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使用量子地理信息系统(QGIS)对芒格洛尔一家三级护理医院报告的道路交通事故的流行病学概况及地理分布进行测绘。

Epidemiological profile and mapping geographical distribution of road traffic accidents reported to a tertiary care hospital, Mangaluru using quantum geographic information system (QGIS).

作者信息

Shaira Habeena, Naik Poonam R, Pracheth R, Nirgude Abhay S, Nandy Subhashree, Hiba M M, Karthika S

机构信息

Department of Community Medicine, Yenepoya Medical College, Mangaluru, Karnataka, India.

Yenepoya Medical College, Mangaluru, Karnataka, India.

出版信息

J Family Med Prim Care. 2020 Jul 30;9(7):3652-3656. doi: 10.4103/jfmpc.jfmpc_190_20. eCollection 2020 Jul.

Abstract

BACKGROUND

The worldwide annual average of road traffic accident (RTA) is approximately 7,00,000 and out of that 10% occur in India. It is estimated that in India, by 2020 RTA would have its fatal effect on about 5,50,000 people annually. This study was conducted to describe the epidemiological profile and spatial distribution of RTAs using quantum geographic information system (QGIS) software reported to a tertiary care hospital in Mangaluru.

METHODS

It was a record based descriptive study conducted in a tertiary care hospital of Mangaluru. The complete enumeration of all RTAs reported to Yenepoya Medical College Hospital (YMCH) during January 2018 to June 2018 was followed. QGIS software was used to depict spatial distribution of the road traffic accident on open street map.

RESULTS

A total of 180 cases of RTA was reported to the hospital during the study period, of which 86.1% were males. The mean age of the study participants was 33.99 years. The lower limb was the most common site of injury (48.3%) and fractures were the most common type of injury (55.6%). As per the type of RTA majority (55.6%) was motorbike accidents and drivers (47.8%) were the most common RTA victims. Predominantly RTAs occurred during evening hours of the day (40%). QGIS plotting revealed clustering of RTAs in Dakshina Kannada district, North Karnataka and neighboring districts of Kerala.

CONCLUSION

QGIS can be used at the health care system level as an important tool to plan preventive measures and early intervention measures at the site of RTA.

摘要

背景

全球道路交通事故(RTA)的年平均数量约为70万起,其中10%发生在印度。据估计,到2020年,在印度,道路交通事故每年将导致约55万人死亡。本研究旨在利用量子地理信息系统(QGIS)软件描述向芒格洛尔一家三级护理医院报告的道路交通事故的流行病学概况和空间分布。

方法

这是一项在芒格洛尔一家三级护理医院进行的基于记录的描述性研究。对2018年1月至2018年6月期间向耶内波亚医学院医院(YMCH)报告的所有道路交通事故进行了全面统计。使用QGIS软件在开放街道地图上描绘道路交通事故的空间分布。

结果

在研究期间,医院共报告了180例道路交通事故病例,其中86.1%为男性。研究参与者的平均年龄为33.99岁。下肢是最常见的受伤部位(48.3%),骨折是最常见的损伤类型(55.6%)。就道路交通事故类型而言,大多数(55.6%)是摩托车事故,司机(47.8%)是最常见的道路交通事故受害者。道路交通事故主要发生在白天的傍晚时分(40%)。QGIS绘图显示,道路交通事故在南卡纳塔克邦、北卡纳塔克邦和喀拉拉邦的邻近地区呈聚集状态。

结论

在医疗保健系统层面,QGIS可作为一种重要工具,用于规划道路交通事故现场的预防措施和早期干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3de/7567286/9ba5837ee6b5/JFMPC-9-3652-g001.jpg

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