BACKGROUND Road traffic crashes (RTCs) are a leading cause of death. In low and middle income countries (LMIC) data to conduct hotspot analyses and safety audits are usually incomplete, poor quality, and not computerized. Police data are often limited, but there are no alternative gold standards. This project evaluates high road utilizer surveys as an alternative to police data to identify RTC ...

background: injuries and accidents are one of the main problems in the present century. the purpose of this study was the identification and analysis of the characteristics of pre-hospital emergency motor vehicle accidents (mva) in rafsanjan, iran, in 2014. materials and methods: this cross-sectional descriptive study was performed on all patients recorded by pre-hospital emergency during a per...

BACKGROUND Road traffic injuries (RTIs) are the eighth-leading cause of death worldwide, with low- and middle-income countries sharing a disproportionate number of fatalities. African countries, like Rwanda, carry a higher burden of these fatalities and with increased economic growth, these numbers are expected to rise. We aim to describe the epidemiology of RTIs in Kigali Province, Rwanda and ...

The objective of the study was to present a novel analytical approach using Nigerian trauma registry data determine risks and road traffic crash-related mortality for patients treated at National Trauma Centre, Abuja. Patient characteristics were compared between those who died hospital (n = 118) survived 2018). Multiple logistic regression cluster analyses used identify high injury rates. pati...

Carbon sequestration in rangeland ecosystems has been identified as a suitable strategy to offset greenhouse gas emissions that information of carbon sequestration hotspots is a good tool to improve rangeland management. Objectives for this study were to assessment potential carbon sequestration in various rangeland types, to identify carbon sequestration hotspots and to study the effective fact...

Pedestrian safety is becoming a global concern and an understanding of the contributing factors to severe pedestrian crashes crucial. This study analyzed crash data for San Antonio, TX, over six-year period understand effects pedestrian–vehicle crash-related variables on injury severity based party at fault identify high-risk locations. Bivariate analysis logistic regression were used most sign...

Background: Value of Corticosteroid Randomisation after Significant Head Injury (CRASH) prognostic model has not been assessed in children with traumatic brain injury (TBI). This study is designed to examine the value of CRASH model in prediction of 14-day mortality and 6-month unfavourable outcome of pediatric TBI. Materials and Methods: </stron...