficient which causing them to drop since 2002. In China, RTI happened in the underdeveloped districts in the western part of the country including Tibet, Ningxia, Xinjiang, Qinghai, and in some coastal areas as Zhejiang and Guangdong provinces. Men seemed to be more at risk than women in RTI, and accounted for three-quarters of the victims. Majority of fatalities happened in 21-50 year olds and the fatalities among those over 65 year olds had risen every year. The vulnerable populations in road-user category were pedestrians, passengers, motorcyclists and bicyclists. Under most situations, drivers were responsible for RTI and over half of them were professionals. Bad behaviors were the major causes of RTI, including exceeding the speed limit, handle misfeasance, breaking traffic rules and regulation, having taken alcohol or driving with fatigue etc. Exceeding the speed limit was the most risky factor which causing 75% of the RTI and the traffic deaths increased between 2002 to 2004. A positive correlation was discovered between population fatality rate and the factors as the number of vehicles, volume of road haulage, volume of passengers and the degree of highway etc. with correlation coefficients as r1 = 0.986, r2 = 0.986, r3 = 0.987, r4 = 0.985, P = 0.001, respectively.

CONCLUSIONSince 1951, the population fatality rate of RTI had been going up continuously until it began to fall in 2003.

Accidents, Traffic ; mortality ; statistics & numerical data ; China ; epidemiology ; Female ; Humans ; Male ; Wounds and Injuries ; mortality

OBJECTIVETo make an epidemiological analysis of the effect of environment on extremely severe road traffic crashes (RTCs).

METHODSEpidemiologic data of extremely severe RTCs associated with environmental factors, including weather, topography, road conditions and other traffic conditions in Mainland China during 2000-2001, were collected and analyzed.

RESULTS(1) During 2000-2001, there were 3365 extremely severe RTCs with 13666 deaths, 12204 injuries and a direct economical loss of 136 million RMB. (2) Most extremely severe RTCs occurred in fine weather days and in the daytime. The high occurrence sites were plain areas, horizontal and straight roads, Grade B and C roads, ordinary road segment, and asphalt, smooth and mixed roads. (3) Compared with other RTCs, extremely severe RTCs were more likely to happen under following conditions: on cloudy, snowing, misty and blustering days; in hill and mountainous areas; on crooked and sloping roads; on freeway, Grade A, B, and C roads; mixed roads; ordinary, bridge, narrow and transitional roads; sand and dirt-roads; without traffic control measures; night without lighting. (4) Extremely severe RTCs of mountainous area or crooked and sloping roads were most severe in terms of deaths and injures per crash.

CONCLUSIONSExtremely severe RTCs are closely related with environmental factors. Rational road programming, enhancing road establishment and improving road conditions are probably effective measures to reduce the road traffic injuries.

Accidents, Traffic ; mortality ; statistics & numerical data ; China ; Environment ; Humans ; Retrospective Studies

Accidents, Traffic ; mortality ; prevention & control ; statistics & numerical data ; China ; epidemiology ; Humans ; Prevalence ; Survival Rate

OBJECTIVETo date, there has been little information published on the death of rural road accident deaths. This study uses burden of injury method to explore a more accurate estimate of years of life lost due to road traffic crashes occurring over a four-year period in Guilan province, northern Iran.

METHODSRural road accident deaths from 2009 to 2013 were extracted from Iran's Forensic Medicine System, Death Registry System and Road Trauma Research center database.

RESULTSDuring the study period, the average years of life lost due to motor vehicle crashes was 13.8 per 1 000 persons, ranging from 11.9 during March 2011-2012 to 15.8 per 1 000 persons during March 2012-2013.

CONCLUSIONRoad accident deaths in 2013 remained at the same high level as in 2009. The information obtained from this study provides a new perspective on fatal road traffic crash victims in rural settings and show us that more attention is needed in this area.

Accidents, Traffic ; mortality ; statistics & numerical data ; Humans ; Income ; Iran ; Rural Population

OBJECTIVETo compare fatalities and injuries in road traffic crashes (RTC) in Iran with other countries.

METHODSData were obtained from national health sources of Iran. These data included population number, registered motor-vehicles number, number of RTCs and consequent fatalities and injuries from 1997 to 2006.

RESULTSRTC fatality and injury rates increased from 1997 to 2005, but decreased in 2006. The overall men/women ratio in the RTC fatalities was 4.2:1. High RTC fatality rate of 39 per 100 000 population in Iran was almost the same as some other developing countries. In Iran, RTC fatalities in recent years were almost twice as much as the highest rate among the European countries.

CONCLUSIONSThis investigation shows that in spite of reduction of RTC fatality in Iran in 2006, it is still one of the highest in the world. Moreover, this paper describes the state of RTC-related parameters in a developing country in comparison with the developed countries.

Accidents, Traffic ; statistics & numerical data ; Developed Countries ; Developing Countries ; Female ; Humans ; Iran ; epidemiology ; Male ; Wounds and Injuries ; epidemiology ; mortality

PURPOSE: By studying the economic data related to road traffic accidents in recent 10 years, this paper explores the impact of various economic factors on the number of casualties in traffic accidents in China, and puts forward related prevention and management measures. METHODS: Based on five economic factors including the number of new health institutions, health investment, transportation investment and disposable income per capita, this paper collects the data of traffic accidents in 31 provinces and municipalities of China from 2004 to 2016 and estimates the parameters using fixed effect model. RESULTS: The number of health institutions, health investment, transportation investment and disposable income per capita are negatively correlated with the number of traffic accident casualties; the number of new health institutions is positively correlated with the number of traffic accident casualties; health investment and transportation investment have a great impact on the number of road traffic accident casualties. CONCLUSION Economic development has a positive impact on improving traffic conditions, but the increase in the number of new health institutions does not reduce the number of casualties in accidents. The irrational layout of health institutions and imperfect road traffic management mechanism should be taken into account.
Accidents, Traffic ; mortality ; prevention & control ; statistics & numerical data ; China ; epidemiology ; Economics ; Health ; economics ; Health Facilities ; statistics & numerical data ; Humans ; Income ; Time Factors ; Transportation ; economics ; Wounds and Injuries ; epidemiology

OBJECTIVES: Recently injury has become a major world-wide health problem. But studies in Korea about injuries were very few. Thus, this study was conducted to analyze the trend of major injuries from 1991 to 2006 and to provide basic data for preventing injuries. METHODS: This study was based on the National Statistical Office data from 1991 to 2006 and calculated to estimate the burden of major injuries by using the standard expected years of life lost (SEYLL) and total lost earnings equation. RESULTS: For transport accidents, mortality, SEYLL and total lost earnings were increased from 1991 to 1996 and decreased from 2000 to 2006. On the other hand, for suicides, these were increased gradually. Since 2003, falls were included in ten leading causes of death. This study showed that injury causes major social and economical losses. CONCLUSIONS: We could reduce injury related premature death through active interest in injury prevention program.
Accident Prevention ; Accidental Falls/mortality/statistics & numerical data ; Accidents/*mortality/*statistics & numerical data ; Accidents, Traffic/mortality/statistics & numerical data ; Adolescent ; Adult ; Age Distribution ; Aged ; Aged, 80 and over ; Cause of Death/trends ; Child ; Female ; Humans ; Korea/epidemiology ; Male ; Middle Aged ; Mortality/*trends ; Sex Distribution ; Suicide/trends ; Wounds and Injuries/*epidemiology ; Young Adult

OBJECTIVECurrently, China is in short of thorough and systemic data concerning the patterns and incidence of injuries and related deaths. Guangdong Province as one of the economically advanced areas in China is faced with a relatively serious injury problem, and investigation of this problem in this Province will provide valuable information for other provinces and areas in this Country, as well as scientific basis for policy making for injury prevention and control.

METHODSAnalyses are based on the computerized hospital discharge data collected from 322 hospitals in Guangdong Province between 1997 and 2001. Diagnoses are coded according to the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM).

RESULTSThe total hospitalization rate related with injuries increased year by year from 1997 to 2001. The ratio of case-fatality has a decline trend for all injury inpatients, who were mainly caused by motor vehicle accidents, unintentional falls, puncture and cut by machine and others. The constituent ratio of death among patients caused by motor vehicle accidents accounted for 56.13% among the total deaths, which ranked as the first place. The direct medical cost also had an increased trend.

CONCLUSIONSData on injuries requiring hospitalization can be used to design and target more effective injury prevention programs. Injury prevention would decrease human sufferings, disability, and associated economic losses.

Accidents, Traffic ; statistics & numerical data ; trends ; China ; epidemiology ; Hospital Information Systems ; Hospital Mortality ; Humans ; Incidence ; Inpatients ; Wounds and Injuries ; epidemiology ; etiology ; mortality

PURPOSE: Traffic accidents are one of the main causes of death and disability, causing annual deaths of 1.23 million and tens of millions injured people worldwide. Meanwhile, a significant proportion of the deaths and injuries caused by traffic accidents occur among motorcyclists. According to the world health organization's 2015 report, about 25% of deaths from traffic accidents occur in motorists. In Iran, a significant proportion of deaths and injuries result from traffic accidents among motorcyclists, especially in passages within the cities. According to traffic police, about 25% of deaths and 50% of injuries in traffic accidents of Tehran are reported among motorcyclists. Therefore, due to the importance of this issue, the spatial factors influencing the incidence of motorcycle-related accidents in Tehran were investigated using the geographic information system. METHODS: The present work was a cross-sectional and descriptive analysis study. The data necessary for the study were extracted from Tehran traffic police as well as municipality databases. Zoning maps were used to display the distribution of events. In the analytical investigation, Moran index was used to determine the distribution pattern of the events, while Getis-Ord G * statistics were applied to analyze hot spots. To investigate the role of regional and environmental factors in the frequency of traffic accidents related to motorcyclists in geographic units (Tehran 22 districts), Poisson regression and negative binomial models were used. The geographically weighted regression (GWR) model was used to analyze the relationship between environmental factors and the location of these events. Statistical analyses were performed using SPSS, STATA, ARC-GIS and GWR software. RESULTS: The southern and eastern margins of Tehran are the most vulnerable areas in terms of deaths related to traffic accidents of motorcyclists. Highways are considered the location of most traffic accidents which lead to death of motorcyclists. Getis-Ord General G * (p < 0.04) indicates that the distribution of high-risk points is statistically significant. The final model showed that in Tehran, the association of different variables including demographic characteristics, pathways network and type of land use with the number of accidents in geographic units was statistically significant. The spatial distribution of traffic accidents leading to deaths of motorcyclists in the center of Tehran varies considerably with changes in population density, length of highways, volume of traffic, and land use in different parts. CONCLUSION Most of the traffic accidents leading to deaths of motorcyclists occur in highways. Various environmental variables play a role in determining the distribution pattern of these types of events. Through proper traffic management, controlling environmental risk factors and training people the safety of motorcyclists in Tehran can be improved.
Accidents, Traffic ; prevention & control ; statistics & numerical data ; Automobile Driving ; statistics & numerical data ; Cross-Sectional Studies ; Environment ; Geographic Information Systems ; Geography ; Humans ; Incidence ; Iran ; epidemiology ; Motorcycles ; statistics & numerical data ; Regression Analysis ; Risk Factors ; Wounds and Injuries ; epidemiology ; etiology ; mortality ; prevention & control