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

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 pro...

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Autores principales: Shaira, Habeena, Naik, Poonam R., Pracheth, R, Nirgude, Abhay S., Nandy, Subhashree, Hiba, MM, Karthika, S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567286/
https://www.ncbi.nlm.nih.gov/pubmed/33102345
http://dx.doi.org/10.4103/jfmpc.jfmpc_190_20
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author Shaira, Habeena
Naik, Poonam R.
Pracheth, R
Nirgude, Abhay S.
Nandy, Subhashree
Hiba, MM
Karthika, S
author_facet Shaira, Habeena
Naik, Poonam R.
Pracheth, R
Nirgude, Abhay S.
Nandy, Subhashree
Hiba, MM
Karthika, S
author_sort Shaira, Habeena
collection PubMed
description 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.
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spelling pubmed-75672862020-10-22 Epidemiological profile and mapping geographical distribution of road traffic accidents reported to a tertiary care hospital, Mangaluru using quantum geographic information system (QGIS) Shaira, Habeena Naik, Poonam R. Pracheth, R Nirgude, Abhay S. Nandy, Subhashree Hiba, MM Karthika, S J Family Med Prim Care Original Article 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. Wolters Kluwer - Medknow 2020-07-30 /pmc/articles/PMC7567286/ /pubmed/33102345 http://dx.doi.org/10.4103/jfmpc.jfmpc_190_20 Text en Copyright: © 2020 Journal of Family Medicine and Primary Care http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Shaira, Habeena
Naik, Poonam R.
Pracheth, R
Nirgude, Abhay S.
Nandy, Subhashree
Hiba, MM
Karthika, S
Epidemiological profile and mapping geographical distribution of road traffic accidents reported to a tertiary care hospital, Mangaluru using quantum geographic information system (QGIS)
title Epidemiological profile and mapping geographical distribution of road traffic accidents reported to a tertiary care hospital, Mangaluru using quantum geographic information system (QGIS)
title_full Epidemiological profile and mapping geographical distribution of road traffic accidents reported to a tertiary care hospital, Mangaluru using quantum geographic information system (QGIS)
title_fullStr Epidemiological profile and mapping geographical distribution of road traffic accidents reported to a tertiary care hospital, Mangaluru using quantum geographic information system (QGIS)
title_full_unstemmed Epidemiological profile and mapping geographical distribution of road traffic accidents reported to a tertiary care hospital, Mangaluru using quantum geographic information system (QGIS)
title_short Epidemiological profile and mapping geographical distribution of road traffic accidents reported to a tertiary care hospital, Mangaluru using quantum geographic information system (QGIS)
title_sort epidemiological profile and mapping geographical distribution of road traffic accidents reported to a tertiary care hospital, mangaluru using quantum geographic information system (qgis)
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567286/
https://www.ncbi.nlm.nih.gov/pubmed/33102345
http://dx.doi.org/10.4103/jfmpc.jfmpc_190_20
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