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The Buffering analysis to identify common geographical factors within the vicinity of severe injury related to motor vehicle crash in Malaysia

机译:缓冲分析以识别马来西亚与机动车碰撞相关的严重伤害附近的常见地理因素

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BACKGROUND:The main objective was to identify common geographical buildup within the100-meter buffer of severely injured based on injury severity score(ISS) among the motor vehicle crash(MVC) victims in Malaysia.METHODS:This was a prospective cohort study from July 2011 until June 2013 and involved all MVC patients attending emergency departments(ED) of two tertiary centers in a district in Malaysia.A set of digital maps was obtained from the Town Planning Unit of the district Municipal Office(local district map).Vector spaces were spanned over these maps using GIS software(ARCGIS 10.1licensed to the study center),and data from the identified severe injured cases based on ISS of 16 or more were added.Buffer analysis was performed and included all events occurring within a 100-meter perimeter around a reference point.RESULTS:A total of 439 cases were recruited over the ten-month data collection period.Fifty two(11%) of the cases were categorized as severe cased based on ISS scoring of 16 and more.Further buffer analysis looking at the buildup areas within the vicinity of the severely injured locations showed that most of the severe injuries occurred at locations on municipal roads(15,29%),straight roads(16,30%) and within villages buildup(suburban) areas(18,35%).CONCLUSION:This study has successfully achieved its objective in identifying common geographical factors and buildup areas within the vicinity of severely injured road traffic cases.
机译:背景:主要目的是根据马来西亚机动车碰撞(MVC)受害者的伤害严重度评分(ISS)来确定重伤百米缓冲区内常见的地理区域。方法:这是自2011年7月起的一项前瞻性队列研究直到2013年6月,所有MVC患者都参加了在马来西亚一个地区的两个三级医疗中心的急诊科(ED)的工作,从地区市政局的城市规划部门获得了一组数字地图(本地区域地图)。使用GIS软件(授权给研究中心的ARCGIS 10.1)在这些地图上进行跨度分析,并添加基于ISS等于或大于16的已识别严重受伤病例的数据。进行了缓冲分析并包括了100米范围内发生的所有事件结果:在10个月的数据收集期内共招募439例病例,其中ISS评分为1的病例中有52例(11%)被归类为严重病例6以及更多。对严重受伤地点附近堆积区域的进一步缓冲分析表明,大多数严重伤害发生在市政道路(15,29%),直行道路(16,30%)和内部的地点结论:本研究已经成功地实现了在严重交通事故案件附近识别常见地理因素和集结区域的目标。

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