ArticleJournal of family medicine and primary care2020
Epidemiological profile and mapping geographical distribution of road traffic accidents reported to a tertiary care hospital, Mangaluru using quantum geographic information system (QGIS).
Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Epidemiological characteristics of foodborne disease outbreaks in Chongqing from 2003 to 2023.PloS one · 2026Article
- Ecology and Infection Status of Sand Flies in Rural and Urban Cutaneous Leishmaniasis Endemic Areas in Northwest Ethiopia.Tropical medicine and infectious disease · 2024Article
- Food-trade-associated COVID-19 outbreak from a contaminated wholesale food supermarket in Beijing.Journal of biosafety and biosecurity · 2021Article
- Incidence and pattern of road traffic injuries in tribal population of Jharkhand: One-year study in a tertiary care teaching hospital.Journal of family medicine and primary care · 2020Article
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Authors and funding
7 authors.
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Abstract
backgroundThe 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.
methodsIt 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.
resultsA 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.
conclusionQGIS 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.
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