The spatial epidemiology of trauma: the potential of geographic information science to organize data and reveal patterns of injury and services.

Despite important advances in the prevention and treatment of trauma, preventable injuries continue to impact the lives of millions of people. Motor vehicle collisions and violence claim close to 3 million lives each year worldwide. Public health agencies have promoted the need for systematic and ongoing surveillance as a foundation for successful injury control. Surveillance has been used to quantify the incidence of injury for the prioritization of further research, monitor trends over time, identify new injury patterns, and plan and evaluate prevention and intervention efforts. Advances in capability to handle spatial data and substantial increases in computing power have positioned geographic information science (GIS) as a potentially important tool for health surveillance and the spatial organization of health care, and for informing prevention and acute care interventions. Two themes emerge in the trauma literature with respect to GIS theory and techniques: identifying determinants associated with the risk of trauma to guide injury prevention efforts and evaluating the spatial organization and accessibility of acute trauma care systems. We review the current literature on trauma and GIS research and provide examples of the importance of accounting for spatial scale when using spatial analysis for surveillance. The examples illustrate the effect of scale on incident analysis, the geographic variation of major injury across British Columbia's health service delivery areas (HSDAs) and the rates of variation of injury within individual HSDAs.

[1]  Margaret M. Peden,et al.  World Report on Road Traffic Injury Prevention , 2004 .

[2]  P Elliott,et al.  Issues in the statistical analysis of small area health data. , 1999, Statistics in medicine.

[3]  M. Joly,et al.  Geographical and socio-ecological variations of traffic accidents among children. , 1991, Social science & medicine.

[4]  Gerard Rushton,et al.  Public health, GIS, and spatial analytic tools. , 2003, Annual review of public health.

[5]  Tomoki Nakaya,et al.  An Information Statistical Approach to the Modifiable Areal Unit Problem in Incidence Rate Maps , 2000 .

[7]  E. Mackenzie,et al.  Access to trauma centers in the United States. , 2005, JAMA.

[8]  Duck-Hye Yang,et al.  Improving Geocoding Practices: Evaluation of Geocoding Tools , 2004, Journal of Medical Systems.

[9]  Display of small-area variation in health-related data: a methodology using resistant statistics. , 1988, Social science & medicine.

[10]  Trauma systems and major injury centres for the 21st century: an option. , 1999, Health & place.

[11]  M. Quddus,et al.  A spatially disaggregate analysis of road casualties in England. , 2004, Accident; analysis and prevention.

[12]  H. Krueger,et al.  Planning for renewal : mapping primary health care in British Columbia , 2005 .

[13]  Sara L McLafferty,et al.  GIS and health care. , 2003, Annual review of public health.

[14]  M. Charlton,et al.  Quantitative geography : perspectives on spatial data analysis by , 2001 .

[15]  Stan Openshaw,et al.  Modifiable Areal Unit Problem , 2008, Encyclopedia of GIS.

[16]  G Lapidus,et al.  Population, income, and ecological correlates of child pedestrian injury. , 1991, Pediatrics.

[17]  Trevor C. Bailey,et al.  Interactive Spatial Data Analysis , 1995 .

[18]  T. To,et al.  Trends in rates of death from unintentional injury among Canadian children in urban areas: influence of socioeconomic status , 2006, Canadian Medical Association Journal.

[19]  David W. S. Wong The Modifiable Areal Unit Problem (MAUP) , 2004 .

[20]  E. Krug,et al.  The world report on violence and health , 2002, The Lancet.

[21]  Y. MacNab Bayesian spatial and ecological models for small-area accident and injury analysis. , 2002, Accident; analysis and prevention.

[22]  P. Burton,et al.  Relationships between child, family and neighbourhood characteristics and childhood injury: a cohort study. , 2005, Social science & medicine.

[23]  W. Pickett,et al.  Socioeconomic differences in childhood injury: a population based epidemiologic study in Ontario, Canada , 2000, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[24]  David Martin,et al.  Zone design for environment and health studies using pre-aggregated data. , 2005, Social science & medicine.

[25]  Linking and Combining Data to Develop Statistics for Understanding the Population’s Health , 2005 .

[26]  Geographic variation of pediatric burn injuries in a metropolitan area , 2003 .

[27]  G Lapidus,et al.  Using a geographic information system to understand child pedestrian injury. , 1994, American journal of public health.

[28]  M. Dowd,et al.  Relationship between socioeconomic factors and severe childhood injuries , 2001, Journal of Urban Health.

[29]  L. Millward Household and neighbourhood risks for injury to 5-14 year old children , 2003 .

[30]  R. Reading,et al.  Accidents to preschool children: comparing family and neighbourhood risk factors. , 1999, Social science & medicine.

[31]  E. Mackenzie,et al.  A resource-based assessment of trauma care in the United States. , 2004, The Journal of trauma.

[32]  G B Hall,et al.  Assessment of ambulance response performance using a geographic information system. , 1999, Social science & medicine.

[33]  Daniel O Scharfstein,et al.  A national evaluation of the effect of trauma-center care on mortality. , 2006, The New England journal of medicine.

[34]  E. Shenassa,et al.  Social disparities in housing and related pediatric injury: a multilevel study. , 2004, American journal of public health.

[35]  P. Raina,et al.  Neighborhood, family, and child predictors of childhood injury in Canada. , 2004, American journal of health behavior.

[36]  S. Cohn,et al.  The epidemic of pediatric traffic injuries in South Florida: a review of the problem and initial results of a prospective surveillance strategy. , 2004, American journal of public health.

[37]  S. Openshaw Ecological Fallacies and the Analysis of Areal Census Data , 1984, Environment & planning A.

[38]  Catharyn T. Liverman,et al.  Reducing the burden of injury : advancing prevention and treatment , 1999 .

[39]  J. de Pina-Cabral,et al.  World , 2004, Science.

[40]  Edward L. Hunter,et al.  Health statistics : shaping policy and practice to improve the population's health , 2005 .

[41]  J A Waller,et al.  Reflections on a half century of injury control. , 1994, American journal of public health.

[42]  S. McLafferty,et al.  GIS and Public Health , 2002 .

[43]  N. Schuurman,et al.  Defining rational hospital catchments for non-urban areas based on travel-time , 2006, International journal of health geographics.