BACKGROUND: @entity3331 represent an important category of road traffic injuries among @entity1 , and they are heterogeneous in their aetiology. The aims of this study were to estimate the incidence of road traffic childhood @entity3331 in Greece by age and gender, point out their time, place and @entity1 co-ordinates and identify clusters with distinct characteristics with a view to potential preventive interventions. METHODS: During a 3-year period, 305 @entity1 with @entity3331 resulting from a road traffic accident were identified among the 66,870 @entity1 with injuries recorded in the Emergency Department Injury Surveillance System (EDISS) of Greece. Using previously derived sampling ratios and national data on childhood population, incidence data by age and gender were estimated. Hierarchical analysis was undertaken for cluster identification. RESULTS: The incidence of road traffic @entity3331 was 97.5 per 100,000 @entity1 -years. The incidence increased with age and was higher among @entity1 than among @entity1 . Most childhood @entity3331 (50.2%) occur among pedestrians, and the majority (90.9%) of the @entity1 or their guardians admitted responsibility in crossing the road. Of the 31 @entity1 injured as car passengers, the vast majority (87.1%) were unrestrained, and a large fraction (38.7%) were front seat passengers. Two clusters were identified: the first consisted of younger @entity1 who resided mostly in the Athens area and suffered less serious @entity3331 as pedestrians or car passengers during the colder months; the second consisted of older @entity1 , frequently tourists, who suffered more serious injuries as cyclists while vacationing. CONCLUSIONS: Many of the @entity1 who suffered road traffic @entity3331 as pedestrians admitted responsibility in road crossing, whereas a large proportion of @entity1 who were injured as car passengers were injured while improperly seated in the front and without seatbelt protection. Older @entity1 , frequently tourists, were at high risk of @entity3331 while using motorcycles and bicycles.

A cluster analysis of road traffic-related childhood XXXX .

@entity1 :: ('9606', 'Species') :: ['children', 'girls', 'person', 'boys'] @entity3331 :: ('MESH:D007718', 'Disease') :: ['knee injuries', 'Knee injuries']
@entity3331 :: (MESH:D007718,Disease) :: ['knee injuries']
