Academic journal article Iranian Journal of Public Health

Trends of Mortality of Road Traffic Accidents in Fars Province, Southern Iran, 2004 - 2010

Academic journal article Iranian Journal of Public Health

Trends of Mortality of Road Traffic Accidents in Fars Province, Southern Iran, 2004 - 2010

Article excerpt


Road traffic accidents (RTA) are one of the lead- ing causes of fatality throughout the world (1) im- posing a considerable cost on the countries' econ- omy (2). According to the statistics of WHO, 5.6 million people die in unintentional injuries of whom 65% are victims of RTA (3, 4). Iran, repre- senting 1% of the world population comprises one fortieth of road traffic accidents. The country has 17 million vehicles (approximately one vehicle for every four individuals), a number higher in eastern Mediterranean but lower comparing to industrialized and developed countries(5) which is also annually increasing by 1 to 1.5 million. The figure for fatalities is estimated at an annual rate of 5-6 million per 10000 cars worldwide. However, 35 people die for every 10000 cars in Iran (6, 7). In addition, RTA stands as the most prevalent cause of injury and the second leading cause of death in Iran (8, 9).

Accidents of these kinds can be reduced signifi- cantly through effective planning (10, 11). Yet, despite implementing interventions that target road user behavior such as, greater use of speed cameras and imposing heavier fines and penalties, the annual number of deaths is still on the rise and therefore the epidemiology of RTA need further investigations (12).

Although there have been numerous studies on the road-traffic accidents, the study of trends is limited in Iran. In addition, similar to other prov- inces in Iran, traffic density has been increasing over the recent years and there has been a report on increase in rate of mortality from RTA in Fars Province (13).

This study was conducted to determine the trend of fatalities and its determinants in the province of Fars Province, southern Iran as the most popu- lated province in south of Iran.


Study sample

This cross-sectional study was conducted to inves- tigate the trends in fatalities from 2004 to 2010 in Fars Province. The province of Fars is the largest province in the south of Iran, which has a popula- tion over 4 million people and 2229 kilometers main road from which 569 kilometers is com- prised of highways (13).

The data of mortality resulting from traffic acci- dents was obtained from the Province mortality data (excluding data from Fasa and Jahrom which are not part of Shiraz University of Medical Sci- ences), in which the disease coding system was based on the 3 digit coding of international classifi- cation of diseases 10th revision (ICD 10). For the purpose of this study we included all external caus- es coded as V01 to V99 (14).

In Iran, Deputy of Health in Ministry of Health and Medical Education is responsible for collection of death data. In order to increase the coverage of data, other sources such as reports from national organization for civil registration, cemetery and hospitals are usually cross-checked. In each prov- ince, the corresponding organizations are responsi- ble for providing relevant mortality data (15). In addition, we obtained mortality data from Fars' le- gal medicine organization and by matching with our data we completed the province mortality. While for matching we used name, family name, father's name plus the date of RTA, for doing anal- ysis we deleted all identifiers. This study was ap- proved by Research and Ethics Committee in Shi- raz University of Medical Sciences.

Data Analysis

After collecting the data, they were fed into Mi- crosoft Excel software and then the repeated cas- es were deleted using matching the first, last and father name. Regarding the Fars population, we used census data (2006). We calculated road- traffic mortality rate and we standardized the rate by direct method, using the world standard popu- lation (16).

The data were analyzed using SPSS ver.19 and Ex- cel. To investigate about trends in road-traffic fa- talities, we used linear regression. In order to ex- amine the seasonal, monthly and weekly pattern of deaths related to road-traffic accident we used chi- squared tests. …

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