Analysis of the Relationship Between Traffic Accidents with Human and Physical Factors in Iraq

2019 ◽  
pp. 190-201
Author(s):  
Firas Alrawi ◽  
Amna Ali
Keyword(s):  
Traffic Accidents ◽  
Physical Factors ◽  
The Relationship

Risk assessment of occupational and occupationally conditioned diseases connection to noise when exceeding maximum permissible levels

2019 ◽  
pp. 17-19
Author(s):  
Vladimir A. Fokin ◽  
Dmitrii M. Shlyapnikov ◽  
Svetlana V. Red’ko
Keyword(s):  
Blood Pressure ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
High Blood Pressure ◽  
Noise Exposure ◽  
Physical Factors ◽  
Autonomic Nervous ◽  
Permissible Levels ◽  
The Relationship ◽  
Perm Region

In accordance with the requirements of paragraph 3.2.6 of sanitary rules and norms «Sanitary and epidemiological requirements for physical factors at workplace», in the event of exceeding noise level at workplace above 80 dBA, an employer is obliged to assess the health risk of workers and confirm an acceptable risk to their health. The connection between the incidence of occupational and occupationally conditioned diseases with noise exposure exceeding the maximum permissible levels (80 dBA) was estimated. The assessment was carried out at a food industry enterprise of Perm Region. Assessing the relationship between morbidity and noise exposure is the first step in evaluation of occupational health risks for workers exposed to noise exceeding MAL. If a reliable relationship between morbidity and noise exposure is established, an assessment of occupational risk is conducted. The odds ratio (OR) for diseases characterized by high blood pressure and disorders of autonomic nervous system was <1 (confidence interval CI=0.11–1.61 and CI=0.08–2.78, respectively). The relative risk (RR) for diseases characterized by high blood pressure and disorders of autonomic nervous system was <1. The received data testify absence of connection of morbidity with exposure to industrial noise, calculation of etiological share of responses and levels of risk is not required.

Using CrowdFlower to Study the Relationship between Self-Reported Violations and Traffic Accidents

2014 ◽  
Author(s):  
Joost de Winter ◽  
Miltos Kyriakidis ◽  
Dimitra Dodou ◽  
Riender Happee
Keyword(s):  
Traffic Accidents ◽  
The Relationship

scholarly journals Investigating Health Equity and Healthcare Needs among Immigrant Women Using the Association Rule Mining Method

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 195
Author(s):  
Ming-Hseng Tseng ◽  
Hui-Ching Wu
Keyword(s):  
Association Analysis ◽  
Association Rule ◽  
Association Rule Mining ◽  
Immigrant Women ◽  
Parental Knowledge ◽  
Physical Factors ◽  
Rule Mining ◽  
Socioeconomic Characteristics ◽  
Healthcare Needs ◽  
The Relationship

Equitable access to healthcare services is a major concern among immigrant women. Thus, this study investigated the relationship between socioeconomic characteristics and healthcare needs among immigrant women in Taiwan. The secondary data was obtained from “Survey of Foreign and Chinese Spouses’ Living Requirements, 2008”, which was administered to 5848 immigrant women by the Ministry of the Interior, Taiwan. Additionally, descriptive statistics and significance tests were used to analyze the data, after which the association rule mining algorithm was applied to determine the relationship between socioeconomic characteristics and healthcare needs. According to the findings, the top three healthcare needs were providing medical allowances (52.53%), child health checkups (16.74%), and parental knowledge and pre- and post-natal guidance (8.31%). Based on the association analysis, the main barrier to the women’s healthcare needs was “financial pressure”. This study also found that nationality, socioeconomic status, and duration of residence were associated with such needs, while health inequality among aged immigrant women was due to economic and physical factors. Finally, the association analysis found that the women’s healthcare problems included economic, socio-cultural, and gender weakness, while “economic inequality” and “women’s health” were interrelated.

INFLUENCE OF PSYCHOPHYSIOLOGICAL CHARACTERISTICS OF PERSONS UNDER THE AGE OF EIGHTEEN ON DRIVING A VEHICLE

2021 ◽  
pp. 97-100
Author(s):  
Н.М. Кузнецова
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Statistical Information ◽  
The State ◽  
Road Traffic Accidents ◽  
Traffic Violations ◽  
The Relationship

В статье отражены статистические сведения, характеризующие состояние дорожно-транспортной аварийности, в том числе из-за нарушения правил дорожного движения водителями в возрасте 16-19 лет, рассмотрены взаимосвязь и влияние психофизиологических особенностей на управление транспортным средством у лиц, не достигших 18-летнеговозраста. The article reflects statistical information characterizing the state of road traffic accidents including those due to traffic violations by drivers aged 16-19 years, traced the relationship and influence of psychophysiological characteristics on driving a vehicle in persons under 18 years of age.

scholarly journals Analysis of the Relationship between the Number of Traffic Accidents and the Traffic Flow & Section Location in Extra Long Tunnel

Engineering ◽  
2020 ◽  
Vol 12 (02) ◽  
pp. 71-81
Author(s):  
Zhaoyou Ma ◽  
Shouen Fang ◽  
Shuo Liu ◽  
Bowen Cai
Keyword(s):  
Traffic Flow ◽  
Traffic Accidents ◽  
The Relationship

scholarly journals Fatigue Driving Prediction on Commercial Dangerous Goods Truck Using Location Data: The Relationship between Fatigue Driving and Driving Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Shifeng Niu ◽  
Guiqiang Li
Keyword(s):  
Random Forest ◽  
Traffic Accidents ◽  
Ground Truth ◽  
Predictive Performance ◽  
Location Data ◽  
Dangerous Goods ◽  
Driving Time ◽  
Road Type ◽  
Fatigue Driving ◽  
The Relationship

The approaches monitoring fatigue driving are studied because of the fact that traffic accidents caused by fatigue driving often have fatal consequences. This paper proposes a new approach to predict driving fatigue using location data of commercial dangerous goods truck (CDT) and driver’s yawn data. The proposed location data are from an existing dataset of a transportation company that was collected from 166 vehicles and drivers in an actual driving environment. Six different categories of the predictor set are considered as fatigue-related indexes including travel time, day of week, road type, continuous driving time, average velocity, and overall mileage. The driver’s yawn data are used as a proxy for ground truth for the classification algorithm. From the six different categories of the predictor set, we obtain a set of 17 predictor variables to train logistic regression, neural network, and random forest classifiers. Then, we evaluate the predictive performance of the classifiers based on three indexes: accuracy, F1-measure, and area under the ROC curve (AUROC). The results show that the random forest is more suitable for predicting fatigue driving using location data according to its best accuracy (74.18%), F1-measure (62.02%), and AUROC (0.8059). Finally, we analyze the relationship between fatigue driving and driving environment according to variable importance described by random forest. In summary, our results obviously exhibit the potential of location data for reducing the accident rate caused by fatigue driving in practice.

scholarly journals Epidemiology of pediatric femur fractures in children: the Swedish Fracture Register

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Zandra Engström ◽  
Olof Wolf ◽  
Yasmin D. Hailer
Keyword(s):  
Surgical Treatment ◽  
Traffic Accidents ◽  
Age Distribution ◽  
Fracture Pattern ◽  
Older Children ◽  
Femur Fractures ◽  
Fractures In Children ◽  
Fracture Register ◽  
Lower Ratio ◽  
The Relationship

Abstract Background Although femur fractures in children are rare, they are the most common fractures in need of hospitalization. We sought to describe the epidemiology and treatment of pediatric femur fractures recorded in the Swedish Fracture Register (SFR). We also studied the relationship between femur fractures, age, sex, fracture pattern, injury mechanism, seasonal variation and treatment. Methods This nationwide observational register study was based on the pediatric part of the SFR. We included all patients < 16 years of age who were registered in the SFR from 2015 to 2018. Results Of the 709 femur fractures, 454 (64%) occurred in boys. Sixty-two of these fractures were proximal (9%), 453 shaft (64%) and 194 distal (27%). A bimodal age distribution peak was observed in boys aged 2–3 and 16–19 years. In contrast, the age distribution among girls was evenly distributed. Younger children were mainly injured by a fall, whereas older children sustained their fracture because of traffic accidents. Non-surgical treatment prevailed among younger children; however, prevalence of surgical treatment increased with age. Conclusions We found a lower ratio between boys and girls (1.8:1) compared to earlier studies. The bimodal age distribution was seen only in boys. Falls were the most common injury in younger children, whereas traffic-related accidents were the most common in adolescents. With age, there was a corresponding increase in surgical treatment.

scholarly journals Evaluation of maxillofacial injury in the central part of Nepal

2012 ◽  
Vol 7 (3) ◽  
pp. 11-16 ◽  
Author(s):  
G Biswari ◽  
A Khanal ◽  
P Gupta ◽  
P Bansal
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Physical Assault ◽  
Trauma Patients ◽  
Medical Sciences ◽  
Type Site ◽  
Dental Injuries ◽  
The Relationship ◽  
Animal Attack ◽  
Gender Type

An evaluation of dental and maxillofacial trauma in College of Medical Sciences, Teaching Hospital, Bharatpur, Nepal was carried out to assess the causes of trauma and the relationship between the injuries to the Patient's Age, Gender, Type, Site of injury and the Influence of Alcohol from June 1, 2008 to May 31, 2011. Files of 1986 trauma patients were reviewed. Maxillofacial or dental injuries were observed in 269 (13.54%) of the trauma patients, caused by road traffic accidents 173 (64.3%), fall injury 43 (16.0%), physical assault 25 (9.3%), animal attack 9 (3.3%) and sport injury 19 (7.1%) Men were hospitalized almost three times more than women, most common site of injury was dentoalveolar fracture 79(29.37%) young people were at greater risk. The most frequent age of trauma was 15-29 years (51.7%). DOI: http://dx.doi.org/10.3126/jcmsn.v7i3.6702 Journal of College of Medical Sciences-Nepal, 2011, Vol-7, No-3, 11-16  

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