Fatal injuries among motorcyclists in Klang Valley, Malaysia

Ramli, Roszalina; Oxley, Jennifer Anne; Noor, Faridah Mohd; Abdullah, Nurul Kharmila; Mahmood, Mohd Shah; Tajuddin, Abdul Karim; McClure, Roderick John

doi:10.1016/j.jflm.2014.06.007

Cited by 41 publications

(28 citation statements)

References 31 publications

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“…BAC is normally performed in fatal trauma cases, but not for live patients in Malaysia. A previous publication on fatal motorcyclists showed that alcohol and substance abuse was the strongest predictor of fatal injuries . It shows that alcohol is an important risk factor for injured vehicle users.…”

Section: Discussionmentioning

confidence: 92%

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A retrospective analysis of the relationship between facial injury and mild traumatic brain injury

Razak¹,

Nordin

Rahman

et al. 2017

Dental Traumatology

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Section: Discussionmentioning

confidence: 92%

“…A previous publication on fatal motorcyclists showed that alcohol and substance abuse was the strongest predictor of fatal injuries. 33 It shows that alcohol is an important risk factor for injured vehicle users. However, due to some unknown circumstances, it could not be expressed as valid evidence.…”

Section: Discussionmentioning

confidence: 99%

A retrospective analysis of the relationship between facial injury and mild traumatic brain injury

Razak¹,

Nordin

Rahman

et al. 2017

Dental Traumatology

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“…These scales are internationally recognized assessment tools and are commonly used in forensic science [10–17] to quantify the severity of injury and the patient's general condition. After the scales were applied, we performed a descriptive analysis of the variables.…”

Section: Methodsmentioning

confidence: 99%

Predictive models for the assessment of bodily harm

Mayán

Silva

Vázquez

et al. 2017

Forensic Sciences Research

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The Spanish scale to quantify or qualify bodily harm resulting from any unintentional traffic accident prior to 1 January 2016 is established by Royal Legislative Decree (RDL) 8/2004. This scale assigns points to the sequelae, which are converted into Euros using a table that is updated annually. The objective of this study is to develop a predictive model of sequelae points that will enable the estimation of compensation a short time after the accident. This will facilitate the calculation of the money reserve and rapid access to compensation for the injured party. To conduct this study, we developed a database with information from 999 individuals who had suffered car crash injuries which were evaluated according to the scale contained in RDL 8/2004 for medical experts. Predictive models based on logistic regression models were designed on this database. To choose the best model, we calculated Mallow's Cp. The use of hurdle models made it possible to predict the points received by an injured party within a relatively short period of time after the accident. Once these points are known, it is a simple matter to calculate the corresponding compensation. The prediction models developed provide an easy way to predict the compensation to be awarded to the injured party. These models use days of hospitalization, sex, age and the results of international scales based on the Abbreviated Injury Scale. These variables can be used soon after the occurrence of the crash.

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“…This indicated that road safety measures such as road signs and markings have not been self-enforcing. Few studies conducted in Indonesia have also shown that road user behaviours highly contributing on road accidents (Indriastuti and Sulistio, 2010;Ramli, et al, 2014). Comprehending factors affecting risky behaviours, such as traffic rule violations, therefore are important to encourage road safety in urban roads .…”

Section: Introductionmentioning

confidence: 99%