ArticleEmerging themes in epidemiology2011
Using geographical information systems mapping to identify areas presenting high risk for traumatic brain injury.
Article in Emerging themes in epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Bayesian Space-Time Analysis of Brain Cancer Incidence in Southern Ontario, Canada: 2010-2013.Medical sciences (Basel, Switzerland) · 2019Article
- The spatial epidemiology of pediatric trauma: A statewide assessment.The journal of trauma and acute care surgery · 2017Article
- An overview of geospatial methods used in unintentional injury epidemiology.Injury epidemiology · 2016Review
- Area-level global and local clustering of human Salmonella Enteritidis infection rates in the city of Toronto, Canada, 2007-2009.BMC infectious diseases · 2015Article
- Population of Patients With Traumatic Brain Injury in Skilled Nursing Facilities: A Decade of Change.The Journal of head trauma rehabilitationArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this study is to show how geographical information systems (GIS) can be used to track and compare hospitalization rates for traumatic brain injury (TBI) over time and across a large geographical area using population based data. RESULTS & DISCUSSION: Data on TBI hospitalizations, and geographic and demographic variables, came from the Ontario Trauma Registry Minimum Data Set for the fiscal years 1993-1994 and 2001-2002. Various visualization techniques, exploratory data analysis and spatial analysis were employed to map and analyze these data. Both the raw and standardized rates by age/gender of the geographical unit were studied. Data analyses revealed persistent high rates of hospitalization for TBI resulting from any injury mechanism between two time periods in specific geographic locations.
conclusionsThis study shows how geographic information systems can be successfully used to investigate hospitalizaton rates for traumatic brain injury using a range of tools and techniques; findings can be used for local planning of both injury prevention and post discharge services, including rehabilitation.
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Registered trials
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