# Study of the Injured Persons and the Injury Pattern in Road Traffic Accident in Sana’a City, Yemen

Authors: Abdulhameed Ali Al-Thaifani; Nabil Ahmed Al-Rabeei; Abdulsalam Mohammed Dallak
Journal: Advances in Public Health
 (2016)

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## Abstract

Background.Fatal road traffic accidents constitute a significant public health problem.Aim.The aim of the study was to analyze road traffic accidents in Sana’a city, Yemen, during 2013–2015.Methods.The required information and data of accidents were collected, respectively, from police reported road accident statistics, Sana’a city. 11684 cases of road traffic accidents during period 2013–2015 were studied.Results.840 people were killed and 9760 people were injured in RTAs during 2013–2015 in Sana’a city. The accident rates per 100000 of the population were 234.8 in 2013, 180.3 in 2014, and 92.2 in 2015. Mortality rates per 100000 of the population were 15.17 in 2013, 12.2 in 2014, and 8.9 in 2015. High speed was the single most important factor responsible for accidents, deaths, and injuries accounting for 38.1% of RTAs followed by drivers’ fault accounting for 18.9% of the total RTAs. The most common age group involved was ≥18 years. Males accounted for 83.1% of killed and injured persons. Most frequent victims of road traffic accidents were vehicles motor (48.9%) followed by pedestrians (38.1%). More than half of RTAs occurred on the straight road.Conclusion.RTAs are a major source of public health concern in Sana’a city, Yemen. Preventive measures to reduce the burden of mortality and morbidity due to road accidents should be introduced.


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## Body

## 1. Introduction

Road traffic accidents (RTAs) represent a leading and increasing contributor to regional and global disease burden. Each year nearly 1.3 million people die as a result of a road traffic collision in the world, more than 3500 deaths each day. Moreover, twenty to fifty million more people sustain nonfatal injuries from a collision, and these injuries are an important cause of disability worldwide [1]. RTAs are projected to become the 3rd largest contributor to global disease burden by 2020 [2]. According to the WHO [3] road traffic injuries caused an estimated 1.24 million deaths worldwide in the year 2010, down from 1.26 million in 2000. Half of all road traffic deaths are among pedestrians, cyclists, and motorcyclists, and adults aged between 15 and 44 years account for 59% of deaths. Three out of 4 road deaths are among men. The average rate was 18 per 100,000 people (down from 20.8 in 2000). 92% occurred in low- and middle-income countries, with South-East Asia and Africa having the highest rates in the world due to risk factors such as speed and alcohol, and exacerbated by inadequate enforcement of traffic safety regulations and public health infrastructure [4]. There is marked variation across the world in the way that roads are used and injuries are caused, which have important implications for road safety policy and practice [5]. RTAs are a major source of public health concern in Yemen. RTAs constitute about 12% of the total deaths in the country. It is the fifth major cause of deaths in Yemen [6, 7]. These deaths are largely preventable through the concerted efforts of institutions and civil society and by implementing effective road safety measures. The result of this study shall provide important information on road traffic accidents in Sana’a city, Yemen, which in turn shall contribute to better understanding of the extent of RTA as a critical public health problem.Aim. The aim of the study was to analyze road traffic accidents in Sana’a city, Yemen, during 2013–2015 periods.


## 2. Material and Methods

### 2.1. Study Setting

The study takes place in Sana’a city, capital of Yemen.


### 2.2. Study Design

Retrospective study was administered to analyze road traffic accidents in Sana’a city, Yemen.


### 2.3. Study Population

The study population is all road traffic accidents that occurred in Sana’a city from 2013 to 2015.


### 2.4. Data Collection Tools

The required data of RTAs were collected, respectively, from police reported road accidents statistics, Sana’a secretary traffic police office on a standardized, and closed-ended data collection form. The data collected comprised all of these parameters: characteristics of road accidents (road traffic condition), causes of RTAs, classification of accident (road vehicle accidents type, severity of RTAs: killed and injured persons), injury characteristics, type of road traffic user involved, and age and sex profile of victims.


### 2.5. Data Analysis

Data was entered into SPSS version 18.0 database (SPSS Inc., Chicago, IL). Descriptive statistics (frequency and the percentage) was applied. The accident rate was calculated as follows: number of RTAs per year/total population∗ 100000. Mortality rate was calculated as follows: number of deaths due to RTAs per year/total population ∗ 100000 [8].The injury rate was calculated as follows: number of injuries due to RTAs per year/total population∗ 100000 [8]. Death/accident was calculated as follows: number of deaths due to RTAs/number of RTAs ∗ 1000 [8]. Injury/accident was calculated as follows: number of injuries due to RTA/number of RTAs ∗ 1000. Death/injury was calculated as follows: number of deaths due to RTAs/number of injuries due to RTAs ∗ 1000. Accident/vehicle was calculated as follows: number of RTAs per year/number of registered vehicles per year ∗ 10000 [8].Death/vehicle was calculated as follows: number of deaths due to RTAs per year/number of the registered vehicles per year∗ 10000. Injuries/vehicle were calculated as follows: number of injuries per year/number of registered vehicles per year ∗ 10000. Accident/day was calculated as follows: number of RTAs/360 days. Death/day was calculated as follows: number of deaths/360 days and injury/day was calculated as follows: number of injuries/360 days. Case fatality rate (%) was calculated as follows: number of deaths due to RTAs/number of deaths and injuries ∗ 100 [9]. Accidents severity rate was calculated as follows: number of deaths/number of RTAs per 100 accidents [10].


### 2.6. Ethical Consideration

Prior permission from appropriate authorities was taken for conducting the study that mainly included access to records.


## 2.1. Study Setting

The study takes place in Sana’a city, capital of Yemen.


## 2.2. Study Design

Retrospective study was administered to analyze road traffic accidents in Sana’a city, Yemen.


## 2.3. Study Population

The study population is all road traffic accidents that occurred in Sana’a city from 2013 to 2015.


## 2.4. Data Collection Tools

The required data of RTAs were collected, respectively, from police reported road accidents statistics, Sana’a secretary traffic police office on a standardized, and closed-ended data collection form. The data collected comprised all of these parameters: characteristics of road accidents (road traffic condition), causes of RTAs, classification of accident (road vehicle accidents type, severity of RTAs: killed and injured persons), injury characteristics, type of road traffic user involved, and age and sex profile of victims.


## 2.5. Data Analysis

Data was entered into SPSS version 18.0 database (SPSS Inc., Chicago, IL). Descriptive statistics (frequency and the percentage) was applied. The accident rate was calculated as follows: number of RTAs per year/total population∗ 100000. Mortality rate was calculated as follows: number of deaths due to RTAs per year/total population ∗ 100000 [8].The injury rate was calculated as follows: number of injuries due to RTAs per year/total population∗ 100000 [8]. Death/accident was calculated as follows: number of deaths due to RTAs/number of RTAs ∗ 1000 [8]. Injury/accident was calculated as follows: number of injuries due to RTA/number of RTAs ∗ 1000. Death/injury was calculated as follows: number of deaths due to RTAs/number of injuries due to RTAs ∗ 1000. Accident/vehicle was calculated as follows: number of RTAs per year/number of registered vehicles per year ∗ 10000 [8].Death/vehicle was calculated as follows: number of deaths due to RTAs per year/number of the registered vehicles per year∗ 10000. Injuries/vehicle were calculated as follows: number of injuries per year/number of registered vehicles per year ∗ 10000. Accident/day was calculated as follows: number of RTAs/360 days. Death/day was calculated as follows: number of deaths/360 days and injury/day was calculated as follows: number of injuries/360 days. Case fatality rate (%) was calculated as follows: number of deaths due to RTAs/number of deaths and injuries ∗ 100 [9]. Accidents severity rate was calculated as follows: number of deaths/number of RTAs per 100 accidents [10].


## 2.6. Ethical Consideration

Prior permission from appropriate authorities was taken for conducting the study that mainly included access to records.


## 3. Results

### 3.1. Classification of Road Traffic Accidents

A total of 11684 RTAs occurred during 2013–2015. The majority of the RTAs 11248 (96.3%) were collision accidents with other vehicles or pedestrians or fixed objects and 436 (3.7%) were overturning accidents. Our results showed that, in 2015, 218 people were killed in reported RTAs in Sana’a city, with a lesser number of 67 (30.7%) in 2014 and of 119 (54.5%) in 2013. Furthermore, 2041 people were injured, with a lesser number of 1491 (42.2%) in 2014 and 2146 (51.3%) in 2013 (Table1).Table 1
Road vehicle accidents type and persons killed and injured (N=11684).
Variables 2013 2014 2015 Total Accidents type Overturning accident 182 154 100 436 Collision with other vehicles 2921 2157 970 6048 Collision with pedestrians 1816 1656 985 4457 Collision with fixed objects 299 242 202 743 Severity of RTAs No injury 694 390 0 1084 Persons killed 337 285 218 840 Persons injured 4187 3532 2041 9760


### 3.2. Injury Characteristics

Fracture (47.81%) was the most common type of injury in the victims of RTI, followed by internal hemorrhage (29.5%) and cut wound/laceration (9.62%). Dislocation injury was seen in 5.56 percent of the victims of RTI. Lower limb (42.18%) was the most common site of injury, followed by head (17.93%) and thorax (11.81%) (Table2).Table 2
Distribution of the victims of RTAs according to type and site of injured persons (N=1600).
Injury characteristics Number % Type of injury Fracture 765 47.81 Dislocation 89 5.56 Crush injury 75 4.68 Cut wound/laceration 154 9.62 Blunt injury 45 2.81 Internal hemorrhage 472 29.5 Site of injury Head 287 17.93 Maxillofacial region 76 4.75 Thorax 189 11.81 Abdomen 113 7.06 Upper limb 87 5.43 Lower limb 675 42.18 Spine 30 1.87 Pelvis 143 8.93


### 3.3. Location and Causes of RTAs

With regard to characteristics of street accidents and causes, there were 6488 (55.5%) of the accidents that occurred on the straight road followed by 2912 (24.9%) across the road. Round road, tunnel, and declivity accounted for 1199 (10.3%), 728 (6.2%), and 271 (2.3%), respectively. Other accounted for 8 (0.7%). The analysis of road accidents in terms of causal factors reveals that high speed is the single most important factor responsible for accidents; deaths and injuries accounted for 38.1% (4456 accidents) followed by drivers’ fault accounting for 18.9% (2207 accidents) of total accidents. The fault of the pedestrians and that of the drivers without driving license (inexperience) accounted for a share of 16.6% and 9.2%, respectively, in road accidents. Defects in the motor vehicles caused 5.1% of RTA’s and young children driver represents 2.9% of RTAs. Others factors accounted for 7.5% (Table3).Table 3
Distribution of location and causes of RTAs (N=11684).
Variables 2013 2014 2015 Location of RTAs Straight road 2895 2334 1259 Round road 632 382 185 Cross road 1314 1126 472 Close road 25 0 0 Tunnel 67 124 80 Declivity 252 241 235 Others 13 0 48 Causes of RTAs Young children drivers 194 80 6 High speed 2025 1625 806 Pedestrians’ fault 939 770 235 Drivers’ fault 1013 822 372 Vehicle defect 288 209 94 Inexperience (no driving license) 452 381 240 Others 307 320 251


### 3.4. Types of Road Traffic Users

Of all road traffic casualties during 2013–2015, 48.9% were motor vehicles (car and bus) users, followed by pedestrians 38.3%, and 12.8% were motorcyclists (Figure1).Figure 1
Distribution of persons killed and injured by road user type (N=10600).


### 3.5. Distribution of Killed and Injured Persons by Age and Sex

Distribution of killed and injured persons due to RTAs by age and sex during the year 2013–2015 reveals that the age group ≥18 years accounted for the largest share of 72 percent of total road accident casualties, followed by the age group <18 years with a share of 28 percent. With regard to sex distribution, there were more males than females as accident victims (81.3% in males, 18.7% in females). M/F ratio was 4.6 : 1 (Table4).Table 4
Distribution of persons killed and injured by age and sex (N=10600).
Years <18 years ≥18 years Total Female Male Female Male 2013 301 994 535 2694 4524 2014 259 770 482 2306 3817 2015 156 487 252 1364 2259 Total 716 2251 1269 6364 10600


### 3.6. Indicators of Road Traffic Accidents

The incidence of road accidents per 100000 of population was 234.8 accidents in 2013, 180.3 in 2014, and 92.2 in 2015. Mortality rate due to RTAs per 100000 of population decreased from 15.17 deaths in 2013 to 12.21 in 2014 followed by a sharp decrease to 8.90 in 2015. There has been a onefold decrease in the number of persons injured per 100000 of population from 188.43 in 2013 to 151.33 in 2014 and more than threefold decrease 83.3 in 2015. With regard to the number of persons killed per 1000 accidents, it increased from 64.58 in 2013 to 67.47 in 2014 and to 96.50 in 2015. The number of persons injured per 1000 accidents increased from 802.4 in 2013 to 839.55 in 2014 and to 903.49 in 2015. Regarding accidents per day, 14.3 accidents occurred per day in 2013, 11.5 in 2014, and 6.2 per day in 2015. Similarly there were 0.93 person deaths and 11.47 injured per day in 2013, 0.78 person deaths and 9.68 injured per day in 2014, and 0.60 person deaths and 5.59 injured per day in 2015. The number of accidents per 10000 vehicles has declined from 657.4 accidents in 2013 to about 530 in 2014 and 284.6 in 2015. With regard to the number of persons killed and injured per 10000 vehicles the decline has been dramatic. The number of persons killed per 10000 vehicles has plummeted from 42.5 in 2013 to about 35.9 in 2014 and 27.5 in 2015. Similarly, the number of persons injured per 10000 vehicles has also fallen from about 527.5 in 2013 to 444.99 in 2014 and 257.14 in 2015. The accidents severity rate was 6.45 % in 2013, 6.77 in 2014, and 9.65 in 2015. Case fatality rate was 7.44% in 2013, 7.46% in 2014, and 9.65% in 2015 (Table5).Table 5
Severity indicators of road traffic accidents.
Indicators 2013 2014 2015 Accidents rate 234.8 180.3 92.2 Mortality rate 15.2 12.2 8.9 Injury rate 188.4 151.3 83.3 Death/accidents 64.6 67.5 96.5 Injury/accidents 802.4 839.6 903.5 Death/injury 80.5 80.7 106.8 Accident/day 14.3 11.5 6.2 Death/day 0.93 0.78 0.60 Injury/day 11.47 9.68 5.59 Accident/vehicle 657.4 530.03 284.6 Death/vehicle 42.5 35.9 27.5 Injury/vehicle 527.5 444.9 257.1 Accidents severity rate 6.45 6.77 9.65 Case fatality rate 7.44 7.46 9.65


## 3.1. Classification of Road Traffic Accidents

A total of 11684 RTAs occurred during 2013–2015. The majority of the RTAs 11248 (96.3%) were collision accidents with other vehicles or pedestrians or fixed objects and 436 (3.7%) were overturning accidents. Our results showed that, in 2015, 218 people were killed in reported RTAs in Sana’a city, with a lesser number of 67 (30.7%) in 2014 and of 119 (54.5%) in 2013. Furthermore, 2041 people were injured, with a lesser number of 1491 (42.2%) in 2014 and 2146 (51.3%) in 2013 (Table1).Table 1
Road vehicle accidents type and persons killed and injured (N=11684).
Variables 2013 2014 2015 Total Accidents type Overturning accident 182 154 100 436 Collision with other vehicles 2921 2157 970 6048 Collision with pedestrians 1816 1656 985 4457 Collision with fixed objects 299 242 202 743 Severity of RTAs No injury 694 390 0 1084 Persons killed 337 285 218 840 Persons injured 4187 3532 2041 9760


## 3.2. Injury Characteristics

Fracture (47.81%) was the most common type of injury in the victims of RTI, followed by internal hemorrhage (29.5%) and cut wound/laceration (9.62%). Dislocation injury was seen in 5.56 percent of the victims of RTI. Lower limb (42.18%) was the most common site of injury, followed by head (17.93%) and thorax (11.81%) (Table2).Table 2
Distribution of the victims of RTAs according to type and site of injured persons (N=1600).
Injury characteristics Number % Type of injury Fracture 765 47.81 Dislocation 89 5.56 Crush injury 75 4.68 Cut wound/laceration 154 9.62 Blunt injury 45 2.81 Internal hemorrhage 472 29.5 Site of injury Head 287 17.93 Maxillofacial region 76 4.75 Thorax 189 11.81 Abdomen 113 7.06 Upper limb 87 5.43 Lower limb 675 42.18 Spine 30 1.87 Pelvis 143 8.93


## 3.3. Location and Causes of RTAs

With regard to characteristics of street accidents and causes, there were 6488 (55.5%) of the accidents that occurred on the straight road followed by 2912 (24.9%) across the road. Round road, tunnel, and declivity accounted for 1199 (10.3%), 728 (6.2%), and 271 (2.3%), respectively. Other accounted for 8 (0.7%). The analysis of road accidents in terms of causal factors reveals that high speed is the single most important factor responsible for accidents; deaths and injuries accounted for 38.1% (4456 accidents) followed by drivers’ fault accounting for 18.9% (2207 accidents) of total accidents. The fault of the pedestrians and that of the drivers without driving license (inexperience) accounted for a share of 16.6% and 9.2%, respectively, in road accidents. Defects in the motor vehicles caused 5.1% of RTA’s and young children driver represents 2.9% of RTAs. Others factors accounted for 7.5% (Table3).Table 3
Distribution of location and causes of RTAs (N=11684).
Variables 2013 2014 2015 Location of RTAs Straight road 2895 2334 1259 Round road 632 382 185 Cross road 1314 1126 472 Close road 25 0 0 Tunnel 67 124 80 Declivity 252 241 235 Others 13 0 48 Causes of RTAs Young children drivers 194 80 6 High speed 2025 1625 806 Pedestrians’ fault 939 770 235 Drivers’ fault 1013 822 372 Vehicle defect 288 209 94 Inexperience (no driving license) 452 381 240 Others 307 320 251


## 3.4. Types of Road Traffic Users

Of all road traffic casualties during 2013–2015, 48.9% were motor vehicles (car and bus) users, followed by pedestrians 38.3%, and 12.8% were motorcyclists (Figure1).Figure 1
Distribution of persons killed and injured by road user type (N=10600).


## 3.5. Distribution of Killed and Injured Persons by Age and Sex

Distribution of killed and injured persons due to RTAs by age and sex during the year 2013–2015 reveals that the age group ≥18 years accounted for the largest share of 72 percent of total road accident casualties, followed by the age group <18 years with a share of 28 percent. With regard to sex distribution, there were more males than females as accident victims (81.3% in males, 18.7% in females). M/F ratio was 4.6 : 1 (Table4).Table 4
Distribution of persons killed and injured by age and sex (N=10600).
Years <18 years ≥18 years Total Female Male Female Male 2013 301 994 535 2694 4524 2014 259 770 482 2306 3817 2015 156 487 252 1364 2259 Total 716 2251 1269 6364 10600


## 3.6. Indicators of Road Traffic Accidents

The incidence of road accidents per 100000 of population was 234.8 accidents in 2013, 180.3 in 2014, and 92.2 in 2015. Mortality rate due to RTAs per 100000 of population decreased from 15.17 deaths in 2013 to 12.21 in 2014 followed by a sharp decrease to 8.90 in 2015. There has been a onefold decrease in the number of persons injured per 100000 of population from 188.43 in 2013 to 151.33 in 2014 and more than threefold decrease 83.3 in 2015. With regard to the number of persons killed per 1000 accidents, it increased from 64.58 in 2013 to 67.47 in 2014 and to 96.50 in 2015. The number of persons injured per 1000 accidents increased from 802.4 in 2013 to 839.55 in 2014 and to 903.49 in 2015. Regarding accidents per day, 14.3 accidents occurred per day in 2013, 11.5 in 2014, and 6.2 per day in 2015. Similarly there were 0.93 person deaths and 11.47 injured per day in 2013, 0.78 person deaths and 9.68 injured per day in 2014, and 0.60 person deaths and 5.59 injured per day in 2015. The number of accidents per 10000 vehicles has declined from 657.4 accidents in 2013 to about 530 in 2014 and 284.6 in 2015. With regard to the number of persons killed and injured per 10000 vehicles the decline has been dramatic. The number of persons killed per 10000 vehicles has plummeted from 42.5 in 2013 to about 35.9 in 2014 and 27.5 in 2015. Similarly, the number of persons injured per 10000 vehicles has also fallen from about 527.5 in 2013 to 444.99 in 2014 and 257.14 in 2015. The accidents severity rate was 6.45 % in 2013, 6.77 in 2014, and 9.65 in 2015. Case fatality rate was 7.44% in 2013, 7.46% in 2014, and 9.65% in 2015 (Table5).Table 5
Severity indicators of road traffic accidents.
Indicators 2013 2014 2015 Accidents rate 234.8 180.3 92.2 Mortality rate 15.2 12.2 8.9 Injury rate 188.4 151.3 83.3 Death/accidents 64.6 67.5 96.5 Injury/accidents 802.4 839.6 903.5 Death/injury 80.5 80.7 106.8 Accident/day 14.3 11.5 6.2 Death/day 0.93 0.78 0.60 Injury/day 11.47 9.68 5.59 Accident/vehicle 657.4 530.03 284.6 Death/vehicle 42.5 35.9 27.5 Injury/vehicle 527.5 444.9 257.1 Accidents severity rate 6.45 6.77 9.65 Case fatality rate 7.44 7.46 9.65


## 4. Discussion

This study has some limitations related to the incompleteness of background information on the deceased, inadequate specification, the cause of death, and time of the accident. More people were killed and injured due to RTAs in Sana’a city in 2013 compared to 2014 and 2015. To some extent, the decline in this parameter has been brought about due to the crisis that happened in Yemen in 2014 and 2015 which led to absence of benzene and fewer vehicles movement and that is due to fewer people walking around. The mortality rate for 2013 was 15.17 deaths per 100,000 of population which was higher than reported in Egypt 13.2 and Qatar 14, but lower than reported from Iran 34.1, Iraq 31.5, Sudan 25.1, and Saudi Arabia 24.8 [11].The mortality rate per 100,000 vehicles was 42.5 higher than reported in Bahrain 2.45 [12], in Australia 1.39, and in New Zealand 1.7 [13]. Also it was higher than reported in Canada 1.6, Germany 1.5, USA 1.9, and UK 1.2 [14]. More than half of the RTAs are in the wage earning age group. The loss of the main earning member can be disastrous, leading to falling in income of the household and lower living standards. Our study showed highest incidence of mortality has occurred in the age group of ≥18 years (72%) compared to the age group <18 years (28%). Our findings are in general agreement with those of another worker in the field [15]. Kochar et al. [16] have reported that maximal fatal accidents have occurred in the age group of 31–40 years. Singh and Dhattarwal [15] have observed that the commonest age group involved is 21–30 years (27.3%) followed by 31–40 years (20.6%). Similar findings were also reported from India and Nepal [6, 7, 17]. However, studies of 16–30 years’ and 15–35 years’ age groups were more involved in RTAs [18, 19]. A study from India reported that people of the 3rd decade of age were most commonly involved in RTAs [20].In the present study, proportion of male involved in RTAs was 81.3%. In societies where women’s mobility is traditionally restricted, men may spend substantially more time in moving vehicles than women, and among all groups other than among the small economic elite, men are more likely to own cars than women. Men are also more likely to be employed as drivers and mechanics in cars and trucks, including drivers of long-haul vehicles which may mean spending several days and nights in the vehicle [21]. Yemen’s gender proportion (among RTAs persons) shows a great difference as compared to the statistics from other nations such as Australia with 66% being male [22] or Turkey with 68% [23]. The bias observed towards male involvement in car accidents can be explained by the fact that, in the Yemen society, females tend to participate less in outdoor activities. However, the figure from our study comes near the ratio found in other developing countries such as India with 83% of the victims of RTA’s being men [24] and 86% in Pakistan [25].With regards to road user type, cars and buses have been mostly involved followed by pedestrians and motorcycles. The proportion of cars and buses was 48.9% which falls over the years as more and more vehicle victims are being affected. The findings are in conformity with Singh and Dhattarwal [15]. Our findings are general in agreement with Eke and Frcsed [26] who have observed that cars and buses are commonly involved in the causalities followed by motorcycles. The proportion of pedestrians were 38.1%. Being the second common victims can be explained by the fact that there is a lack of proper footpath and presence of vendors and other commercial installations by the side of the roads. This percentage is much lower when compared to values found in a study of the Middle East (50% pedestrian) [26] and with those of other studies [6, 7, 17, 27], which noted that pedestrians, cyclists, and motorcyclists are the most vulnerable road user constituting 70–80% of all RTAs deaths.The fracture was the most common type of injury in the patients of RTI, followed by internal hemorrhage and cut wound/laceration. Lower limb was the most common site of injury, followed by the head. A similar trend has been demonstrated in other studies [28–30]. This shows that the injury pattern is generally the same following road traffic accidents and this knowledge of injury pattern could be helpful while planning Emergency and Trauma Care Services and also in designing and implementation of safety measures.


## 5. Conclusion

This study has shown the data recorded for road traffic accidents in the past three years in Sana’a city, Yemen. As we have seen, the incidence of RTAs was higher in Sana’a city, Yemen, compared to other countries. Mortality rate was more in 2013 than 2014 and 2015.



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