scholarly journals Spatial analysis of road traffic accident deaths in the state of Paraná, 2007-2016

2021 ◽  
Vol 10 (11) ◽  
pp. e431101119942
Author(s):  
Claudia Schneck ◽  
Elias Teixeira Krainski ◽  
Carlos Eduardo da Rocha Omoto ◽  
Daniel Grabasky Accioly ◽  
Faissal Nemer Hajar ◽  
...  
Keyword(s):  
Relative Risk ◽  
Spatial Analysis ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
International Classification Of Diseases ◽  
The State ◽  
Classification Of Diseases ◽  
Icd 10

Brazil is in fifth place among countries with the highest number of land transport accidents. The state of Paraná, Brazil, was the object of this study which conducted spatial analysis with the aim of identifying areas where this phenomenon occurs more and their time series over a 10-year period. This was an ecological and exploratory observational study covering the period 2007 to 2016 in 39 micro-regions of the state of Paraná. Data of road traffic accident deaths as per the International Classification of Diseases (ICD-10, codes V01 to V89) held on the Mortality Information System, were analyzed. Relative risk rates were calculated and choropleth maps were built. A total of 31,651 deaths from the causes examined were recorded according to municipality of occurrence. The most frequent ICD-10 items found were those involving automobile occupants, motorcyclists, pedestrians and cyclists in road traffic accidents. An overall falling trend was found with effect from 2012. The rate by area did not show pronounced spatial dependence and there was considerable variation, whereby the Cerro Azul micro-region had the lowest relative risk in the period, while in Campo Mourão deaths were around 53.3% above the expected level. The estimated average annual trend for the Curitiba micro-region had the steepest fall in the period, while Campo Mourão had the highest rising trend. The trend analysis indicated places where more robust public policy interventions and enforcement actions need to be reviewed.

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

Alcohol and Fatal Road Traffic Accidents

1982 ◽  
Vol 22 (3) ◽  
pp. 189-194 ◽  
Author(s):  
M. Rufus Crompton
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Blood Alcohol ◽  
Road Traffic Accidents ◽  
Characteristic Distribution ◽  
Road Users ◽  
Blood Alcohol Levels ◽  
Age And Sex

An analysis of 208 cases of immediate death in a road traffic accident in which the blood alcohol was estimated, showed a definite characteristic distribution of varying blood alcohol levels in the various types of road users of differing age and sex.

Regression Analysis of Rural Road Traffic Accidents Causes

2011 ◽  
Vol 97-98 ◽  
pp. 1042-1045 ◽  
Author(s):  
Chuan Jiao Sun ◽  
Ru Yue Bai ◽  
Yuan Yuan Yu
Keyword(s):  
Regression Analysis ◽  
Traffic Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Lower Grade ◽  
The Road ◽  
Rural Road ◽  
Safety Awareness

9238 traffic accidents data are collected in rural road of China. Through the data analysis, the main causes of rural road traffic accident are presented. The external environment, the participant features, road features and accident characteristics are involved. The regression analysis in SPSS is applied to find the relationship between the accident features. Overall, the rural road traffic accident was mainly due to in the rural area there are mass travel mode, lower grade roads, poorer safety awareness of traveler and the road is lack of traffic safety facilities and so on.

scholarly journals Characteristics of Road Traffic Accident Cases Reported in a Tertiary Military Hospital

2020 ◽  
Vol 15 (2) ◽  
pp. 213-217
Author(s):  
Md Moshiur Rahman ◽  
Farzana Zafreen ◽  
Abu Noman Mohammed Mosleh Uddin
Keyword(s):  
Cause Of Death ◽  
Road Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Military Hospital ◽  
Road Traffic Accidents ◽  
Traffic Crashes ◽  
Road Traffic Crashes

Introduction: Road traffic accidents (RTA) are the eighth leading cause of death globally, and the leading cause of death in Bangladesh. The road safety situation in Bangladesh has been deteriorating with increasing number of road accident deaths, largely as direct consequences of rapid growth in population, motorization, urbanization and lack of investment in road safety. Objectives: To describe the injury characteristics of road traffic accidents cases that reported at Combined Military Hospital (CMH), Dhaka. Materials and Methods: This descriptive cross-sectional hospital based study was conducted on all the RTA cases reported to medical inspection room CMH, Dhaka from 01 March to 30 June 2010. A total of 126 RTA victims irrespective of age and sex were included, data were collected by face to face interview using a pre-tested questionnaire. Results: A total of 126 road traffic accident victims both sexes were studied. The majority of the study subjects were men 103 (81.7%) and most of them were in 31-40 years group (27%), Muslims (98.41%) were the majority. In our study regarding educational qualification of RTA victims most of them were SSC qualified (44’4%) and primary level (15.1%). Military services holder (45.2%) was the majority of road traffic crash victims. Bus/Minibus (32.5%) was responsible for the majority of road traffic crashes and motor vehicle passengers (42.9%) were main victims. Laceration & cut injury were (38.1%) and multiple injury (18.3%) were the most common injury. Main roads (49.2%) were the commonest site of the accidents.  Regarding place of occurrence main roads 62 (49.2%) was the most common site and noon 41 (32.5%) was the most common time of occurrence of accidents. Conclusion: Road traffic crashes constitute a major public health problem in our setting and contribute significantly to unacceptably high morbidity and mortality. Urgent preventive measures targeting at reducing the occurrence of road traffic crashes is necessary to reduce the morbidity and mortality resulting from these injuries. Early recognition and prompt treatment of road traffic injuries is essential for optimal patient outcome. JAFMC Bangladesh. Vol 15, No 2 (December) 2019: 213-217

An Empirical Inquiry into Maintenance Work of Auto-Mechanics and its Relative Bearing on Road Traffic Accidents - A Developing Country Case, Ghana

2018 ◽  
Vol 34 ◽  
pp. 139-160
Author(s):  
Aaron Agbenyegah Agbo ◽  
Wen Feng Li ◽  
Lan Bo Zheng ◽  
Charles Atombo
Keyword(s):  
Developing Countries ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Quality Standard ◽  
Mechanical Failure ◽  
Survey Method ◽  
Road Traffic Accidents ◽  
Work Quality

Road traffic accidents are challenges the world is battling in recent times. Majority of increasing road fatalities occurs in developing countries. This study seeks to address part of the issues leading to mechanical failures and road traffic accidents in the developing countries with Ghana as a case study. The study model was validated with the use of a sample collected from 880 mechanics from six regions. The mechanics completed questionnaire measures of perception on used parts, brand new parts, mechanical failure, road accidents and demographic variables. In addition, observation and survey method were also used to collect the data on work quality. The result shows that mechanical failure and road traffic accident correlated positively with used parts and negatively correlated with brand new parts. The study model explained R2 = 0.46 and 0.65 of the variance in mechanical failure and road traffic accident respectively. The independent predictors of mechanical failure were age, gender, experience, perception about used parts and work quality. The predictors of road traffic accident were experience, mechanical failure, perception about brand new parts and work quality. We conclude that the mechanical failure and road traffic accidents could be attributed to non-use of genuine parts, poor work quality standard and poor supervision during and after repairs. Remedial measures addressing these issues could reduce road traffic accident in Ghana.

A study on Private Car Accidents

2021 ◽  
Vol 11 (1) ◽  
pp. 10-24
Author(s):  
Abdulmajeed Alamri ◽  
Tarek M. Esmael ◽  
Sami Fawzy ◽  
Hany Hosny ◽  
Saleh Attawi ◽  
...  
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Economic Losses ◽  
Moving Vehicle ◽  
The Road ◽  
Lost Productivity ◽  
On The Road

In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.

Remarks on patients with traumatic brain injury due to traffic accident related to alcohol comsumption treated in Vietduc hospital after implementing the decree 100

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Nguyen Duc Chinh ◽  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Blood Alcohol Concentration ◽  
Alcohol Concentration ◽  
Hospital Death ◽  
Risk Of Death

Purpose: Traumatic Brain Injury (TBI) is still considered as a leading cause of morbidity and mortality of victims by traffic accident. Despite a fact that many measurements and preventions have been applied, the rate of TBI is remained high. Aim of this study was to investigate treatment process of TBI caused by road traffic accident at Viet Duc Hospital after the Decree 100 which has been issued in Vietnam in early 2020. Materials and method: A retrospective and prospective study has been conducted in Viet Duc Hospital from Dec, 2020 to March, 2021. All the patients with TBI by road traffic accident were enrolled. Severity of TBI was identified by Glasgow Scale (GCS) and BAC (Blood Alcohol Concentration) test taken on arrival. The data was collected from medical record as well as autopsy report and analysed by SPSS.20.0 Results: A total of 150 patients with TBI by road traffic accidents were enrolled, age group from 21 to 60 years old accounted for 64%, male accounted for 86.7%. Associated injuries were maxillofacial lesions 48%, extremities 24.7%, chest accounted for 20%. Severity of TBI with GCS 6 - 8 was the highest rate 52%, from 3 - 5 GCS accounted for 30%. 40% were operated on emergency; BAC was positive 46.7%, of which over from 50 mg/L accounted for 32.6%. The patients with GCS from 6 to 8 were BAC positive accounted for a higher rate than groups with GCS above 9 or below 5. The most common TBI lesions were subarachnoid hemorrhage, subdural hematoma and cerebral edema accounted for 67.3%, 60% and 58% respectively. Overall mortality was 26% including in-hospital death and discharged to die. Conclusions and recommendations: Data from the study has shown that many young men with severe TBI by road traffic accident were BAC positive which can results in the high risk of death and disability. Thus, we highly recommend counterparts should constantly strengthen the propaganda and enforcement measures in order to reduce traffic accidents and TBI patients. Keywords: traffic accidents; injury; brain trauma severity.

scholarly journals Determinants of the Underlying Causes of Mortality during the First Wave of COVID-19 Pandemic in Saudi Arabia: A Descriptive National Study

2021 ◽  
Vol 18 (23) ◽  
pp. 12647
Author(s):  
Abdullah M. Asiri ◽  
Shaker A. Alomary ◽  
Saeed A. Alqahtani ◽  
Izzeldin F. Adam ◽  
Samar A. Amer
Keyword(s):  
Saudi Arabia ◽  
Traffic Accidents ◽  
Road Traffic ◽  
International Classification Of Diseases ◽  
National Study ◽  
Mortality Statistics ◽  
Classification Of Diseases ◽  
Ethical Approval ◽  
Underlying Causes ◽  
Causes Of Deaths

Since the emergence of the COVID-19 pandemic, the mortality statistics are constantly changing globally. Mortality statistics analysis has vital implications to implement evidence-based policy recommendations. This study aims to study the demographic characteristics, patterns, determinants, and the main causes of death during the first half of 2020, in the Kingdom of Saudi Arabia (KSA). Methodology: A retrospective descriptive study targeted all death (29291) registered in 286 private and governmental health settings, from all over KSA. The data was extracted from the ministry of health’s death records after the ethical approval. The International Classification of Diseases (ICD-10) and WHO grouping, were used to classify the underlying causes of deaths. The collected data were analyzed using the appropriate tables and graphs. Results: 7055 (24.9%) died at the middle age (40–59 y), and 19212(65.6%) were males, and 18110 (61.8%) were Saudi. The leading causes of deaths were non-communicable diseases (NCDs) 15340 (62.1%), mainly Cardiovascular diseases (CVDs) 10103(34. 5%). There was a significant relationship between the main causes of deaths and sex (p< 0.05) and nationality (p = 0.01). Conclusion: NCDs mainly CVDs are the leading cause of death. The Covid-19 mortalities were mainly in males, and old age >55y. The lockdown was associated with a reduction in the NCDs and Road traffic accidents mortalities.

scholarly journals Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

2020 ◽  
Vol 6 (12) ◽  
pp. 2448-2456
Author(s):  
Asad Iqbal ◽  
Zia Ur Rehman ◽  
Shahid Ali ◽  
Kaleem Ullah ◽  
Usman Ghani
Keyword(s):  
Road Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Accident Analysis ◽  
Road Traffic Accidents ◽  
Contributing Factors ◽  
Black Spots

Road safety is the main problem in developing countries. Every year, millions of people die in road traffic accidents, resulting in huge losses of humankind and the economy. This study focuses on the road traffic accident analysis and identification of black spots on the Lahore-Islamabad Highway M-2. Official data of road traffic accidents were collected from National Highway and Highway Police (NH & MP) Pakistan. The data was digitized on MS Excel and Origin Pro. The accident Point weightage (APW) method was employed to identify the black spots and rank of the top ten black spots. The analysis shows that the trend of road traffic accidents on M-2 was characterized by a high rate of fatal accidents of 35.3%. Human errors account for 66.8% as the major contributing factors in road traffic accidents, while vehicle errors (25.6%) and environmental factors (7.6%) were secondary and tertiary contributing factors. The main causes of road traffic accidents were the dozing on the wheel (27.9%), the careless driving (24.6%), tyre burst (11.7%), and the brakes failure (7.4%). Kallar Kahar (Salt Range) was identified as a black spot (223 km, 224 km, 225 km, 229 km, and 234 km) due to vehicle brake failure. The human error was a major contributory factor in road traffic accidents, therefore public awareness campaign on road safety is inevitable and use of the dozen alarm to overcome dozing on the wheel. Doi: 10.28991/cej-2020-03091629 Full Text: PDF

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