Epidemiology of child pedestrian casualty rates: Can we assume spatial independence?

Accident Analysis and Prevention

Volumn 37, Issue 4, 2005, Pages 651-659

  Hewson, Paul J ^a,b  

^a DEVON COUNTY COUNCIL   (United Kingdom)

^b UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Bayesian; Child Pedestrian; Deprivation; Spatial modelling

Indexed keywords

DATA ACQUISITION; ECONOMIC AND SOCIAL EFFECTS; GEOGRAPHICAL REGIONS; MATHEMATICAL MODELS; POPULATION STATISTICS; TRAFFIC CONTROL;

BAYESIAN; CHILD PEDESTRIAN; DEPRIVATION; SPATIAL MODELING;

EPIDEMIOLOGY;

ADOLESCENT; ALGORITHM; ARTICLE; BEHAVIOR; CHILD; CHILD DEVELOPMENT; CLASSIFICATION; DAILY LIFE ACTIVITY; GEOGRAPHY; HUMAN; INFANT; INJURY; MONTE CARLO METHOD; NEWBORN; PHYSIOLOGY; POISSON DISTRIBUTION; PRESCHOOL CHILD; PSYCHOLOGICAL ASPECT; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT; UNITED KINGDOM; WALKING;

ACCIDENTS, TRAFFIC; ACTIVITIES OF DAILY LIVING; ADOLESCENT; ALGORITHMS; CHILD; CHILD DEVELOPMENT; CHILD, PRESCHOOL; ENGLAND; GEOGRAPHY; HUMANS; INFANT; INFANT, NEWBORN; MODELS, STATISTICAL; MONTE CARLO METHOD; POISSON DISTRIBUTION; SPATIAL BEHAVIOR; WALKING; WOUNDS AND INJURIES;

EID: 19944382856     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2005.03.007     Document Type: Article

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